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The Computing Service now offers an introductory course on Matlab. Various other resources are available as described below.
An introduction to the wide range of resources available at the MML Library and the UL, both in print and online.
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.
The module introduces time series techniques relevant to forecasting in social science research and computer implementation of the methods.
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
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.
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
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
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
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
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
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
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
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:
- Session 1: Variables and Measurement
- Session 2: Describing a Variable
- Session 3: Populations and Samples
- Session 4: Statistical Models and Significance Tests
| Date | Availability | |
|---|---|---|
| Mon 12 Oct 2020 | 14:00 | 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.
The module provides an overview of interviewing as a social research method - guidance on planning interviews, pre-interview and post-interview tasks, positionality and ethics. It also provides an introduction to module structure, based on a specific interview topic. It concentrates on the processes of organising information after interviews, including interpretation through coding and close reading. Case Studies will look at PhD research on perceptions of forest use in Madagascar; in particualar the process of gathering qualitative interviews - planning through transcription to analysis. Looking at issues of gaining access and introducing sensitive research to interviewees, creating a good interview environment; the ethics of researching controversial/illegal topics.
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.
| Date | Availability | |
|---|---|---|
| Mon 9 Nov 2020 | 14:00 | Finished |
This module introduces students to four of the most commonly used statistical tests in the social scinces: Correlations, Chi-square tests, T-tests, and one-way ANOVAs.
Module introduces students to one of the most fundamental statistical techniques, namely regression analysis. Students learn about assumptions underlying regression models, how to run regression analysis using SPSS and how to access and solve possible problems with a regression model.
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.
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.
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.
Introduction to statistical techniques of Exploratory and Confirmation Factor Analyss. EFA is used to uncover the latent structure of a set of variables. CFA examines whether collected date correspond to a model of what the data are meant to measure. AMOS will be introduced as a powerful tool to conduct confirmatory factor analysis.
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 is the Excel Course
An introduction to the wide range of resources available at the Pendlebury Library and the UL's Music Department.