Design and Measurement 3
Unit code: HMA279
|Credit points||12.5 Credit Points|
|Contact hours||4 Hours per Week|
|Prerequisites||HMA278 Design and Measurement 2|
Aims and objectives
The aims are to provide the theoretical background and practical skills which will enable students to:
- Critically assess statistics presented in journal articles.
- Choose appropriate analyses to perform on your own data.
- Understand the assumptions and limitations involved in the analyses.
- Screen data and, if necessary, transform variables before analysis.
- Perform data analyses using SPSS for Windows.
- Write an informative report on the data analysis.
The unit of study content has been divided into modules, and then further divided into topics.
Module 1: Data Modification and Selection and Data Screening
- Selecting samples of data in SPSS.
- Recoding Variables and creating new variables.
- Identifying outliers and out of range values.
- Removing or replacing outliers and out-of-range values.
Module 2: Investigating the Relationship between Two Metric Variables
- Describing the relationship using graphs and summary statistics.
- Significance testing and power analysis.
- The theory behind simple linear regression.
- Testing the assumptions underlying simple linear regression.
- Using dichotomous variables in regression.
Module 3: Multiple Regression
- Multiple regression using SPSS for Windows.
- Understanding partial and part correlation coefficients.
- Selecting and using different regression strategies.
- Presentation of results.
- Testing the assumptions in multiple regression.
- Testing for interactions in multiple regression.
Module 4: Multivariate Analysis of Variance
- Single factor, independent groups design MANOVA.
- Single factor within subjects design MANOVA.
- Testing assumptions and other practical issues.
Module 5: Factor Analysis
- The steps involved in factor analysis.
- Assessing a factor analysis.
- Performing a factor analysis using SPSS for Windows.
Reading materialsFrancis, G, Multiple Regression, Swinburne University of Technology, 2003.
Francis, G, Multivariate Analysis of Variance and Factor Analysis, Swinburne University of Technology, 2003.