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|University of Manchester|
Humanities Bridgeford Street, University of Manchester. Oxford Road, Greater Manchester
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Anthony Bacon, 0161 2751980, firstname.lastname@example.org
This course examines the fitting of models to predict a binary response variable from a mixture of binary and interval explanatory variables.
The approach is illustrated using examples from a social science perspective, including cases where logistic regression models are used as a means of analysing tabular data where one of the dimensions of the table is a two-category outcome variable.
You will also learn how to fit a logistic regression model, and how to interpret the results.
The course uses SPSS as the platform for analysis.
At the end of the course participants should be able to:
Participants should have:
The course is designed for users of survey data with some experience of data analysis, who are comfortable using SPSS and who want to expand their understanding of more sophisticated techniques.
Entry (no or almost no prior knowledge)
£195 (£140 for those from educational, government and charitable institutions).
Website and registration
Survey Research, Qualitative longitudinal research (QLR), Instrumental variables, Analysis of existing survey data, Mixed Methods, Qualitative sampling, Survey and Questionnaire Design, Quality in Quantitative Research, Quantitative Data Handling and Data Analysis, Correlation, Levels of measurement, Regression Methods, Linear regression, Logistic regression, SPSS, Logistic regression
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