Social Sciences Research Methods Programme course timetable
Wednesday 25 October 2017
10:00 |
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 hands-on 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. |
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 hands-on 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 |
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 hands-on 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
Finished
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 |
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 hands-on 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 2017
10:00 |
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 hands-on 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. |
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 hands-on 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 |
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 hands-on 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 |
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 hands-on 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
Finished
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 31 October 2017
16:00 |
Comparative Historical Methods
Finished
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 comparative-historical research, both in theory and practice. Aims:
Topics:
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Wednesday 1 November 2017
10:00 |
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 hands-on 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. |
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 hands-on 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 |
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 hands-on 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
Finished
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 |
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 hands-on 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 6 November 2017
09:00 |
Researching Organisations
Finished
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. Topics covered include:
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10:00 |
Basic Quantitative Analysis (BQA-2)
Finished
This module follows on from Foundations in Applied statistics, and will teach you the basics of common bivariate techniques (that is, techniques that examine the associations between two variables). The module is divided between lectures, in which you'll learn the relevant theory, and hands-on practical sessions, in which you will learn how to apply these techniques to the analysis of real data. Techniques to be covered include:
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. |
Basic Quantitative Analysis (BQA-1)
Finished
This module follows on from Foundations in Applied statistics, and will teach you the basics of common bivariate techniques (that is, techniques that examine the associations between two variables). The module is divided between lectures, in which you'll learn the relevant theory, and hands-on practical sessions, in which you will learn how to apply these techniques to the analysis of real data. Techniques to be covered include:
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 |
Basic Quantitative Analysis (BQA-1)
Finished
This module follows on from Foundations in Applied statistics, and will teach you the basics of common bivariate techniques (that is, techniques that examine the associations between two variables). The module is divided between lectures, in which you'll learn the relevant theory, and hands-on practical sessions, in which you will learn how to apply these techniques to the analysis of real data. Techniques to be covered include:
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
Finished
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. |
Basic Quantitative Analysis (BQA-2)
Finished
This module follows on from Foundations in Applied statistics, and will teach you the basics of common bivariate techniques (that is, techniques that examine the associations between two variables). The module is divided between lectures, in which you'll learn the relevant theory, and hands-on practical sessions, in which you will learn how to apply these techniques to the analysis of real data. Techniques to be covered include:
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 7 November 2017
14:00 |
Introduction to Stata (Michaelmas)
Finished
The course will provide students with an introduction to the popular and powerful statistics package Stata. Stata is commonly used by analysts in both the social and natural sciences, and is the statistics package used most widely by the SSRMC. You will learn:
The course is intended for students who already have a working knowledge of statistics - it's designed primarily as a "second language" course for students who are already familiar with another package, perhaps R or SPSS. Students who don't already have a working knowledge of applied statistics should look at courses in our Basic Statistics Stream. |
Wednesday 8 November 2017
10:00 |
Basic Quantitative Analysis (BQA-3)
Finished
This module follows on from Foundations in Applied statistics, and will teach you the basics of common bivariate techniques (that is, techniques that examine the associations between two variables). The module is divided between lectures, in which you'll learn the relevant theory, and hands-on practical sessions, in which you will learn how to apply these techniques to the analysis of real data. Techniques to be covered include:
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. |
Basic Quantitative Analysis (BQA-4)
Finished
This module follows on from Foundations in Applied statistics, and will teach you the basics of common bivariate techniques (that is, techniques that examine the associations between two variables). The module is divided between lectures, in which you'll learn the relevant theory, and hands-on practical sessions, in which you will learn how to apply these techniques to the analysis of real data. Techniques to be covered include:
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 |
Basic Quantitative Analysis (BQA-3)
Finished
This module follows on from Foundations in Applied statistics, and will teach you the basics of common bivariate techniques (that is, techniques that examine the associations between two variables). The module is divided between lectures, in which you'll learn the relevant theory, and hands-on practical sessions, in which you will learn how to apply these techniques to the analysis of real data. Techniques to be covered include:
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
Finished
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 |
Basic Quantitative Analysis (BQA-4)
Finished
This module follows on from Foundations in Applied statistics, and will teach you the basics of common bivariate techniques (that is, techniques that examine the associations between two variables). The module is divided between lectures, in which you'll learn the relevant theory, and hands-on practical sessions, in which you will learn how to apply these techniques to the analysis of real data. Techniques to be covered include:
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. |