STA20006 Analysis of Variance and Regression

Unit code: STA20006

Duration: 1 Teaching Period

Contact hours: Recommended 8 hours of study per week

About this unit

This unit introduces you to the statistical package SPSS for Windows & Mac (SPSS stands for Statistical Package for the Social Sciences). Students develop their capacity to carry out independent statistical investigations, together with an awareness of the assumptions and limitations involved with the generalisation of results of such investigations. 

Content

The content is divided into two modules and each module is further divided into topics.

Module 1: Using SPSS for Windows & Mac for Basic Data Analysis

  • Review of basic statistics: providing a framework for the unit of study.
  • Introduction to SPSS for Windows & Mac: exploring existing data sets, summarising the distribution of a categorical variable.
  • Describing the distribution of a metric variable.
  • Describing the relationship between two metric variables.
  • Testing significance using Pearson's r.
  • Comparing the relationship between two metric variables for two or more sub-groups.
  • Describing the relationship between two categorical variables.
  • Testing significance using the chi-square statistic.
  • Comparing the relationship between two categorical variables for two or more sub-groups.
  • Describing the relationship between a categorical variable and a metric variable.
  • Testing significance using t-tests.
  • Comparing the relationship between a categorical variable and a metric variable for two or more sub-groups.
  • Entering your own data into SPSS.

Module 2: Analysis of Variance

  • Review of variance and t-tests.
  • Introduction to the analysis of variance: the single factor, independent groups design.
  • Using SPSS to produce an analysis of variance.
  • Effect size and power analysis for ANOVA.
  • Reporting an analysis of variance. Analytical comparisons in the single factor independent groups design.
  • Analysis of variance for the single factor within subjects design.
  • Analysis of variance for the completely randomised factorial design.
  • Analysis of variance for the two factor mixed design.¬†