SSRMC Training Programme 2015-16
(Mon 12 Oct 2015 - Fri 17 Jun 2016)
Monday 12 October 2015
14:00 |
Comparative Historical Methods
Finished
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. 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. |
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 foundational course is for graduate students who have no prior training in statistics. Topics covered include: the notion of variables and how they are measured; ways of describing the central tendency and the dispersion of a variable; and the principles of hypothesis testing and statistical significance. The course also introduces students to the software R. Each session consists of a lecture part, and a computer lab part with exercises in R. |
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16:00 |
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 foundational course is for graduate students who have no prior training in statistics. Topics covered include: the notion of variables and how they are measured; ways of describing the central tendency and the dispersion of a variable; and the principles of hypothesis testing and statistical significance. The course also introduces students to the software R. Each session consists of a lecture part, and a computer lab part with exercises in R. |
Tuesday 13 October 2015
14:00 |
Survey Research and Design
Finished
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. The module aims to provide students with an introduction to and overview of survey methods and its uses and limitations. It will introduce students both to some of the main theoretical issues involved in survey research (such as survey sampling, non-response and question wording) and to practicalities of the design and analysis of surveys. Students who attend this course will be able to design their own evaluate research that uses surveys, in particular to understand issues concerning sample selection, response bias and data analysis; to appreciate and use basic principles of questionnaire design; and to trace appropriate sources of data and appropriate exemplars of good survey practice. |
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 foundational course is for graduate students who have no prior training in statistics. Topics covered include: the notion of variables and how they are measured; ways of describing the central tendency and the dispersion of a variable; and the principles of hypothesis testing and statistical significance. The course also introduces students to the software R. Each session consists of a lecture part, and a computer lab part with exercises in R. |
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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 workshop introduces students to one of the most frequently used statistics packages for social sciences, R. Students will learn how to download and install R, enter simple data into R, how to load data sets from other statistical packages into R, how to use the R environment for simple calculations, elementary graphs and tables. The module will introduce the use of code for performing these operations. This module is intended primarily for students who have not previously used R and who also do not have much previous experience with statistics. This is not a statistical methods course. |
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16:00 |
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. Introducing students to the general philosophical debates concerning scientific methodology; assessing their ramifications for the conduct of qualitative social research. 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. |
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 workshop introduces students to one of the most frequently used statistics packages for social sciences, R. Students will learn how to download and install R, enter simple data into R, how to load data sets from other statistical packages into R, how to use the R environment for simple calculations, elementary graphs and tables. The module will introduce the use of code for performing these operations. This module is intended primarily for students who have not previously used R and who also do not have much previous experience with statistics. This is not a statistical methods course. |
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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 foundational course is for graduate students who have no prior training in statistics. Topics covered include: the notion of variables and how they are measured; ways of describing the central tendency and the dispersion of a variable; and the principles of hypothesis testing and statistical significance. The course also introduces students to the software R. Each session consists of a lecture part, and a computer lab part with exercises in R. |
Monday 19 October 2015
14:00 |
Comparative Historical Methods
Finished
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. 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. |
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 foundational course is for graduate students who have no prior training in statistics. Topics covered include: the notion of variables and how they are measured; ways of describing the central tendency and the dispersion of a variable; and the principles of hypothesis testing and statistical significance. The course also introduces students to the software R. Each session consists of a lecture part, and a computer lab part with exercises in R. |
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16:00 |
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 foundational course is for graduate students who have no prior training in statistics. Topics covered include: the notion of variables and how they are measured; ways of describing the central tendency and the dispersion of a variable; and the principles of hypothesis testing and statistical significance. The course also introduces students to the software R. Each session consists of a lecture part, and a computer lab part with exercises in R. |
Tuesday 20 October 2015
14:00 |
Survey Research and Design
Finished
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. The module aims to provide students with an introduction to and overview of survey methods and its uses and limitations. It will introduce students both to some of the main theoretical issues involved in survey research (such as survey sampling, non-response and question wording) and to practicalities of the design and analysis of surveys. Students who attend this course will be able to design their own evaluate research that uses surveys, in particular to understand issues concerning sample selection, response bias and data analysis; to appreciate and use basic principles of questionnaire design; and to trace appropriate sources of data and appropriate exemplars of good survey practice. |
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 workshop introduces students to one of the most frequently used statistics packages for social sciences, R. Students will learn how to download and install R, enter simple data into R, how to load data sets from other statistical packages into R, how to use the R environment for simple calculations, elementary graphs and tables. The module will introduce the use of code for performing these operations. This module is intended primarily for students who have not previously used R and who also do not have much previous experience with statistics. This is not a statistical methods course. |
|
16:00 |
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. Introducing students to the general philosophical debates concerning scientific methodology; assessing their ramifications for the conduct of qualitative social research. 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. |
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 workshop introduces students to one of the most frequently used statistics packages for social sciences, R. Students will learn how to download and install R, enter simple data into R, how to load data sets from other statistical packages into R, how to use the R environment for simple calculations, elementary graphs and tables. The module will introduce the use of code for performing these operations. This module is intended primarily for students who have not previously used R and who also do not have much previous experience with statistics. This is not a statistical methods course. |
Monday 26 October 2015
14:00 |
Comparative Historical Methods
Finished
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. 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. |
16:00 |
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 foundational course is for graduate students who have no prior training in statistics. Topics covered include: the notion of variables and how they are measured; ways of describing the central tendency and the dispersion of a variable; and the principles of hypothesis testing and statistical significance. The course also introduces students to the software R. Each session consists of a lecture part, and a computer lab part with exercises in R. |
Tuesday 27 October 2015
14:00 |
Survey Research and Design
Finished
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. The module aims to provide students with an introduction to and overview of survey methods and its uses and limitations. It will introduce students both to some of the main theoretical issues involved in survey research (such as survey sampling, non-response and question wording) and to practicalities of the design and analysis of surveys. Students who attend this course will be able to design their own evaluate research that uses surveys, in particular to understand issues concerning sample selection, response bias and data analysis; to appreciate and use basic principles of questionnaire design; and to trace appropriate sources of data and appropriate exemplars of good survey practice. |
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 foundational course is for graduate students who have no prior training in statistics. Topics covered include: the notion of variables and how they are measured; ways of describing the central tendency and the dispersion of a variable; and the principles of hypothesis testing and statistical significance. The course also introduces students to the software R. Each session consists of a lecture part, and a computer lab part with exercises in R. |
|
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 workshop introduces students to one of the most frequently used statistics packages for social sciences, R. Students will learn how to download and install R, enter simple data into R, how to load data sets from other statistical packages into R, how to use the R environment for simple calculations, elementary graphs and tables. The module will introduce the use of code for performing these operations. This module is intended primarily for students who have not previously used R and who also do not have much previous experience with statistics. This is not a statistical methods course. |
|
16:00 |
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 workshop introduces students to one of the most frequently used statistics packages for social sciences, R. Students will learn how to download and install R, enter simple data into R, how to load data sets from other statistical packages into R, how to use the R environment for simple calculations, elementary graphs and tables. The module will introduce the use of code for performing these operations. This module is intended primarily for students who have not previously used R and who also do not have much previous experience with statistics. This is not a statistical methods course. |
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 foundational course is for graduate students who have no prior training in statistics. Topics covered include: the notion of variables and how they are measured; ways of describing the central tendency and the dispersion of a variable; and the principles of hypothesis testing and statistical significance. The course also introduces students to the software R. Each session consists of a lecture part, and a computer lab part with exercises in R. |
Monday 2 November 2015
14:00 |
Comparative Historical Methods
Finished
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. 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. |
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 foundational course is for graduate students who have no prior training in statistics. Topics covered include: the notion of variables and how they are measured; ways of describing the central tendency and the dispersion of a variable; and the principles of hypothesis testing and statistical significance. The course also introduces students to the software R. Each session consists of a lecture part, and a computer lab part with exercises in R. |