Jsss Programme 2011-12
(Thu 6 Oct 2011 - Wed 14 Mar 2012)
[ Back to start of the programme ]
Thursday 20 October 2011
| 14:00 |
This module is part of the Social Science Research Methods Course programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research |
Tuesday 25 October 2011
| 14:00 |
Module 6: Spatial Data Analysis
Finished
Introducing students to methods of data analysis that are relevant to spatial data. Discussing nature of Geographic Information Science (GISc), describing how space is conceptualised and represented in a GIS. |
| 16:00 |
This module is part of the Social Science Research Methods Course 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 eligible graduate students who have no prior training in statistics. It introduces students to the basic general concepts that underlie descriptive and inferential statistics. It is divided into 4 sessions:
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Wednesday 26 October 2011
| 14:00 |
This module is part of the Social Science Research Methods Course 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 eligible graduate students who have no prior training in statistics. It introduces students to the basic general concepts that underlie descriptive and inferential statistics. It is divided into 4 sessions:
|
|
This module is part of the Social Science Research Methods Course 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 eligible graduate students who have no prior training in statistics. It introduces students to the basic general concepts that underlie descriptive and inferential statistics. It is divided into 4 sessions:
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| 16:00 |
Module 5: Further Regression Topics
Finished
This module is concerned with greater knowledge of regression, through extension of the simple linear model; enabling students to assess the models they use, testing for problems such as collinearity, outliers/leverage, and heteroskdasticity. |
Thursday 27 October 2011
| 14:00 |
This module is part of the Social Science Research Methods Course programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research |
Tuesday 1 November 2011
| 14:00 |
Module 6: Spatial Data Analysis
Finished
Introducing students to methods of data analysis that are relevant to spatial data. Discussing nature of Geographic Information Science (GISc), describing how space is conceptualised and represented in a GIS. |
| 16:00 |
This module is part of the Social Science Research Methods Course 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 eligible graduate students who have no prior training in statistics. It introduces students to the basic general concepts that underlie descriptive and inferential statistics. It is divided into 4 sessions:
|
Wednesday 2 November 2011
| 14:00 |
This module is part of the Social Science Research Methods Course 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 eligible graduate students who have no prior training in statistics. It introduces students to the basic general concepts that underlie descriptive and inferential statistics. It is divided into 4 sessions:
|
|
This module is part of the Social Science Research Methods Course 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 eligible graduate students who have no prior training in statistics. It introduces students to the basic general concepts that underlie descriptive and inferential statistics. It is divided into 4 sessions:
|
|
| 16:00 |
Module 5: Further Regression Topics
Finished
This module is concerned with greater knowledge of regression, through extension of the simple linear model; enabling students to assess the models they use, testing for problems such as collinearity, outliers/leverage, and heteroskdasticity. |
Thursday 3 November 2011
| 10:00 |
Module 18: Researching Organisations
Finished
This module is part of the Social Science Research Methods Course programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research |
| 14:00 |
This module is part of the Social Science Research Methods Course programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research |
Tuesday 8 November 2011
| 14:00 |
Module 6: Spatial Data Analysis
Finished
Introducing students to methods of data analysis that are relevant to spatial data. Discussing nature of Geographic Information Science (GISc), describing how space is conceptualised and represented in a GIS. |
| 16:00 |
This module is part of the Social Science Research Methods Course 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 module is essential for the statistical methods modules, which follow. |
Wednesday 9 November 2011
| 14:00 |
This module is part of the Social Science Research Methods Course 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 module is essential for the statistical methods modules, which follow. |
|
This module is part of the Social Science Research Methods Course 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 module is essential for the statistical methods modules. |
|
|
This module is part of the Social Science Research Methods Course 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 module is essential for the statistical methods modules, which follow. |
|
|
Module 12: Designing Surveys
Finished
This module is part of the Social Science Research Methods Course 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 module aims to provide students with an overview of survey methods, uses and limitations; to introduce students to the practicalities of design and use of surveys; to examine complexities of question and answer process; to examine practicalities of survey sampling and response. |
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| 16:00 |
Module is designed to teach students how to analyse different types of data using SPSS; including outputs, conducting diagnostic tests, calculating effect sizes and make predictions. |
Thursday 10 November 2011
| 10:00 |
Module 18: Researching Organisations
Finished
This module is part of the Social Science Research Methods Course programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research |
| 14:00 |
This module is part of the Social Science Research Methods Course programme which is a shared platform for providing research students with a broad range of quantitative and qualitative research |
Tuesday 15 November 2011
| 14:00 |
Module 6: Spatial Data Analysis
Finished
Introducing students to methods of data analysis that are relevant to spatial data. Discussing nature of Geographic Information Science (GISc), describing how space is conceptualised and represented in a GIS. |
| 16:00 |
This module is part of the Social Science Research Methods Course 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 module is essential for the statistical methods modules, which follow. |