Cambridge Research Methods course timetable

The SSRMC Administrator will make all bookings for this module. If you would like to follow the module you must complete the SSRMC skills audit or have successfully completed the Foundations in Applied Statistics (FiAS) and Basic Quantitative Analysis (BQA) modules before a place can be booked for you.

This module is part of the Social Science Research Methods Centre training programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research methods skills that are relevant across the social sciences.

This module will introduce you to the theory and practice of multivariate analysis, covering Ordinary Least Squares (OLS) and logistic regressions. You will learn how to read published results critically, to do simple multivariate modelling yourself, and to interpret and write about your results intelligently.

Half of the module is based in the lecture theatre, and covers the theory behind multivariate regression; the other half is lab-based, in which students will work through practical exercises using statistical software.

To get the most out of the course, you should also expect to spend some time between sessions having fun by building your own statistical models.

This module is part of the Social Science Research Methods Centre training programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research methods skills that are relevant across the social sciences.

The module will introduce students to the study of language use as a distinctive type of social practice. Attention will be focused primarily on the methodological and analytic principles of conversation analysis. (CA). However, it will explore the debates between CA and Critical Discourse Analysis (CDA), as a means of addressing the relationship between the study of language use and the study of other aspects of social life. It will also consider the roots of conversation analysis in the research initiatives of ethnomethodology, and the analysis of ordinary and institutional talk. It will finally consider the interface between CA and CDA.

This module is part of the Social Science Research Methods Centre training programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research methods skills that are relevant across the social sciences.

Face-to-face interviews are used to collect a wide range of information in the social sciences. They are appropriate for the gathering of information on individual and institutional patterns of behaviour; complex histories or processes; identities and cultural meanings; routines that are not written down; and life-history events. Face-to-face interviews thus comprise an appropriate method to generate information on individual behaviour, the reasons for certain patterns of acting and talking, and the type of connection people have with each other.

The first session provides an overview of interviewing as a social research method, then focuses on the processes of organising and conducting qualitative interviews. The second session explores the ethics and practical constraints of interviews as a research method, particularly relevant when attempting to engage with marginalised or stigmatised communities. The third session focuses on organisation and analysis after interviews, including interpretation through coding and close reading. This session involves practical examples from qualitative analysis software. The final session provides an opportunity for a hands-on session, to which students should bring their interview material (at whatever stage of the process: whether writing interview questions, coding or analysing data) in order to receive advice and support in taking the interview material/data to the next stage of the research process.

The SSRMC Administrator will make all bookings for this module. If you would like to follow the module you must complete the SSRMC skills audit or have successfully completed the Foundations in Applied Statistics (FiAS), Basic Quantitative Analysis (BQA) and Doing Multivariate Analysis (DMA) modules before a place can be booked for you.

This module is part of the Social Science Research Methods Centre training programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research methods skills that are relevant across the social sciences.

This module is an extension of the three previous modules in the Basic Statistics stream, covering the theory and practice of multivariate analysis. Students will gain deeper knowledge of interaction effects in regression models and its interpretation as well as introduction to ordered and categorical regression models. You will learn why and when to use interaction between explanatory variables, to do simple marginal effects of interaction variables, to understand the principles for employing multinomial and ordered categorical models, to perform simple models or these kind, and to interpret and write about your results intelligently. Half of the module is based in the lecture theatre, and covers the theory behind interaction effects, multinomial and ordered categorical models. The other half is lab-based, in which students will work through practical exercises using STATA statistical software.

The SSRMC Administrator will make all bookings for this module. If you would like to follow the module you must complete the SSRMC skills audit or have successfully completed the Foundations in Applied Statistics (FiAS), Basic Quantitative Analysis (BQA) and Doing Multivariate Analysis (DMA) modules before a place can be booked for you.

This module is part of the Social Science Research Methods Centre training programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research methods skills that are relevant across the social sciences.

This module is an extension of the three previous modules in the Basic Statistics stream, covering the theory and practice of multivariate analysis. Students will gain deeper knowledge of interaction effects in regression models and its interpretation as well as introduction to ordered and categorical regression models. You will learn why and when to use interaction between explanatory variables, to do simple marginal effects of interaction variables, to understand the principles for employing multinomial and ordered categorical models, to perform simple models or these kind, and to interpret and write about your results intelligently. Half of the module is based in the lecture theatre, and covers the theory behind interaction effects, multinomial and ordered categorical models. The other half is lab-based, in which students will work through practical exercises using STATA statistical software.

This module is part of the Social Science Research Methods Centre training programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research methods skills that are relevant across the social sciences.

The module will introduce students to the study of language use as a distinctive type of social practice. Attention will be focused primarily on the methodological and analytic principles of conversation analysis. (CA). However, it will explore the debates between CA and Critical Discourse Analysis (CDA), as a means of addressing the relationship between the study of language use and the study of other aspects of social life. It will also consider the roots of conversation analysis in the research initiatives of ethnomethodology, and the analysis of ordinary and institutional talk. It will finally consider the interface between CA and CDA.

This module is part of the Social Science Research Methods Centre training programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research methods skills that are relevant across the social sciences.

Face-to-face interviews are used to collect a wide range of information in the social sciences. They are appropriate for the gathering of information on individual and institutional patterns of behaviour; complex histories or processes; identities and cultural meanings; routines that are not written down; and life-history events. Face-to-face interviews thus comprise an appropriate method to generate information on individual behaviour, the reasons for certain patterns of acting and talking, and the type of connection people have with each other.

The first session provides an overview of interviewing as a social research method, then focuses on the processes of organising and conducting qualitative interviews. The second session explores the ethics and practical constraints of interviews as a research method, particularly relevant when attempting to engage with marginalised or stigmatised communities. The third session focuses on organisation and analysis after interviews, including interpretation through coding and close reading. This session involves practical examples from qualitative analysis software. The final session provides an opportunity for a hands-on session, to which students should bring their interview material (at whatever stage of the process: whether writing interview questions, coding or analysing data) in order to receive advice and support in taking the interview material/data to the next stage of the research process.

This module is part of the Social Science Research Methods Centre training programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research methods skills that are relevant across the social sciences.

This module introduces the statistical techniques of Exploratory and Confirmatory Factor Analyses. Exploratory Factor Analysis (EFA) is used to uncover the latent structure (dimensions) of a set of variables. It reduces the attribute space from a larger number of variables to a smaller number of factors. Confirmatory Factor Analysis (CFA) examines whether collected data correspond to a model of what the data are meant to measure. STATA will be introduced as a powerful tool to conduct confirmatory factor analysis. A brief introduction will be given to confirmatory factor analysis and structural equation modelling.

The SSRMC Administrator will make all bookings for this module. If you would like to follow the module you must complete the SSRMC skills audit or have successfully completed the Foundations in Applied Statistics (FiAS), Basic Quantitative Analysis (BQA) and Doing Multivariate Analysis (DMA) modules before a place can be booked for you.

This module is part of the Social Science Research Methods Centre training programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research methods skills that are relevant across the social sciences.

This module is an extension of the three previous modules in the Basic Statistics stream, covering the theory and practice of multivariate analysis. Students will gain deeper knowledge of interaction effects in regression models and its interpretation as well as introduction to ordered and categorical regression models. You will learn why and when to use interaction between explanatory variables, to do simple marginal effects of interaction variables, to understand the principles for employing multinomial and ordered categorical models, to perform simple models or these kind, and to interpret and write about your results intelligently. Half of the module is based in the lecture theatre, and covers the theory behind interaction effects, multinomial and ordered categorical models. The other half is lab-based, in which students will work through practical exercises using STATA statistical software.

The SSRMC Administrator will make all bookings for this module. If you would like to follow the module you must complete the SSRMC skills audit or have successfully completed the Foundations in Applied Statistics (FiAS), Basic Quantitative Analysis (BQA) and Doing Multivariate Analysis (DMA) modules before a place can be booked for you.

This module is part of the Social Science Research Methods Centre training programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research methods skills that are relevant across the social sciences.

This module is an extension of the three previous modules in the Basic Statistics stream, covering the theory and practice of multivariate analysis. Students will gain deeper knowledge of interaction effects in regression models and its interpretation as well as introduction to ordered and categorical regression models. You will learn why and when to use interaction between explanatory variables, to do simple marginal effects of interaction variables, to understand the principles for employing multinomial and ordered categorical models, to perform simple models or these kind, and to interpret and write about your results intelligently. Half of the module is based in the lecture theatre, and covers the theory behind interaction effects, multinomial and ordered categorical models. The other half is lab-based, in which students will work through practical exercises using STATA statistical software.

This module is part of the Social Science Research Methods Centre training programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research methods skills that are relevant across the social sciences.

This module provides a brief introduction to panel data analysis (PDA). Panel data are gathered by taking repeated observations from a series of research units (eg. individuals, firms) as they move through time. This course focuses primarily on panel data with a large number of research units tracked for a relatively small number of time points.

The module begins by introducing key concepts, benefits and pitfalls of PDA. Students are then taught how to manipulate and describe panel data in Stata. The latter part of the module introduces random and fixed effects panel models for continuous and dichotomous outcomes. The course is taught through a mixture of lectures and practical sessions designed to give students hands-on experience of working with real-world data from the British Household Panel Survey.

This module is part of the Social Science Research Methods Centre training programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research methods skills that are relevant across the social sciences.

This module provides a brief introduction to panel data analysis (PDA). Panel data are gathered by taking repeated observations from a series of research units (eg. individuals, firms) as they move through time. This course focuses primarily on panel data with a large number of research units tracked for a relatively small number of time points.

The module begins by introducing key concepts, benefits and pitfalls of PDA. Students are then taught how to manipulate and describe panel data in Stata. The latter part of the module introduces random and fixed effects panel models for continuous and dichotomous outcomes. The course is taught through a mixture of lectures and practical sessions designed to give students hands-on experience of working with real-world data from the British Household Panel Survey.

This module is part of the Social Science Research Methods Centre training programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research methods skills that are relevant across the social sciences.

Students are introduced to multilevel modelling techniques (a.k.a. hierarchical linear modelling). MLM allows one to analyse how contexts influence outcomes ie do schools/neighbourhoods influence behaviour.

STATA will be used during this module. No prior knowledge of STATA will be assumed.

This module is part of the Social Science Research Methods Centre training programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research methods skills that are relevant across the social sciences.

This module introduces the time series techniques relevant to forecasting in social science research and computer implementation of the methods. Background in basic statistical theory and regression methods is assumed. Topics covered include time series regression, moving average, exponential smoothing and decomposition. The study of applied work is emphasized in this non-specialist module.

This module is part of the Social Science Research Methods Centre training programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research methods skills that are relevant across the social sciences.

Students are introduced to multilevel modelling techniques (a.k.a. hierarchical linear modelling). MLM allows one to analyse how contexts influence outcomes ie do schools/neighbourhoods influence behaviour.

STATA will be used during this module. No prior knowledge of STATA will be assumed.

This module is part of the Social Science Research Methods Centre training programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research methods skills that are relevant across the social sciences.

The challenge of causal inference is ubiquitous in social science. Nearly every research project fundamentally is about causes and effects. This course will introduce graduate students to core issues about causal inference in quantitative social research, focusing especially on how one can move from demonstrating correlation to causation. The first lecture will define key concepts of correlates, risk factors, causes, mediators and moderators. The second lecture will discuss quasi-experimental research designs (studies without random assignment), and issues of “validity” in drawing causal conclusions. The third and fourth sessions will be lectures and practicals introducing two key analytic methods (propensity score matching and fixed effects regression models) that can be used to help identify causes. The course will focus on studies in which individual people are the basic unit of analyses, particularly longitudinal studies which follow the same people over multiple waves of assessment.

This module is part of the Social Science Research Methods Centre training programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research methods skills that are relevant across the social sciences.

Students are introduced to multilevel modelling techniques (a.k.a. hierarchical linear modelling). MLM allows one to analyse how contexts influence outcomes ie do schools/neighbourhoods influence behaviour.

STATA will be used during this module. No prior knowledge of STATA will be assumed.

This module is part of the Social Science Research Methods Centre training programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research methods skills that are relevant across the social sciences.

Students are introduced to multilevel modelling techniques (a.k.a. hierarchical linear modelling). MLM allows one to analyse how contexts influence outcomes ie do schools/neighbourhoods influence behaviour.

STATA will be used during this module. No prior knowledge of STATA will be assumed.

This two-day course provides an introduction to social network analysis. On the first day, we will explore the history of social network analysis in the social sciences, focusing on the theoretical underpinnings of the social network approach in sociology. You will be introduced to methods for analyzing both ego-centred and global network data. The afternoon lab session will provide introductory instruction in basic network analytic techniques, using SPSS and UCINET. On the second day, we will examine applications of social network analysis across various disciplines, including anthropology, sociology, and the health sciences. During the lab on the second day, you will be introduced to more advanced network techniques in UCINET, and to basic network visualization methods in Netdraw.

This two-day course provides an introduction to social network analysis. On the first day, we will explore the history of social network analysis in the social sciences, focusing on the theoretical underpinnings of the social network approach in sociology. You will be introduced to methods for analyzing both ego-centred and global network data. The afternoon lab session will provide introductory instruction in basic network analytic techniques, using SPSS and UCINET. On the second day, we will examine applications of social network analysis across various disciplines, including anthropology, sociology, and the health sciences. During the lab on the second day, you will be introduced to more advanced network techniques in UCINET, and to basic network visualization methods in Netdraw.

This is an Open Access module, so please read the course description carefully before making a booking, and be advised that spaces may be limited.

The course focuses on practical hands-on variable handling and programming implementation rather than on theory. This course is intended for those who have never programmed before including those who only call/run Matlab scripts but are not familiar with how code works and how matrices are handled in Matlab. (Note that calling a couple of scripts is not 'real' programming.)

More information on the course can be found, here: http://www.psychol.cam.ac.uk/grads/grads/pg-prog/programming#section-0

Ethics is becoming an increasingly important issue for all researchers and the aim of this session is to demonstrate the practical value of thinking seriously and systematically about what constitutes ethical conduct in social science research. The session will involve some small-group work.

Introducing students to the general philosophical debates concerning scientific methodology; assessing their ramifications for the conduct of qualitative social research. To critically evaluate major programmes in the philosophy of sciences, considering whether there are important analytic differences between the social and natural sciences; and whether qualitative methods themselves comprise a unified approach to the study of social reality.

This foundational course is for graduate students who have no prior training in statistics.

Topics covered include: the notion of variables and how they are measured; ways of describing the central tendency and the dispersion of a variable; and the principles of hypothesis testing and statistical significance. The course also introduces students to the software Stata. Each session consists of a lecture part, and a computer lab part with exercises in Stata.

Bookings

All students wishing to book a place on this module must complete the SSRMC Skill Check before a place can be booked for them.

Students that have already completed the Skill Check may have had a place booked for them by their Department. Students can check this by typing their CRSid into the search box at the very top right of this page, hitting the enter key then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Students for whom this module is not compulsory can make a booking via the Basic Statistics Stream Booking Form on the SSRMC website.

In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.

This foundational course is for graduate students who have no prior training in statistics.

Topics covered include: the notion of variables and how they are measured; ways of describing the central tendency and the dispersion of a variable; and the principles of hypothesis testing and statistical significance. The course also introduces students to the software Stata. Each session consists of a lecture part, and a computer lab part with exercises in Stata.

Bookings

All students wishing to book a place on this module must complete the SSRMC Skill Check before a place can be booked for them.

Students that have already completed the Skill Check may have had a place booked for them by their Department. Students can check this by typing their CRSid into the search box at the very top right of this page, hitting the enter key then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Students for whom this module is not compulsory can make a booking via the Basic Statistics Stream Booking Form on the SSRMC website.

In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.

This foundational course is for graduate students who have no prior training in statistics.

Topics covered include: the notion of variables and how they are measured; ways of describing the central tendency and the dispersion of a variable; and the principles of hypothesis testing and statistical significance. The course also introduces students to the software Stata. Each session consists of a lecture part, and a computer lab part with exercises in Stata.

Bookings

All students wishing to book a place on this module must complete the SSRMC Skill Check before a place can be booked for them.

Students that have already completed the Skill Check may have had a place booked for them by their Department. Students can check this by typing their CRSid into the search box at the very top right of this page, hitting the enter key then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Students for whom this module is not compulsory can make a booking via the Basic Statistics Stream Booking Form on the SSRMC website.

In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.

Week 2 - The Janus-Faced nature of Nationalism

This module will start by analyzing the so-called ‘Dark side’ of Nationalism often associated with xenophobia, ethnic cleansing and racism. In contrast, the Democratic side of Nationalism will be connected with the quest for recognition of national and ethnic minorities in the West.

Key questions: What are the major strengths of Nationalism? What do we mean by Nationalism? In which circumstances can we refer to nationalism as an ideology of inclusion and exclusion?

Week 3 - Globalization and National Identity

Identity is a definition, an interpretation of the self that establishes what and where the person is both in social and psychological terms. We will explore the contrast between Individual and Collective forms of identity. Key theories of nationalism will be will be taken and discussed in class into account the relevance of Nationalism in modern History.

Week 4 - The Rise of the Radical Right in Europe

We are witnessing a widening gap between the elites and the unemployed. In this context, feelings of vulnerability, fear of immigrants and resentment towards both the state and society come to the fore. Inequality comes to the fore and, in this context, the Radical Right is able gain support.

Key Questions to be debated in class:

1. How to generate national identity in peace time?
2. Identify some key connections between ‘nationalism and war’
3. In your view, what are the main reasons that explain the rise of the radical right?

This foundational course is for graduate students who have no prior training in statistics.

Topics covered include: the notion of variables and how they are measured; ways of describing the central tendency and the dispersion of a variable; and the principles of hypothesis testing and statistical significance. The course also introduces students to the software Stata. Each session consists of a lecture part, and a computer lab part with exercises in Stata.

Bookings

All students wishing to book a place on this module must complete the SSRMC Skill Check before a place can be booked for them.

Students that have already completed the Skill Check may have had a place booked for them by their Department. Students can check this by typing their CRSid into the search box at the very top right of this page, hitting the enter key then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Students for whom this module is not compulsory can make a booking via the Basic Statistics Stream Booking Form on the SSRMC website.

In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.

This foundational course is for graduate students who have no prior training in statistics.

Topics covered include: the notion of variables and how they are measured; ways of describing the central tendency and the dispersion of a variable; and the principles of hypothesis testing and statistical significance. The course also introduces students to the software Stata. Each session consists of a lecture part, and a computer lab part with exercises in Stata.

Bookings

All students wishing to book a place on this module must complete the SSRMC Skill Check before a place can be booked for them.

Students that have already completed the Skill Check may have had a place booked for them by their Department. Students can check this by typing their CRSid into the search box at the very top right of this page, hitting the enter key then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Students for whom this module is not compulsory can make a booking via the Basic Statistics Stream Booking Form on the SSRMC website.

In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.

This foundational course is for graduate students who have no prior training in statistics.

Topics covered include: the notion of variables and how they are measured; ways of describing the central tendency and the dispersion of a variable; and the principles of hypothesis testing and statistical significance. The course also introduces students to the software Stata. Each session consists of a lecture part, and a computer lab part with exercises in Stata.

Bookings

All students wishing to book a place on this module must complete the SSRMC Skill Check before a place can be booked for them.

Students that have already completed the Skill Check may have had a place booked for them by their Department. Students can check this by typing their CRSid into the search box at the very top right of this page, hitting the enter key then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Students for whom this module is not compulsory can make a booking via the Basic Statistics Stream Booking Form on the SSRMC website.

In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.

This foundational course is for graduate students who have no prior training in statistics.

Topics covered include: the notion of variables and how they are measured; ways of describing the central tendency and the dispersion of a variable; and the principles of hypothesis testing and statistical significance. The course also introduces students to the software Stata. Each session consists of a lecture part, and a computer lab part with exercises in Stata.

Bookings

All students wishing to book a place on this module must complete the SSRMC Skill Check before a place can be booked for them.

Students that have already completed the Skill Check may have had a place booked for them by their Department. Students can check this by typing their CRSid into the search box at the very top right of this page, hitting the enter key then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Students for whom this module is not compulsory can make a booking via the Basic Statistics Stream Booking Form on the SSRMC website.

In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.

This foundational course is for graduate students who have no prior training in statistics.

Topics covered include: the notion of variables and how they are measured; ways of describing the central tendency and the dispersion of a variable; and the principles of hypothesis testing and statistical significance. The course also introduces students to the software Stata. Each session consists of a lecture part, and a computer lab part with exercises in Stata.

Bookings

All students wishing to book a place on this module must complete the SSRMC Skill Check before a place can be booked for them.

Students that have already completed the Skill Check may have had a place booked for them by their Department. Students can check this by typing their CRSid into the search box at the very top right of this page, hitting the enter key then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Students for whom this module is not compulsory can make a booking via the Basic Statistics Stream Booking Form on the SSRMC website.

In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.

This foundational course is for graduate students who have no prior training in statistics.

Topics covered include: the notion of variables and how they are measured; ways of describing the central tendency and the dispersion of a variable; and the principles of hypothesis testing and statistical significance. The course also introduces students to the software Stata. Each session consists of a lecture part, and a computer lab part with exercises in Stata.

Bookings

All students wishing to book a place on this module must complete the SSRMC Skill Check before a place can be booked for them.

Students that have already completed the Skill Check may have had a place booked for them by their Department. Students can check this by typing their CRSid into the search box at the very top right of this page, hitting the enter key then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Students for whom this module is not compulsory can make a booking via the Basic Statistics Stream Booking Form on the SSRMC website.

In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.

This foundational course is for graduate students who have no prior training in statistics.

Topics covered include: the notion of variables and how they are measured; ways of describing the central tendency and the dispersion of a variable; and the principles of hypothesis testing and statistical significance. The course also introduces students to the software Stata. Each session consists of a lecture part, and a computer lab part with exercises in Stata.

Bookings

All students wishing to book a place on this module must complete the SSRMC Skill Check before a place can be booked for them.

Students that have already completed the Skill Check may have had a place booked for them by their Department. Students can check this by typing their CRSid into the search box at the very top right of this page, hitting the enter key then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Students for whom this module is not compulsory can make a booking via the Basic Statistics Stream Booking Form on the SSRMC website.

In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.

Week 2 - The Janus-Faced nature of Nationalism

This module will start by analyzing the so-called ‘Dark side’ of Nationalism often associated with xenophobia, ethnic cleansing and racism. In contrast, the Democratic side of Nationalism will be connected with the quest for recognition of national and ethnic minorities in the West.

Key questions: What are the major strengths of Nationalism? What do we mean by Nationalism? In which circumstances can we refer to nationalism as an ideology of inclusion and exclusion?

Week 3 - Globalization and National Identity

Identity is a definition, an interpretation of the self that establishes what and where the person is both in social and psychological terms. We will explore the contrast between Individual and Collective forms of identity. Key theories of nationalism will be will be taken and discussed in class into account the relevance of Nationalism in modern History.

Week 4 - The Rise of the Radical Right in Europe

We are witnessing a widening gap between the elites and the unemployed. In this context, feelings of vulnerability, fear of immigrants and resentment towards both the state and society come to the fore. Inequality comes to the fore and, in this context, the Radical Right is able gain support.

Key Questions to be debated in class:

1. How to generate national identity in peace time?
2. Identify some key connections between ‘nationalism and war’
3. In your view, what are the main reasons that explain the rise of the radical right?

This foundational course is for graduate students who have no prior training in statistics.

Topics covered include: the notion of variables and how they are measured; ways of describing the central tendency and the dispersion of a variable; and the principles of hypothesis testing and statistical significance. The course also introduces students to the software Stata. Each session consists of a lecture part, and a computer lab part with exercises in Stata.

Bookings

All students wishing to book a place on this module must complete the SSRMC Skill Check before a place can be booked for them.

Students that have already completed the Skill Check may have had a place booked for them by their Department. Students can check this by typing their CRSid into the search box at the very top right of this page, hitting the enter key then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Students for whom this module is not compulsory can make a booking via the Basic Statistics Stream Booking Form on the SSRMC website.

In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.

This foundational course is for graduate students who have no prior training in statistics.

Topics covered include: the notion of variables and how they are measured; ways of describing the central tendency and the dispersion of a variable; and the principles of hypothesis testing and statistical significance. The course also introduces students to the software Stata. Each session consists of a lecture part, and a computer lab part with exercises in Stata.

Bookings

All students wishing to book a place on this module must complete the SSRMC Skill Check before a place can be booked for them.

Students that have already completed the Skill Check may have had a place booked for them by their Department. Students can check this by typing their CRSid into the search box at the very top right of this page, hitting the enter key then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Students for whom this module is not compulsory can make a booking via the Basic Statistics Stream Booking Form on the SSRMC website.

In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.

This foundational course is for graduate students who have no prior training in statistics.

Topics covered include: the notion of variables and how they are measured; ways of describing the central tendency and the dispersion of a variable; and the principles of hypothesis testing and statistical significance. The course also introduces students to the software Stata. Each session consists of a lecture part, and a computer lab part with exercises in Stata.

Bookings

All students wishing to book a place on this module must complete the SSRMC Skill Check before a place can be booked for them.

Students that have already completed the Skill Check may have had a place booked for them by their Department. Students can check this by typing their CRSid into the search box at the very top right of this page, hitting the enter key then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Students for whom this module is not compulsory can make a booking via the Basic Statistics Stream Booking Form on the SSRMC website.

In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.

This foundational course is for graduate students who have no prior training in statistics.

Topics covered include: the notion of variables and how they are measured; ways of describing the central tendency and the dispersion of a variable; and the principles of hypothesis testing and statistical significance. The course also introduces students to the software Stata. Each session consists of a lecture part, and a computer lab part with exercises in Stata.

Bookings

All students wishing to book a place on this module must complete the SSRMC Skill Check before a place can be booked for them.

Students that have already completed the Skill Check may have had a place booked for them by their Department. Students can check this by typing their CRSid into the search box at the very top right of this page, hitting the enter key then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Students for whom this module is not compulsory can make a booking via the Basic Statistics Stream Booking Form on the SSRMC website.

In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.

This module is part of the Social Science Research Methods Centre training programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research methods skills that are relevant across the social sciences.

This course provides an introduction to some of the methodological issues involved in researching organisations. Drawing on examples of studies carried out in a wide range of different types of organisation, the aim will be to explore practical strategies to overcome some of problems that are typically encountered in undertaking such studies.

This module introduces students to four of the most commonly used statistical tests in the social sciences: correlation, chi-square tests, t-tests, and analysis of variance (ANOVA). Building upon the univariate techniques introduced in the Foundations in Applied Statistics module, these sessions aim to provide students with a thorough understanding of statistical methods designed to test associations between two variables (bivariate statistics). Students will learn about the assumptions underlying each test, and will receive practical instruction on how to generate and interpret bivariate results using Stata.

Bookings

Before a place can be booked for them, all students wishing to book a place on this module must have either:

• Completed the SSRMC Skill Check

OR

• Have successfully completed Foundations in Applied Statistics (FiAS)

Students that have already completed the SSRMC Skill Check may have had a place booked for them by their Department. Students can check this by typing their CRSid into the search box at the very top right of this page, hitting the enter key then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Students for whom this module is not compulsory can make a booking via the Basic Statistics Stream Booking Form on the SSRMC website.

In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.

This module introduces students to four of the most commonly used statistical tests in the social sciences: correlation, chi-square tests, t-tests, and analysis of variance (ANOVA). Building upon the univariate techniques introduced in the Foundations in Applied Statistics module, these sessions aim to provide students with a thorough understanding of statistical methods designed to test associations between two variables (bivariate statistics). Students will learn about the assumptions underlying each test, and will receive practical instruction on how to generate and interpret bivariate results using Stata.

Bookings

Before a place can be booked for them, all students wishing to book a place on this module must have either:

• Completed the SSRMC Skill Check

OR

• Have successfully completed Foundations in Applied Statistics (FiAS)

Students that have already completed the SSRMC Skill Check may have had a place booked for them by their Department. Students can check this by typing their CRSid into the search box at the very top right of this page, hitting the enter key then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Students for whom this module is not compulsory can make a booking via the Basic Statistics Stream Booking Form on the SSRMC website.

In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.

Week 2 - The Janus-Faced nature of Nationalism

This module will start by analyzing the so-called ‘Dark side’ of Nationalism often associated with xenophobia, ethnic cleansing and racism. In contrast, the Democratic side of Nationalism will be connected with the quest for recognition of national and ethnic minorities in the West.

Key questions: What are the major strengths of Nationalism? What do we mean by Nationalism? In which circumstances can we refer to nationalism as an ideology of inclusion and exclusion?

Week 3 - Globalization and National Identity

Identity is a definition, an interpretation of the self that establishes what and where the person is both in social and psychological terms. We will explore the contrast between Individual and Collective forms of identity. Key theories of nationalism will be will be taken and discussed in class into account the relevance of Nationalism in modern History.

Week 4 - The Rise of the Radical Right in Europe

We are witnessing a widening gap between the elites and the unemployed. In this context, feelings of vulnerability, fear of immigrants and resentment towards both the state and society come to the fore. Inequality comes to the fore and, in this context, the Radical Right is able gain support.

Key Questions to be debated in class:

1. How to generate national identity in peace time?
2. Identify some key connections between ‘nationalism and war’
3. In your view, what are the main reasons that explain the rise of the radical right?

This module introduces students to four of the most commonly used statistical tests in the social sciences: correlation, chi-square tests, t-tests, and analysis of variance (ANOVA). Building upon the univariate techniques introduced in the Foundations in Applied Statistics module, these sessions aim to provide students with a thorough understanding of statistical methods designed to test associations between two variables (bivariate statistics). Students will learn about the assumptions underlying each test, and will receive practical instruction on how to generate and interpret bivariate results using Stata.

Bookings

Before a place can be booked for them, all students wishing to book a place on this module must have either:

• Completed the SSRMC Skill Check

OR

• Have successfully completed Foundations in Applied Statistics (FiAS)

Students that have already completed the SSRMC Skill Check may have had a place booked for them by their Department. Students can check this by typing their CRSid into the search box at the very top right of this page, hitting the enter key then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Students for whom this module is not compulsory can make a booking via the Basic Statistics Stream Booking Form on the SSRMC website.

In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.

This module introduces students to four of the most commonly used statistical tests in the social sciences: correlation, chi-square tests, t-tests, and analysis of variance (ANOVA). Building upon the univariate techniques introduced in the Foundations in Applied Statistics module, these sessions aim to provide students with a thorough understanding of statistical methods designed to test associations between two variables (bivariate statistics). Students will learn about the assumptions underlying each test, and will receive practical instruction on how to generate and interpret bivariate results using Stata.

Bookings

Before a place can be booked for them, all students wishing to book a place on this module must have either:

• Completed the SSRMC Skill Check

OR

• Have successfully completed Foundations in Applied Statistics (FiAS)

Students that have already completed the SSRMC Skill Check may have had a place booked for them by their Department. Students can check this by typing their CRSid into the search box at the very top right of this page, hitting the enter key then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Students for whom this module is not compulsory can make a booking via the Basic Statistics Stream Booking Form on the SSRMC website.

In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.

The course will provide students with an introduction to the popular and powerful statistics package Stata, a program commonly used in both social and natural sciences.

This module introduces students to four of the most commonly used statistical tests in the social sciences: correlation, chi-square tests, t-tests, and analysis of variance (ANOVA). Building upon the univariate techniques introduced in the Foundations in Applied Statistics module, these sessions aim to provide students with a thorough understanding of statistical methods designed to test associations between two variables (bivariate statistics). Students will learn about the assumptions underlying each test, and will receive practical instruction on how to generate and interpret bivariate results using Stata.

Bookings

Before a place can be booked for them, all students wishing to book a place on this module must have either:

• Completed the SSRMC Skill Check

OR

• Have successfully completed Foundations in Applied Statistics (FiAS)

Students that have already completed the SSRMC Skill Check may have had a place booked for them by their Department. Students can check this by typing their CRSid into the search box at the very top right of this page, hitting the enter key then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Students for whom this module is not compulsory can make a booking via the Basic Statistics Stream Booking Form on the SSRMC website.

In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.

This module introduces students to four of the most commonly used statistical tests in the social sciences: correlation, chi-square tests, t-tests, and analysis of variance (ANOVA). Building upon the univariate techniques introduced in the Foundations in Applied Statistics module, these sessions aim to provide students with a thorough understanding of statistical methods designed to test associations between two variables (bivariate statistics). Students will learn about the assumptions underlying each test, and will receive practical instruction on how to generate and interpret bivariate results using Stata.

Bookings

Before a place can be booked for them, all students wishing to book a place on this module must have either:

• Completed the SSRMC Skill Check

OR

• Have successfully completed Foundations in Applied Statistics (FiAS)

Students that have already completed the SSRMC Skill Check may have had a place booked for them by their Department. Students can check this by typing their CRSid into the search box at the very top right of this page, hitting the enter key then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Students for whom this module is not compulsory can make a booking via the Basic Statistics Stream Booking Form on the SSRMC website.

In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.

This module introduces students to four of the most commonly used statistical tests in the social sciences: correlation, chi-square tests, t-tests, and analysis of variance (ANOVA). Building upon the univariate techniques introduced in the Foundations in Applied Statistics module, these sessions aim to provide students with a thorough understanding of statistical methods designed to test associations between two variables (bivariate statistics). Students will learn about the assumptions underlying each test, and will receive practical instruction on how to generate and interpret bivariate results using Stata.

Bookings

Before a place can be booked for them, all students wishing to book a place on this module must have either:

• Completed the SSRMC Skill Check

OR

• Have successfully completed Foundations in Applied Statistics (FiAS)

Students that have already completed the SSRMC Skill Check may have had a place booked for them by their Department. Students can check this by typing their CRSid into the search box at the very top right of this page, hitting the enter key then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Students for whom this module is not compulsory can make a booking via the Basic Statistics Stream Booking Form on the SSRMC website.

In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.

This module introduces students to four of the most commonly used statistical tests in the social sciences: correlation, chi-square tests, t-tests, and analysis of variance (ANOVA). Building upon the univariate techniques introduced in the Foundations in Applied Statistics module, these sessions aim to provide students with a thorough understanding of statistical methods designed to test associations between two variables (bivariate statistics). Students will learn about the assumptions underlying each test, and will receive practical instruction on how to generate and interpret bivariate results using Stata.

Bookings

Before a place can be booked for them, all students wishing to book a place on this module must have either:

• Completed the SSRMC Skill Check

OR

• Have successfully completed Foundations in Applied Statistics (FiAS)

Students that have already completed the SSRMC Skill Check may have had a place booked for them by their Department. Students can check this by typing their CRSid into the search box at the very top right of this page, hitting the enter key then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Students for whom this module is not compulsory can make a booking via the Basic Statistics Stream Booking Form on the SSRMC website.

In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.

This module is part of the Social Science Research Methods Centre training programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research methods skills that are relevant across the social sciences.

This course provides an introduction to some of the methodological issues involved in researching organisations. Drawing on examples of studies carried out in a wide range of different types of organisation, the aim will be to explore practical strategies to overcome some of problems that are typically encountered in undertaking such studies.

This module introduces students to four of the most commonly used statistical tests in the social sciences: correlation, chi-square tests, t-tests, and analysis of variance (ANOVA). Building upon the univariate techniques introduced in the Foundations in Applied Statistics module, these sessions aim to provide students with a thorough understanding of statistical methods designed to test associations between two variables (bivariate statistics). Students will learn about the assumptions underlying each test, and will receive practical instruction on how to generate and interpret bivariate results using Stata.

Bookings

Before a place can be booked for them, all students wishing to book a place on this module must have either:

• Completed the SSRMC Skill Check

OR

• Have successfully completed Foundations in Applied Statistics (FiAS)

Students that have already completed the SSRMC Skill Check may have had a place booked for them by their Department. Students can check this by typing their CRSid into the search box at the very top right of this page, hitting the enter key then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Students for whom this module is not compulsory can make a booking via the Basic Statistics Stream Booking Form on the SSRMC website.

In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.

This module introduces students to four of the most commonly used statistical tests in the social sciences: correlation, chi-square tests, t-tests, and analysis of variance (ANOVA). Building upon the univariate techniques introduced in the Foundations in Applied Statistics module, these sessions aim to provide students with a thorough understanding of statistical methods designed to test associations between two variables (bivariate statistics). Students will learn about the assumptions underlying each test, and will receive practical instruction on how to generate and interpret bivariate results using Stata.

Bookings

Before a place can be booked for them, all students wishing to book a place on this module must have either:

• Completed the SSRMC Skill Check

OR

• Have successfully completed Foundations in Applied Statistics (FiAS)

Students that have already completed the SSRMC Skill Check may have had a place booked for them by their Department. Students can check this by typing their CRSid into the search box at the very top right of this page, hitting the enter key then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Students for whom this module is not compulsory can make a booking via the Basic Statistics Stream Booking Form on the SSRMC website.

In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.

Week 2 - The Janus-Faced nature of Nationalism

This module will start by analyzing the so-called ‘Dark side’ of Nationalism often associated with xenophobia, ethnic cleansing and racism. In contrast, the Democratic side of Nationalism will be connected with the quest for recognition of national and ethnic minorities in the West.

Key questions: What are the major strengths of Nationalism? What do we mean by Nationalism? In which circumstances can we refer to nationalism as an ideology of inclusion and exclusion?

Week 3 - Globalization and National Identity

Identity is a definition, an interpretation of the self that establishes what and where the person is both in social and psychological terms. We will explore the contrast between Individual and Collective forms of identity. Key theories of nationalism will be will be taken and discussed in class into account the relevance of Nationalism in modern History.

Week 4 - The Rise of the Radical Right in Europe

We are witnessing a widening gap between the elites and the unemployed. In this context, feelings of vulnerability, fear of immigrants and resentment towards both the state and society come to the fore. Inequality comes to the fore and, in this context, the Radical Right is able gain support.

Key Questions to be debated in class:

1. How to generate national identity in peace time?
2. Identify some key connections between ‘nationalism and war’
3. In your view, what are the main reasons that explain the rise of the radical right?

This module introduces students to four of the most commonly used statistical tests in the social sciences: correlation, chi-square tests, t-tests, and analysis of variance (ANOVA). Building upon the univariate techniques introduced in the Foundations in Applied Statistics module, these sessions aim to provide students with a thorough understanding of statistical methods designed to test associations between two variables (bivariate statistics). Students will learn about the assumptions underlying each test, and will receive practical instruction on how to generate and interpret bivariate results using Stata.

Bookings

Before a place can be booked for them, all students wishing to book a place on this module must have either:

• Completed the SSRMC Skill Check

OR

• Have successfully completed Foundations in Applied Statistics (FiAS)

Students that have already completed the SSRMC Skill Check may have had a place booked for them by their Department. Students can check this by typing their CRSid into the search box at the very top right of this page, hitting the enter key then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Students for whom this module is not compulsory can make a booking via the Basic Statistics Stream Booking Form on the SSRMC website.

In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.

This module introduces students to four of the most commonly used statistical tests in the social sciences: correlation, chi-square tests, t-tests, and analysis of variance (ANOVA). Building upon the univariate techniques introduced in the Foundations in Applied Statistics module, these sessions aim to provide students with a thorough understanding of statistical methods designed to test associations between two variables (bivariate statistics). Students will learn about the assumptions underlying each test, and will receive practical instruction on how to generate and interpret bivariate results using Stata.

Bookings

Before a place can be booked for them, all students wishing to book a place on this module must have either:

• Completed the SSRMC Skill Check

OR

• Have successfully completed Foundations in Applied Statistics (FiAS)

Students that have already completed the SSRMC Skill Check may have had a place booked for them by their Department. Students can check this by typing their CRSid into the search box at the very top right of this page, hitting the enter key then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Students for whom this module is not compulsory can make a booking via the Basic Statistics Stream Booking Form on the SSRMC website.

In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.

The course will provide students with an introduction to the popular and powerful statistics package Stata, a program commonly used in both social and natural sciences.

This module introduces students to four of the most commonly used statistical tests in the social sciences: correlation, chi-square tests, t-tests, and analysis of variance (ANOVA). Building upon the univariate techniques introduced in the Foundations in Applied Statistics module, these sessions aim to provide students with a thorough understanding of statistical methods designed to test associations between two variables (bivariate statistics). Students will learn about the assumptions underlying each test, and will receive practical instruction on how to generate and interpret bivariate results using Stata.

Bookings

Before a place can be booked for them, all students wishing to book a place on this module must have either:

• Completed the SSRMC Skill Check

OR

• Have successfully completed Foundations in Applied Statistics (FiAS)

Students that have already completed the SSRMC Skill Check may have had a place booked for them by their Department. Students can check this by typing their CRSid into the search box at the very top right of this page, hitting the enter key then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Students for whom this module is not compulsory can make a booking via the Basic Statistics Stream Booking Form on the SSRMC website.

In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.

This module introduces students to four of the most commonly used statistical tests in the social sciences: correlation, chi-square tests, t-tests, and analysis of variance (ANOVA). Building upon the univariate techniques introduced in the Foundations in Applied Statistics module, these sessions aim to provide students with a thorough understanding of statistical methods designed to test associations between two variables (bivariate statistics). Students will learn about the assumptions underlying each test, and will receive practical instruction on how to generate and interpret bivariate results using Stata.

Bookings

Before a place can be booked for them, all students wishing to book a place on this module must have either:

• Completed the SSRMC Skill Check

OR

• Have successfully completed Foundations in Applied Statistics (FiAS)

Students that have already completed the SSRMC Skill Check may have had a place booked for them by their Department. Students can check this by typing their CRSid into the search box at the very top right of this page, hitting the enter key then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Students for whom this module is not compulsory can make a booking via the Basic Statistics Stream Booking Form on the SSRMC website.

In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.

This module introduces students to four of the most commonly used statistical tests in the social sciences: correlation, chi-square tests, t-tests, and analysis of variance (ANOVA). Building upon the univariate techniques introduced in the Foundations in Applied Statistics module, these sessions aim to provide students with a thorough understanding of statistical methods designed to test associations between two variables (bivariate statistics). Students will learn about the assumptions underlying each test, and will receive practical instruction on how to generate and interpret bivariate results using Stata.

Bookings

Before a place can be booked for them, all students wishing to book a place on this module must have either:

• Completed the SSRMC Skill Check

OR

• Have successfully completed Foundations in Applied Statistics (FiAS)

Students that have already completed the SSRMC Skill Check may have had a place booked for them by their Department. Students can check this by typing their CRSid into the search box at the very top right of this page, hitting the enter key then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Students for whom this module is not compulsory can make a booking via the Basic Statistics Stream Booking Form on the SSRMC website.

In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.

This module introduces students to four of the most commonly used statistical tests in the social sciences: correlation, chi-square tests, t-tests, and analysis of variance (ANOVA). Building upon the univariate techniques introduced in the Foundations in Applied Statistics module, these sessions aim to provide students with a thorough understanding of statistical methods designed to test associations between two variables (bivariate statistics). Students will learn about the assumptions underlying each test, and will receive practical instruction on how to generate and interpret bivariate results using Stata.

Bookings

Before a place can be booked for them, all students wishing to book a place on this module must have either:

• Completed the SSRMC Skill Check

OR

• Have successfully completed Foundations in Applied Statistics (FiAS)

Students that have already completed the SSRMC Skill Check may have had a place booked for them by their Department. Students can check this by typing their CRSid into the search box at the very top right of this page, hitting the enter key then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Students for whom this module is not compulsory can make a booking via the Basic Statistics Stream Booking Form on the SSRMC website.

In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.

This module is part of the Social Science Research Methods Centre training programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research methods skills that are relevant across the social sciences.

This course provides an introduction to some of the methodological issues involved in researching organisations. Drawing on examples of studies carried out in a wide range of different types of organisation, the aim will be to explore practical strategies to overcome some of problems that are typically encountered in undertaking such studies.

This module will introduce you to the theory and practice of multivariate analysis, covering Ordinary Least Squares (OLS) and logistic regressions. You will learn how to read published results critically, to do simple multivariate modelling yourself, and to interpret and write about your results intelligently.

Half of the module is based in the lecture theatre, and covers the theory behind multivariate regression; the other half is lab-based, in which students will work through practical exercises using statistical software.

To get the most out of the course, you should also expect to spend some time between sessions having fun by building your own statistical models.

Bookings

Before a place can be booked for them, all students wishing to book a place on this module must have either:

• Completed the SSRMC Skill Check

OR

• Have successfully completed Foundations in Applied Statistics (FiAS) and Basic Quantitative Analysis (BQA) modules

Students that have already completed the SSRMC Skill Check may have had a place booked for them by their Department. Students can check this by typing their CRSid into the search box at the very top right of this page, hitting the enter key then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Students for whom this module is not compulsory can make a booking via the Basic Statistics Stream Booking Form on the SSRMC website.

In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.

These two sessions will provide a basic introduction to database management and analysis, using Microsoft Access and a set of historical datasets. The workshops will introduce participants to the use of Access’s menus and tool bars, viewing and browsing data tables, the creation of quick forms formulating queries, developing queries using Boolean operators, performing simple statistical operations, linking tables and working with linked tables, querying multiple tables, and data transformation.

This module will introduce you to the theory and practice of multivariate analysis, covering Ordinary Least Squares (OLS) and logistic regressions. You will learn how to read published results critically, to do simple multivariate modelling yourself, and to interpret and write about your results intelligently.

Half of the module is based in the lecture theatre, and covers the theory behind multivariate regression; the other half is lab-based, in which students will work through practical exercises using statistical software.

To get the most out of the course, you should also expect to spend some time between sessions having fun by building your own statistical models.

Bookings

Before a place can be booked for them, all students wishing to book a place on this module must have either:

• Completed the SSRMC Skill Check

OR

• Have successfully completed Foundations in Applied Statistics (FiAS) and Basic Quantitative Analysis (BQA) modules

Students that have already completed the SSRMC Skill Check may have had a place booked for them by their Department. Students can check this by typing their CRSid into the search box at the very top right of this page, hitting the enter key then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Students for whom this module is not compulsory can make a booking via the Basic Statistics Stream Booking Form on the SSRMC website.

In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.

This module will introduce you to the theory and practice of multivariate analysis, covering Ordinary Least Squares (OLS) and logistic regressions. You will learn how to read published results critically, to do simple multivariate modelling yourself, and to interpret and write about your results intelligently.

Half of the module is based in the lecture theatre, and covers the theory behind multivariate regression; the other half is lab-based, in which students will work through practical exercises using statistical software.

To get the most out of the course, you should also expect to spend some time between sessions having fun by building your own statistical models.

Bookings

Before a place can be booked for them, all students wishing to book a place on this module must have either:

• Completed the SSRMC Skill Check

OR

• Have successfully completed Foundations in Applied Statistics (FiAS) and Basic Quantitative Analysis (BQA) modules

Students that have already completed the SSRMC Skill Check may have had a place booked for them by their Department. Students can check this by typing their CRSid into the search box at the very top right of this page, hitting the enter key then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Students for whom this module is not compulsory can make a booking via the Basic Statistics Stream Booking Form on the SSRMC website.

In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.

This module will introduce you to the theory and practice of multivariate analysis, covering Ordinary Least Squares (OLS) and logistic regressions. You will learn how to read published results critically, to do simple multivariate modelling yourself, and to interpret and write about your results intelligently.

Half of the module is based in the lecture theatre, and covers the theory behind multivariate regression; the other half is lab-based, in which students will work through practical exercises using statistical software.

To get the most out of the course, you should also expect to spend some time between sessions having fun by building your own statistical models.

Bookings

Before a place can be booked for them, all students wishing to book a place on this module must have either:

• Completed the SSRMC Skill Check

OR

• Have successfully completed Foundations in Applied Statistics (FiAS) and Basic Quantitative Analysis (BQA) modules

Students that have already completed the SSRMC Skill Check may have had a place booked for them by their Department. Students can check this by typing their CRSid into the search box at the very top right of this page, hitting the enter key then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Students for whom this module is not compulsory can make a booking via the Basic Statistics Stream Booking Form on the SSRMC website.

In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.

This module will introduce you to the theory and practice of multivariate analysis, covering Ordinary Least Squares (OLS) and logistic regressions. You will learn how to read published results critically, to do simple multivariate modelling yourself, and to interpret and write about your results intelligently.

Half of the module is based in the lecture theatre, and covers the theory behind multivariate regression; the other half is lab-based, in which students will work through practical exercises using statistical software.

To get the most out of the course, you should also expect to spend some time between sessions having fun by building your own statistical models.

Bookings

Before a place can be booked for them, all students wishing to book a place on this module must have either:

• Completed the SSRMC Skill Check

OR

• Have successfully completed Foundations in Applied Statistics (FiAS) and Basic Quantitative Analysis (BQA) modules

Students that have already completed the SSRMC Skill Check may have had a place booked for them by their Department. Students can check this by typing their CRSid into the search box at the very top right of this page, hitting the enter key then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Students for whom this module is not compulsory can make a booking via the Basic Statistics Stream Booking Form on the SSRMC website.

In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.

These two sessions will provide a basic introduction to database management and analysis, using Microsoft Access and a set of historical datasets. The workshops will introduce participants to the use of Access’s menus and tool bars, viewing and browsing data tables, the creation of quick forms formulating queries, developing queries using Boolean operators, performing simple statistical operations, linking tables and working with linked tables, querying multiple tables, and data transformation.

This module will introduce you to the theory and practice of multivariate analysis, covering Ordinary Least Squares (OLS) and logistic regressions. You will learn how to read published results critically, to do simple multivariate modelling yourself, and to interpret and write about your results intelligently.

Half of the module is based in the lecture theatre, and covers the theory behind multivariate regression; the other half is lab-based, in which students will work through practical exercises using statistical software.

To get the most out of the course, you should also expect to spend some time between sessions having fun by building your own statistical models.

Bookings

Before a place can be booked for them, all students wishing to book a place on this module must have either:

• Completed the SSRMC Skill Check

OR

• Have successfully completed Foundations in Applied Statistics (FiAS) and Basic Quantitative Analysis (BQA) modules

Students that have already completed the SSRMC Skill Check may have had a place booked for them by their Department. Students can check this by typing their CRSid into the search box at the very top right of this page, hitting the enter key then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Students for whom this module is not compulsory can make a booking via the Basic Statistics Stream Booking Form on the SSRMC website.

In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.

This module will introduce you to the theory and practice of multivariate analysis, covering Ordinary Least Squares (OLS) and logistic regressions. You will learn how to read published results critically, to do simple multivariate modelling yourself, and to interpret and write about your results intelligently.

Half of the module is based in the lecture theatre, and covers the theory behind multivariate regression; the other half is lab-based, in which students will work through practical exercises using statistical software.

To get the most out of the course, you should also expect to spend some time between sessions having fun by building your own statistical models.

Bookings

Before a place can be booked for them, all students wishing to book a place on this module must have either:

• Completed the SSRMC Skill Check

OR

• Have successfully completed Foundations in Applied Statistics (FiAS) and Basic Quantitative Analysis (BQA) modules

Students that have already completed the SSRMC Skill Check may have had a place booked for them by their Department. Students can check this by typing their CRSid into the search box at the very top right of this page, hitting the enter key then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Students for whom this module is not compulsory can make a booking via the Basic Statistics Stream Booking Form on the SSRMC website.

In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.

This module will introduce you to the theory and practice of multivariate analysis, covering Ordinary Least Squares (OLS) and logistic regressions. You will learn how to read published results critically, to do simple multivariate modelling yourself, and to interpret and write about your results intelligently.

Half of the module is based in the lecture theatre, and covers the theory behind multivariate regression; the other half is lab-based, in which students will work through practical exercises using statistical software.

To get the most out of the course, you should also expect to spend some time between sessions having fun by building your own statistical models.

Bookings

Before a place can be booked for them, all students wishing to book a place on this module must have either:

• Completed the SSRMC Skill Check

OR

• Have successfully completed Foundations in Applied Statistics (FiAS) and Basic Quantitative Analysis (BQA) modules

Students that have already completed the SSRMC Skill Check may have had a place booked for them by their Department. Students can check this by typing their CRSid into the search box at the very top right of this page, hitting the enter key then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Students for whom this module is not compulsory can make a booking via the Basic Statistics Stream Booking Form on the SSRMC website.

In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.