Cambridge Research Methods course timetable

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.

An introduction to the design, validation and implementation of tests and questionnaires in social science research, using both Classical Test Theory (CTT) and modern psychometric methods such as Item Response Theory (IRT). This course aims to enable students to: be able to construct and validate a test or questionnaire; understand the strengths, weaknesses and limitations of existing tests and questionnaires; appreciate the impact and potential of modern psychometric methods in the internet age.

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 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 designed to introduce methods to non-anthropologists. Those with anthropological training should attend more advanced sessions. The module reviews the history of ethnographic research in anthropology and other social sciences. We’ll look at ongoing debates about the nature of ethnographic practice (including writing and reading). What are the practical implications of these for research in different disciplines? How do we pick and/or mix different ethnographic strategies and styles? Participant observation and visual and material methods are the two main sections of this 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.

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.

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.

An introduction to the design, validation and implementation of tests and questionnaires in social science research, using both Classical Test Theory (CTT) and modern psychometric methods such as Item Response Theory (IRT). This course aims to enable students to: be able to construct and validate a test or questionnaire; understand the strengths, weaknesses and limitations of existing tests and questionnaires; appreciate the impact and potential of modern psychometric methods in the internet age.

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.

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.

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.