Social Sciences Research Methods Centre course timetable

This is an Open Access module, so please read the course description carefully before making a booking, and be advised that spaces may be limited.

The course focuses on practical hands-on variable handling and programming implementation 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.)

More information on the course can be found, here: http://www.psychol.cam.ac.uk/grads/grads/pg-prog/programming#section-0

This is an Open Access module, so please read the course description carefully before making a booking, and be advised that spaces may be limited.

The course focuses on practical hands-on variable handling and programming implementation 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.)

More information on the course can be found, here: http://www.psychol.cam.ac.uk/grads/grads/pg-prog/programming#section-0

This is an Open Access module, so please read the course description carefully before making a booking, and be advised that spaces may be limited.

The course focuses on practical hands-on variable handling and programming implementation 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.)

More information on the course can be found, here: http://www.psychol.cam.ac.uk/grads/grads/pg-prog/programming#section-0

This is an Open Access module, so please read the course description carefully before making a booking, and be advised that spaces may be limited.

The course focuses on practical hands-on variable handling and programming implementation 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.)

More information on the course can be found, here: http://www.psychol.cam.ac.uk/grads/grads/pg-prog/programming#section-0

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.

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.

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 some small-group work.

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.

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 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 Stata. Each session consists of a lecture part, and a computer lab part with exercises in Stata.

Bookings

All students wishing to book a place on this module must have completed the SSRMC Skill Check before applying for a place.

Students will receive am email to confirm their place, but they can also check whether their application has been successful by typing their CRSid into the search box at the very top right of this page, hitting the enter key, then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Bookings for this module should be made via:

• The Basic Statistics Stream Booking Form on the SSRMC website.
• In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.

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 Stata. Each session consists of a lecture part, and a computer lab part with exercises in Stata.

Bookings

All students wishing to book a place on this module must have completed the SSRMC Skill Check before applying for a place.

Students will receive am email to confirm their place, but they can also check whether their application has been successful by typing their CRSid into the search box at the very top right of this page, hitting the enter key, then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Bookings for this module should be made via:

• The Basic Statistics Stream Booking Form on the SSRMC website.
• In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.

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.

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 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 Stata. Each session consists of a lecture part, and a computer lab part with exercises in Stata.

Bookings

All students wishing to book a place on this module must have completed the SSRMC Skill Check before applying for a place.

Students will receive am email to confirm their place, but they can also check whether their application has been successful by typing their CRSid into the search box at the very top right of this page, hitting the enter key, then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Bookings for this module should be made via:

• The Basic Statistics Stream Booking Form on the SSRMC website.
• In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.

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 Stata. Each session consists of a lecture part, and a computer lab part with exercises in Stata.

Bookings

All students wishing to book a place on this module must have completed the SSRMC Skill Check before applying for a place.

Students will receive am email to confirm their place, but they can also check whether their application has been successful by typing their CRSid into the search box at the very top right of this page, hitting the enter key, then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Bookings for this module should be made via:

• The Basic Statistics Stream Booking Form on the SSRMC website.
• In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.

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 Stata. Each session consists of a lecture part, and a computer lab part with exercises in Stata.

Bookings

All students wishing to book a place on this module must have completed the SSRMC Skill Check before applying for a place.

Students will receive am email to confirm their place, but they can also check whether their application has been successful by typing their CRSid into the search box at the very top right of this page, hitting the enter key, then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Bookings for this module should be made via:

• The Basic Statistics Stream Booking Form on the SSRMC website.
• In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.

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 Stata. Each session consists of a lecture part, and a computer lab part with exercises in Stata.

Bookings

All students wishing to book a place on this module must have completed the SSRMC Skill Check before applying for a place.

Students will receive am email to confirm their place, but they can also check whether their application has been successful by typing their CRSid into the search box at the very top right of this page, hitting the enter key, then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Bookings for this module should be made via:

• The Basic Statistics Stream Booking Form on the SSRMC website.
• In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.

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 Stata. Each session consists of a lecture part, and a computer lab part with exercises in Stata.

Bookings

All students wishing to book a place on this module must have completed the SSRMC Skill Check before applying for a place.

Students will receive am email to confirm their place, but they can also check whether their application has been successful by typing their CRSid into the search box at the very top right of this page, hitting the enter key, then clicking on their name. This will show all module(s) that they are booked onto, as applicable.

Bookings for this module should be made via:

• The Basic Statistics Stream Booking Form on the SSRMC website.
• In cases where you have a problem or a clash, please contact the SSRMC Administrator who will try to help you.

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.