This subject is designed to introduce students to research methodologies and statistical procedures that are commonly used in quantitative research. As the central aim of the subject is to enable students to become intelligent and critical readers of research literature, the emphasis is on the purposes and constraints of selected statistical procedures. This requires a basic understanding of fundamental constructs that underpin data collection procedures and data analysis in quantitative research. Considerable emphasis is given to statistical procedures including univariate and bivariate analysis, as well as more sophisticated multivariate techniques. From this foundation, students are required to submit a proposal for quantitative research study, which asks students to identify a problem in the broad field of education, develop a research question or hypothesis, define the inherent constructs, select appropriate methods to investigate these constructs, and determine an analysis plan.
School of Education
An overview of quantitative research. Levels of measurement: The meaning of variables. Data entry and analysis in SPSS (Statistical Package for the Social Sciences). Distributions, means, standard deviations. Sampling. Structured interviews and surveys: Scale reliability and validity. Power, effect size, significance, testing hypotheses, and errors. Non-parametric tests. Analysis of group means, including one-way ANOVA, factorial ANOVA, covariance and repeated measures. Correlation and regression/multiple regression analysis. Factor analysis. Structural equation modelling.
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The information contained in the 2018 CSU Handbook was accurate at the date of publication: August 2018. The University reserves the right to vary the information at any time without notice.