skip to navigation skip to content

Social Sciences Research Methods Programme course timetable

Show:

Wed 27 Oct 2021 – Mon 8 Nov 2021

Now Today



Wednesday 27 October 2021

10:00
Foundations in Applied Statistics (FiAS-3) (1 of 4) Finished 10:00 - 12:30 SSRMP pre-recorded lecture online

This is an introductory course for students who have little or no prior training in statistics.

The module is divided between pre-recorded mini-lectures, in which you'll learn the relevant theory, and hands-on live practical sessions in Zoom, in which you will learn how to analyse real data using the statistical package, Stata.

You will learn:

  • The key features of quantitative analysis, and how it differs from other types of empirical analysis
  • The basics of formal hypothesis testing
  • Basic concepts: what is a variable? what is the distribution of a variable? and how can we best represent a distribution graphically?
  • Features of statistical distributions: measures of central tendency and dispersion
  • The normal distribution
  • Why statistical testing works
  • Statistical methods used to test simple hypotheses
  • How to use Stata
Foundations in Applied Statistics (FiAS-4) (1 of 4) Finished 10:00 - 12:30 SSRMP pre-recorded lecture online

This is an introductory course for students who have little or no prior training in statistics.

The module is divided between pre-recorded mini-lectures, in which you'll learn the relevant theory, and hands-on live practical sessions in Zoom, in which you will learn how to analyse real data using the statistical package, Stata.

You will learn:

  • The key features of quantitative analysis, and how it differs from other types of empirical analysis
  • The basics of formal hypothesis testing
  • Basic concepts: what is a variable? what is the distribution of a variable? and how can we best represent a distribution graphically?
  • Features of statistical distributions: measures of central tendency and dispersion
  • The normal distribution
  • Why statistical testing works
  • Statistical methods used to test simple hypotheses
  • How to use Stata
Critical Approaches to Discourse Analysis (1 of 3) Finished 10:00 - 11:30 SSRMP Zoom

The course offers an introduction to critical approaches to discourse analysis with a focus on linking theory with method. Students will be equipped with the conceptual and practical knowledge to analyse a broad range of issues based on text documents. The topic of the course will be approached from a broadly Foucauldian angle, considering discourse as social practices that create reality rather than merely reflect it. The emphasis of the three lectures will thus be less upon what is known as ‘conversation analysis’ or ‘content analysis’ and more on text and speech as gateways to understand the making of social phenomena and corresponding power relations.

In the first session, we will discuss the theoretical ideas and origins behind discourse analysis. In the second lecture, we will dive into methodological discussions around doing discourse analysis. In the third session, we will apply the method of discourse analysis with support of a qualitative text analysis software.

Session 1: The origins of critical discourse analysis (especially Foucault but also the Frankfurt School, Feminism, etc.); discussion of how theoretical backgrounds shape research designs

Session 2: The methodology of discourse analysis: introduction to different approaches

Session 3: Doing discourse analysis with the assistance of a qualitative text analysis software

14:00
Foundations in Applied Statistics (FiAS-3) (2 of 4) Finished 14:00 - 16:00 SSRMP Zoom

This is an introductory course for students who have little or no prior training in statistics.

The module is divided between pre-recorded mini-lectures, in which you'll learn the relevant theory, and hands-on live practical sessions in Zoom, in which you will learn how to analyse real data using the statistical package, Stata.

You will learn:

  • The key features of quantitative analysis, and how it differs from other types of empirical analysis
  • The basics of formal hypothesis testing
  • Basic concepts: what is a variable? what is the distribution of a variable? and how can we best represent a distribution graphically?
  • Features of statistical distributions: measures of central tendency and dispersion
  • The normal distribution
  • Why statistical testing works
  • Statistical methods used to test simple hypotheses
  • How to use Stata
16:00
Foundations in Applied Statistics (FiAS-4) (2 of 4) Finished 16:00 - 18:00 SSRMP Zoom

This is an introductory course for students who have little or no prior training in statistics.

The module is divided between pre-recorded mini-lectures, in which you'll learn the relevant theory, and hands-on live practical sessions in Zoom, in which you will learn how to analyse real data using the statistical package, Stata.

You will learn:

  • The key features of quantitative analysis, and how it differs from other types of empirical analysis
  • The basics of formal hypothesis testing
  • Basic concepts: what is a variable? what is the distribution of a variable? and how can we best represent a distribution graphically?
  • Features of statistical distributions: measures of central tendency and dispersion
  • The normal distribution
  • Why statistical testing works
  • Statistical methods used to test simple hypotheses
  • How to use Stata

Thursday 28 October 2021

09:00
Historical Sociological Methods new (1 of 4) Finished 09:00 - 10:00 SSRMP Zoom

The aim of this course is to introduce students to comparative historical research methods and encourage them to engage with practical exercises, to distinguish between different approaches in comparative historical research methods in social sciences.

Through the reading and seminars students will learn how to distinguish between different texts, theorists and approaches and learn how to apply these approaches to their own research and writing.

Comparative historical sociology studies major social transformations over periods of time and across different states, societies, and regions.

Monday 1 November 2021

10:00
Foundations in Applied Statistics (FiAS-1) (3 of 4) Finished 10:00 - 12:30 SSRMP pre-recorded lecture online

This is an introductory course for students who have little or no prior training in statistics.

The module is divided between pre-recorded mini-lectures, in which you'll learn the relevant theory, and hands-on live practical sessions in Zoom, in which you will learn how to analyse real data using the statistical package, Stata.

You will learn:

  • The key features of quantitative analysis, and how it differs from other types of empirical analysis
  • The basics of formal hypothesis testing
  • Basic concepts: what is a variable? what is the distribution of a variable? and how can we best represent a distribution graphically?
  • Features of statistical distributions: measures of central tendency and dispersion
  • The normal distribution
  • Why statistical testing works
  • Statistical methods used to test simple hypotheses
  • How to use Stata
Foundations in Applied Statistics (FiAS-2) (3 of 4) Finished 10:00 - 12:30 SSRMP pre-recorded lecture online

This is an introductory course for students who have little or no prior training in statistics.

The module is divided between pre-recorded mini-lectures, in which you'll learn the relevant theory, and hands-on live practical sessions in Zoom, in which you will learn how to analyse real data using the statistical package, Stata.

You will learn:

  • The key features of quantitative analysis, and how it differs from other types of empirical analysis
  • The basics of formal hypothesis testing
  • Basic concepts: what is a variable? what is the distribution of a variable? and how can we best represent a distribution graphically?
  • Features of statistical distributions: measures of central tendency and dispersion
  • The normal distribution
  • Why statistical testing works
  • Statistical methods used to test simple hypotheses
  • How to use Stata
11:30
Reading and Understanding Statistics (2 of 4) Finished 11:30 - 13:30 SSRMP Zoom

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.

14:00
Foundations in Applied Statistics (FiAS-1) (4 of 4) Finished 14:00 - 16:00 SSRMP Zoom

This is an introductory course for students who have little or no prior training in statistics.

The module is divided between pre-recorded mini-lectures, in which you'll learn the relevant theory, and hands-on live practical sessions in Zoom, in which you will learn how to analyse real data using the statistical package, Stata.

You will learn:

  • The key features of quantitative analysis, and how it differs from other types of empirical analysis
  • The basics of formal hypothesis testing
  • Basic concepts: what is a variable? what is the distribution of a variable? and how can we best represent a distribution graphically?
  • Features of statistical distributions: measures of central tendency and dispersion
  • The normal distribution
  • Why statistical testing works
  • Statistical methods used to test simple hypotheses
  • How to use Stata
16:00
Foundations in Applied Statistics (FiAS-2) (4 of 4) Finished 16:00 - 18:00 SSRMP Zoom

This is an introductory course for students who have little or no prior training in statistics.

The module is divided between pre-recorded mini-lectures, in which you'll learn the relevant theory, and hands-on live practical sessions in Zoom, in which you will learn how to analyse real data using the statistical package, Stata.

You will learn:

  • The key features of quantitative analysis, and how it differs from other types of empirical analysis
  • The basics of formal hypothesis testing
  • Basic concepts: what is a variable? what is the distribution of a variable? and how can we best represent a distribution graphically?
  • Features of statistical distributions: measures of central tendency and dispersion
  • The normal distribution
  • Why statistical testing works
  • Statistical methods used to test simple hypotheses
  • How to use Stata

Tuesday 2 November 2021

17:30
Open Source Investigation for Academics new (3 of 8) Finished 17:30 - 18:30 SSRMP Zoom

Open Source Investigation for Academics is methodology course run by Cambridge’s Digital Verification Corps, in partnership with Cambridge’s Centre of Governance and Human Rights, Social Sciences Research Methods Programme and Cambridge Digital Humanities, as well as with the Citizen Evidence Lab at Amnesty International.

NB. Places on this module are extremely limited, so please only make a booking if you are able to attend all of the sessions.

Wednesday 3 November 2021

10:00
Foundations in Applied Statistics (FiAS-3) (3 of 4) Finished 10:00 - 12:30 SSRMP pre-recorded lecture online

This is an introductory course for students who have little or no prior training in statistics.

The module is divided between pre-recorded mini-lectures, in which you'll learn the relevant theory, and hands-on live practical sessions in Zoom, in which you will learn how to analyse real data using the statistical package, Stata.

You will learn:

  • The key features of quantitative analysis, and how it differs from other types of empirical analysis
  • The basics of formal hypothesis testing
  • Basic concepts: what is a variable? what is the distribution of a variable? and how can we best represent a distribution graphically?
  • Features of statistical distributions: measures of central tendency and dispersion
  • The normal distribution
  • Why statistical testing works
  • Statistical methods used to test simple hypotheses
  • How to use Stata
Foundations in Applied Statistics (FiAS-4) (3 of 4) Finished 10:00 - 12:30 SSRMP pre-recorded lecture online

This is an introductory course for students who have little or no prior training in statistics.

The module is divided between pre-recorded mini-lectures, in which you'll learn the relevant theory, and hands-on live practical sessions in Zoom, in which you will learn how to analyse real data using the statistical package, Stata.

You will learn:

  • The key features of quantitative analysis, and how it differs from other types of empirical analysis
  • The basics of formal hypothesis testing
  • Basic concepts: what is a variable? what is the distribution of a variable? and how can we best represent a distribution graphically?
  • Features of statistical distributions: measures of central tendency and dispersion
  • The normal distribution
  • Why statistical testing works
  • Statistical methods used to test simple hypotheses
  • How to use Stata
Critical Approaches to Discourse Analysis (2 of 3) Finished 10:00 - 11:30 SSRMP Zoom

The course offers an introduction to critical approaches to discourse analysis with a focus on linking theory with method. Students will be equipped with the conceptual and practical knowledge to analyse a broad range of issues based on text documents. The topic of the course will be approached from a broadly Foucauldian angle, considering discourse as social practices that create reality rather than merely reflect it. The emphasis of the three lectures will thus be less upon what is known as ‘conversation analysis’ or ‘content analysis’ and more on text and speech as gateways to understand the making of social phenomena and corresponding power relations.

In the first session, we will discuss the theoretical ideas and origins behind discourse analysis. In the second lecture, we will dive into methodological discussions around doing discourse analysis. In the third session, we will apply the method of discourse analysis with support of a qualitative text analysis software.

Session 1: The origins of critical discourse analysis (especially Foucault but also the Frankfurt School, Feminism, etc.); discussion of how theoretical backgrounds shape research designs

Session 2: The methodology of discourse analysis: introduction to different approaches

Session 3: Doing discourse analysis with the assistance of a qualitative text analysis software

14:00
Foundations in Applied Statistics (FiAS-3) (4 of 4) Finished 14:00 - 16:00 SSRMP Zoom

This is an introductory course for students who have little or no prior training in statistics.

The module is divided between pre-recorded mini-lectures, in which you'll learn the relevant theory, and hands-on live practical sessions in Zoom, in which you will learn how to analyse real data using the statistical package, Stata.

You will learn:

  • The key features of quantitative analysis, and how it differs from other types of empirical analysis
  • The basics of formal hypothesis testing
  • Basic concepts: what is a variable? what is the distribution of a variable? and how can we best represent a distribution graphically?
  • Features of statistical distributions: measures of central tendency and dispersion
  • The normal distribution
  • Why statistical testing works
  • Statistical methods used to test simple hypotheses
  • How to use Stata
16:00
Foundations in Applied Statistics (FiAS-4) (4 of 4) Finished 16:00 - 18:00 SSRMP Zoom

This is an introductory course for students who have little or no prior training in statistics.

The module is divided between pre-recorded mini-lectures, in which you'll learn the relevant theory, and hands-on live practical sessions in Zoom, in which you will learn how to analyse real data using the statistical package, Stata.

You will learn:

  • The key features of quantitative analysis, and how it differs from other types of empirical analysis
  • The basics of formal hypothesis testing
  • Basic concepts: what is a variable? what is the distribution of a variable? and how can we best represent a distribution graphically?
  • Features of statistical distributions: measures of central tendency and dispersion
  • The normal distribution
  • Why statistical testing works
  • Statistical methods used to test simple hypotheses
  • How to use Stata

Thursday 4 November 2021

09:00
Historical Sociological Methods new (2 of 4) Finished 09:00 - 10:00 SSRMP Zoom

The aim of this course is to introduce students to comparative historical research methods and encourage them to engage with practical exercises, to distinguish between different approaches in comparative historical research methods in social sciences.

Through the reading and seminars students will learn how to distinguish between different texts, theorists and approaches and learn how to apply these approaches to their own research and writing.

Comparative historical sociology studies major social transformations over periods of time and across different states, societies, and regions.

16:00
Geographical Information Systems (GIS) Workshop (1 of 4) Finished 16:00 - 17:00 SSRMP Zoom

This workshop series aims to provide introductory training on Geographical Information Systems. Material covered includes the construction of geodatabases from a range of data sources, geovisualisation and mapping from geodatasets, raster-based modeling and presentation of maps and charts and other geodata outputs. Each session will start with an introductory lecture followed by practical exercises using GIS software.

Monday 8 November 2021

10:00
Basic Quantitative Analysis (BQA-1) (1 of 4) Finished 10:00 - 12:30 SSRMP pre-recorded lecture online

Building upon the univariate techniques introduced in the Foundations in Applied Statistics (FiAS) 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. It 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).

The module is divided between pre-recorded mini-lectures, in which you'll learn the relevant theory, and hands-on live practical sessions in Zoom, in which you will learn how to apply these techniques to analyse real data using the statistical package, Stata.

You will learn the following techniques:

  • Cross-tabulations
  • Scatterplots
  • Covariance and correlation
  • Nonparametric methods
  • Two-sample t-tests
  • ANOVA

As well as viewing the pre-recorded mini lectures via Moodle and attending the live lab sessions, students are expected to do a few hours of independent study each week.

Basic Quantitative Analysis (BQA-2) (1 of 4) Finished 10:00 - 12:30 SSRMP pre-recorded lecture online

Building upon the univariate techniques introduced in the Foundations in Applied Statistics (FiAS) 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. It 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).

The module is divided between pre-recorded mini-lectures, in which you'll learn the relevant theory, and hands-on live practical sessions in Zoom, in which you will learn how to apply these techniques to analyse real data using the statistical package, Stata.

You will learn the following techniques:

  • Cross-tabulations
  • Scatterplots
  • Covariance and correlation
  • Nonparametric methods
  • Two-sample t-tests
  • ANOVA

As well as viewing the pre-recorded mini lectures via Moodle and attending the live lab sessions, students are expected to do a few hours of independent study each week.

11:30
Reading and Understanding Statistics (3 of 4) Finished 11:30 - 13:30 SSRMP Zoom

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.

14:00
Basic Quantitative Analysis (BQA-1) (2 of 4) Finished 14:00 - 16:00 SSRMP Zoom

Building upon the univariate techniques introduced in the Foundations in Applied Statistics (FiAS) 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. It 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).

The module is divided between pre-recorded mini-lectures, in which you'll learn the relevant theory, and hands-on live practical sessions in Zoom, in which you will learn how to apply these techniques to analyse real data using the statistical package, Stata.

You will learn the following techniques:

  • Cross-tabulations
  • Scatterplots
  • Covariance and correlation
  • Nonparametric methods
  • Two-sample t-tests
  • ANOVA

As well as viewing the pre-recorded mini lectures via Moodle and attending the live lab sessions, students are expected to do a few hours of independent study each week.

16:00
Researching Organisations (1 of 3) Finished 16:00 - 18:00 Taught Online

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 the problems that are typically encountered in undertaking such studies.

Basic Quantitative Analysis (BQA-2) (2 of 4) Finished 16:00 - 18:00 SSRMP Zoom

Building upon the univariate techniques introduced in the Foundations in Applied Statistics (FiAS) 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. It 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).

The module is divided between pre-recorded mini-lectures, in which you'll learn the relevant theory, and hands-on live practical sessions in Zoom, in which you will learn how to apply these techniques to analyse real data using the statistical package, Stata.

You will learn the following techniques:

  • Cross-tabulations
  • Scatterplots
  • Covariance and correlation
  • Nonparametric methods
  • Two-sample t-tests
  • ANOVA

As well as viewing the pre-recorded mini lectures via Moodle and attending the live lab sessions, students are expected to do a few hours of independent study each week.