Singapore University of Social Sciences

Methods of Data Analysis: Exploring Behavioural Sciences (PSY392)


Methods of Data Analysis is a comprehensive introductory course on the application of statistical tools in social science research. Students will develop a fundamental understanding of quantitative data analysis techniques used by social researchers in a variety of research contexts, like survey, field and laboratory experiments. The types of statistical tests covered in the course include: correlations, within- and between-subjects t-tests and analysis of variance (ANOVA), simple regression and chi-square statistic. Students will also learn the basics of the SPSS statistical software in performing quantitative data analyses.

Level: 3
Credit Units: 5
Presentation Pattern: Every semester


  • Introduction to Statistics, Frequency Distributions and Central Tendency, Variability
  • z-Scores: Location of Scores and Standardized Distributions. Probability and Samples. Introduction to Hypothesis Testing
  • t Test for Independent and Related Samples
  • Introduction to Analysis of Variance (ANOVA)
  • Correlation and Regression
  • Chi-Square Statistic

Learning Outcome

  • Examine core concepts of statistics and data analysis, as well as statistical tests that apply to social science research
  • Formulate hypotheses
  • Apply statistical software or formulas
  • Analyse data obtained from experiments or survey research
  • Interpret statistical results and report them in APA format
  • Recommend suitable statistical tests or research designs for specified research studies
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