Social Sciences Research Methods Centre course timetable
Wednesday 4 October
16:00 
SSRMC Student Induction Lecture
Finished
This event details how the SSRMC works, more about the modules we offer, and everything you need to know about making a booking. NB. ALL STUDENTS WISHING TO TAKE SSRMC COURSES THIS YEAR ARE EXPECTED TO ATTEND THIS INDUCTION SESSION 
Monday 9 October
10:00 
This module is shared with Psychology. Students from the Department of Psychology MUST book places on this course via the Department; any bookings made by Psychology students via the SSRMC portal will be cancelled. The course focuses on practical handson variable handling and programming implementation using 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.) MATLAB (C) is a powerful scientific programming environment optimal for data analysis and engineering solutions. More information on the programme and its uses can be found here: https://www.mathworks.com/products/matlab.html More information on the course can be found, here: http://www.psychol.cam.ac.uk/grads/grads/pgprog/programming#section0 
14:00 
This module is shared with Psychology. Students from the Department of Psychology MUST book places on this course via the Department; any bookings made by Psychology students via the SSRMC portal will be cancelled. The course focuses on practical handson variable handling and programming implementation using 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.) MATLAB (C) is a powerful scientific programming environment optimal for data analysis and engineering solutions. More information on the programme and its uses can be found here: https://www.mathworks.com/products/matlab.html More information on the course can be found, here: http://www.psychol.cam.ac.uk/grads/grads/pgprog/programming#section0 
Tuesday 10 October
10:00 
This module is shared with Psychology. Students from the Department of Psychology MUST book places on this course via the Department; any bookings made by Psychology students via the SSRMC portal will be cancelled. The course focuses on practical handson variable handling and programming implementation using 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.) MATLAB (C) is a powerful scientific programming environment optimal for data analysis and engineering solutions. More information on the programme and its uses can be found here: https://www.mathworks.com/products/matlab.html More information on the course can be found, here: http://www.psychol.cam.ac.uk/grads/grads/pgprog/programming#section0 
14:00 
This module is shared with Psychology. Students from the Department of Psychology MUST book places on this course via the Department; any bookings made by Psychology students via the SSRMC portal will be cancelled. The course focuses on practical handson variable handling and programming implementation using 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.) MATLAB (C) is a powerful scientific programming environment optimal for data analysis and engineering solutions. More information on the programme and its uses can be found here: https://www.mathworks.com/products/matlab.html More information on the course can be found, here: http://www.psychol.cam.ac.uk/grads/grads/pgprog/programming#section0 
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. Aims:
Topics:

Wednesday 11 October
16:00 
This course will introduce students to the general philosophical debates concerning scientific methodology, assessing their ramifications for the conduct of qualitative social research. It will enable students 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. Topics:

Monday 16 October
12:30 
Research Ethics (Michaelmas)
Finished
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 a lecture component and some smallgroup work. Aims: Topics:

Tuesday 17 October
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. Aims:
Topics:

Wednesday 18 October
16:00 
This course will introduce students to the general philosophical debates concerning scientific methodology, assessing their ramifications for the conduct of qualitative social research. It will enable students 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. Topics:

Monday 23 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. 

14:00 
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 
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. 
Reading and Understanding Statistics
In progress
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. 
Tuesday 24 October
14:00 
Mixed Methods
[Places]
Neither quantitative nor qualitative data analysis has all the answers in social science research: qualitative research has depth and nuance but is not generalisable beyond the sample on which it is based, while quantitative research is generalisable but may lack depth. A mixed methods approach, which uses evidence from both qualitative and quantitative approaches to shed light on a single research question, has the potential to gain the advantages of both approaches. However, genuine mixed methods work is not always easy. This short course will introduce students to the rationale behind the use of mixed methods approaches, and how to design mixed methods projects for best results. 
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. Aims:
Topics:

Wednesday 25 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. 

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 
Psychometrics
[Places]
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: Test development using Automatic Item Generation 
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 30 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. 

14:00 
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 
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. 
Reading and Understanding Statistics
In progress
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. 