Social Sciences Research Methods Programme course timetable
Monday 28 October
10:00 
Foundations in Applied Statistics (FiAS2)
Not bookable
This is an introductory course for students who have little or no prior training in statistics. The module is divided between lectures, in which you'll learn the relevant theory, and handson practical sessions, in which you will learn how to analyze real data using the statistical package Stata. You will learn:
For best results, students should expect to do a few hours of private study and spend a little extra time in the computer labs, in addition to coming to class. 
Foundations in Applied Statistics (FiAS1)
Not bookable
This is an introductory course for students who have little or no prior training in statistics. The module is divided between lectures, in which you'll learn the relevant theory, and handson practical sessions, in which you will learn how to analyze real data using the statistical package Stata. You will learn:
For best results, students should expect to do a few hours of private study and spend a little extra time in the computer labs, in addition to coming to class. 

13:00 
Ethics in Data Collection and Use
[Places]
This is an introductory course for students whose research involves collecting, storing or analysing data using networked digital devices. Unless your research data is only collected using pen and paper or tape recorders and is written up on a manual typewriter, this course will be relevant to you. If you are planning to collect data online through either public or private communications, or you intend to share or publish data collected by other means it will be essential. 
14:00 
Diary Methodology
[Places]
This fourpart workshop series provides an introduction to using solicited diaries as a research tool. The main goal of the course is to add diary methodology to students’ research toolboxes. It is a flexible and versatile tool that has been used by researchers in many fields, including public health, nursing, psychology, media studies, education, and sociology. The workshop is suitable for anybody interested in learning more about the method and/or using diaries in their research. The course covers the use of qualitative and quantitative types of diaries, both as a selfstanding tool and as a part of mixedmethod research designs. The lectures and workshops aim to provide theoretical and practical foundations, as well as firsthand experience with solicited diaries as a research tool. The course also provides unique insights into diary data analysis and its challenges. The course is equally driven by lectures and student participation/practicums. The initial workshop (Week 1) provides a solid theoretical introduction to the diary methodology, including the history of the method, qualitative and quantitative variants, modes of delivery, and use of technology. The followup workshops sequentially advance this knowledge base through practical exercises and discussions (Weeks 2 & 4), as well as a specialist lecture (Week 3) on data management, participant communication, ethics and data analysis. 
Foundations in Applied Statistics (FiAS1)
Not bookable
This is an introductory course for students who have little or no prior training in statistics. The module is divided between lectures, in which you'll learn the relevant theory, and handson practical sessions, in which you will learn how to analyze real data using the statistical package Stata. You will learn:
For best results, students should expect to do a few hours of private study and spend a little extra time in the computer labs, in addition to coming to class. 

16:00 
Reading and Understanding Statistics
[Places]
This module is for students who don’t plan to use quantitative methods in their own research, but who need to be able to read and understand published research using quantitative methods. You will learn how to interpret graphs, frequency tables and multivariate regression results, and to ask intelligent questions about sampling, methods and statistical inference. The module is aimed at complete beginners, with no prior knowledge of statistics or quantitative methods. 
Foundations in Applied Statistics (FiAS2)
Not bookable
This is an introductory course for students who have little or no prior training in statistics. The module is divided between lectures, in which you'll learn the relevant theory, and handson practical sessions, in which you will learn how to analyze real data using the statistical package Stata. You will learn:
For best results, students should expect to do a few hours of private study and spend a little extra time in the computer labs, in addition to coming to class. 
Tuesday 29 October
11:00 
With such a large variety of qualitative research methods to choose from, creating a research design can be confusing and difficult without a sufficiently informed overview. This module aims to provide an overview by introducing qualitative data collection and analysis methods commonly used in social science research. The module provides a foundation for other SSRMP qualitative methods modules such as ethnography, discourse analysis, interviews, or diary research. Knowing what is ‘out there’ will help a researcher purposefully select further modules to study on, provide readings to deepen knowledge on specific methods, and will facilitate a more informed research design that contributes to successful empirical research. 
14:00 
Psychometrics
In progress
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. Week 1: Introduction to psychometrics Week 2: Testing in the online environment Week 3: Modern Psychometrics Week 4: Implementing adaptive tests online 
16:00 
Comparative Historical Methods
In progress
These four sessions will introduce students to comparative historical research methods, emphasizing their qualitative dimensions. In the first session, we will analyze some contemporary classics within this genre. In the second and third sessions, we will review and distinguish among a variety of intellectual justifications for this genre as a methodology. In the final session, we will focus on a "state of the art" defence of qualitative and comparativehistorical research, both in theory and practice. 
Wednesday 30 October
10:00 
Foundations in Applied Statistics (FiAS3)
Not bookable
This is an introductory course for students who have little or no prior training in statistics. The module is divided between lectures, in which you'll learn the relevant theory, and handson practical sessions, in which you will learn how to analyze real data using the statistical package Stata. You will learn:
For best results, students should expect to do a few hours of private study and spend a little extra time in the computer labs, in addition to coming to class. 
Foundations in Applied Statistics (FiAS4)
Not bookable
This is an introductory course for students who have little or no prior training in statistics. The module is divided between lectures, in which you'll learn the relevant theory, and handson practical sessions, in which you will learn how to analyze real data using the statistical package Stata. You will learn:
For best results, students should expect to do a few hours of private study and spend a little extra time in the computer labs, in addition to coming to class. 

13:30 
The focus of these two sessions will be the linking of theory to method, paying particular attention to the relationship between language or other forms of representation or communication and the broader social milieu with special attention to power relations. The topic will be approached from a broadly Foucauldian angle: Foucault writes that discourse “consists of not—of no longer—treating discourses as groups of signs signifying elements referring to contents of representations, but as practices that systematically form the objects of which they speak.” The emphasis of these two lectures will be less upon what is known as ‘conversation analysis’ or ‘content analysis’ and more on methods based on postpositivist methods and critical theory which emphasize how language and other social practices create reality rather than reflect it, and thus methods of interpreting discourse are themselves not ideologically or politically neutral practices. Session 1: The origins of critical discourse analysis (the Frankfurt school, Foucault, poststructuralism, feminism); how theoretical backgrounds shape research design 
14:00 
Foundations in Applied Statistics (FiAS3)
Not bookable
This is an introductory course for students who have little or no prior training in statistics. The module is divided between lectures, in which you'll learn the relevant theory, and handson practical sessions, in which you will learn how to analyze real data using the statistical package Stata. You will learn:
For best results, students should expect to do a few hours of private study and spend a little extra time in the computer labs, in addition to coming to class. 
16:00 
Foundations in Applied Statistics (FiAS4)
Not bookable
This is an introductory course for students who have little or no prior training in statistics. The module is divided between lectures, in which you'll learn the relevant theory, and handson practical sessions, in which you will learn how to analyze real data using the statistical package Stata. You will learn:
For best results, students should expect to do a few hours of private study and spend a little extra time in the computer labs, in addition to coming to class. 
Monday 4 November
10:00 
Foundations in Applied Statistics (FiAS2)
Not bookable
This is an introductory course for students who have little or no prior training in statistics. The module is divided between lectures, in which you'll learn the relevant theory, and handson practical sessions, in which you will learn how to analyze real data using the statistical package Stata. You will learn:
For best results, students should expect to do a few hours of private study and spend a little extra time in the computer labs, in addition to coming to class. 
Foundations in Applied Statistics (FiAS1)
Not bookable
This is an introductory course for students who have little or no prior training in statistics. The module is divided between lectures, in which you'll learn the relevant theory, and handson practical sessions, in which you will learn how to analyze real data using the statistical package Stata. You will learn:
For best results, students should expect to do a few hours of private study and spend a little extra time in the computer labs, in addition to coming to class. 

14:00 
Diary Methodology
[Places]
This fourpart workshop series provides an introduction to using solicited diaries as a research tool. The main goal of the course is to add diary methodology to students’ research toolboxes. It is a flexible and versatile tool that has been used by researchers in many fields, including public health, nursing, psychology, media studies, education, and sociology. The workshop is suitable for anybody interested in learning more about the method and/or using diaries in their research. The course covers the use of qualitative and quantitative types of diaries, both as a selfstanding tool and as a part of mixedmethod research designs. The lectures and workshops aim to provide theoretical and practical foundations, as well as firsthand experience with solicited diaries as a research tool. The course also provides unique insights into diary data analysis and its challenges. The course is equally driven by lectures and student participation/practicums. The initial workshop (Week 1) provides a solid theoretical introduction to the diary methodology, including the history of the method, qualitative and quantitative variants, modes of delivery, and use of technology. The followup workshops sequentially advance this knowledge base through practical exercises and discussions (Weeks 2 & 4), as well as a specialist lecture (Week 3) on data management, participant communication, ethics and data analysis. 
Foundations in Applied Statistics (FiAS1)
Not bookable
This is an introductory course for students who have little or no prior training in statistics. The module is divided between lectures, in which you'll learn the relevant theory, and handson practical sessions, in which you will learn how to analyze real data using the statistical package Stata. You will learn:
For best results, students should expect to do a few hours of private study and spend a little extra time in the computer labs, in addition to coming to class. 

16:00 
Reading and Understanding Statistics
[Places]
This module is for students who don’t plan to use quantitative methods in their own research, but who need to be able to read and understand published research using quantitative methods. You will learn how to interpret graphs, frequency tables and multivariate regression results, and to ask intelligent questions about sampling, methods and statistical inference. The module is aimed at complete beginners, with no prior knowledge of statistics or quantitative methods. 
Foundations in Applied Statistics (FiAS2)
Not bookable
This is an introductory course for students who have little or no prior training in statistics. The module is divided between lectures, in which you'll learn the relevant theory, and handson practical sessions, in which you will learn how to analyze real data using the statistical package Stata. You will learn:
For best results, students should expect to do a few hours of private study and spend a little extra time in the computer labs, in addition to coming to class. 
Tuesday 5 November
11:00 
With such a large variety of qualitative research methods to choose from, creating a research design can be confusing and difficult without a sufficiently informed overview. This module aims to provide an overview by introducing qualitative data collection and analysis methods commonly used in social science research. The module provides a foundation for other SSRMP qualitative methods modules such as ethnography, discourse analysis, interviews, or diary research. Knowing what is ‘out there’ will help a researcher purposefully select further modules to study on, provide readings to deepen knowledge on specific methods, and will facilitate a more informed research design that contributes to successful empirical research. 
14:00 
Psychometrics
In progress
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. Week 1: Introduction to psychometrics Week 2: Testing in the online environment Week 3: Modern Psychometrics Week 4: Implementing adaptive tests online 
16:00 
Comparative Historical Methods
In progress
These four sessions will introduce students to comparative historical research methods, emphasizing their qualitative dimensions. In the first session, we will analyze some contemporary classics within this genre. In the second and third sessions, we will review and distinguish among a variety of intellectual justifications for this genre as a methodology. In the final session, we will focus on a "state of the art" defence of qualitative and comparativehistorical research, both in theory and practice. 
Wednesday 6 November
10:00 
Foundations in Applied Statistics (FiAS3)
Not bookable
This is an introductory course for students who have little or no prior training in statistics. The module is divided between lectures, in which you'll learn the relevant theory, and handson practical sessions, in which you will learn how to analyze real data using the statistical package Stata. You will learn:
For best results, students should expect to do a few hours of private study and spend a little extra time in the computer labs, in addition to coming to class. 
Foundations in Applied Statistics (FiAS4)
Not bookable
This is an introductory course for students who have little or no prior training in statistics. The module is divided between lectures, in which you'll learn the relevant theory, and handson practical sessions, in which you will learn how to analyze real data using the statistical package Stata. You will learn:
For best results, students should expect to do a few hours of private study and spend a little extra time in the computer labs, in addition to coming to class. 

13:30 
The focus of these two sessions will be the linking of theory to method, paying particular attention to the relationship between language or other forms of representation or communication and the broader social milieu with special attention to power relations. The topic will be approached from a broadly Foucauldian angle: Foucault writes that discourse “consists of not—of no longer—treating discourses as groups of signs signifying elements referring to contents of representations, but as practices that systematically form the objects of which they speak.” The emphasis of these two lectures will be less upon what is known as ‘conversation analysis’ or ‘content analysis’ and more on methods based on postpositivist methods and critical theory which emphasize how language and other social practices create reality rather than reflect it, and thus methods of interpreting discourse are themselves not ideologically or politically neutral practices. Session 1: The origins of critical discourse analysis (the Frankfurt school, Foucault, poststructuralism, feminism); how theoretical backgrounds shape research design 
14:00 
Foundations in Applied Statistics (FiAS3)
Not bookable
This is an introductory course for students who have little or no prior training in statistics. The module is divided between lectures, in which you'll learn the relevant theory, and handson practical sessions, in which you will learn how to analyze real data using the statistical package Stata. You will learn:
For best results, students should expect to do a few hours of private study and spend a little extra time in the computer labs, in addition to coming to class. 
16:00 
Foundations in Applied Statistics (FiAS4)
Not bookable
This is an introductory course for students who have little or no prior training in statistics. The module is divided between lectures, in which you'll learn the relevant theory, and handson practical sessions, in which you will learn how to analyze real data using the statistical package Stata. You will learn:
For best results, students should expect to do a few hours of private study and spend a little extra time in the computer labs, in addition to coming to class. 