Latest Module Specifications
Current Academic Year 2025 - 2026
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Description This module develops students’ understanding of quantitative research in psychology and builds the skills needed to analyse, interpret, and communicate numerical data to answer psychological research questions. Students will learn to manage datasets, select appropriate statistical techniques, and conduct analyses in SPSS using clear and reproducible workflows. Through applied work with psychological datasets, students will develop competence in data visualisation, hypothesis testing, critical evaluation and interpretation of statistical findings, and the reporting of results in line with APA conventions. By the end of this module, students will be able to apply quantitative methods confidently and communicate evidence-based conclusions clearly and rigorously. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml
Indicative Content and Learning Activities
| Foundations of quantitative research and SPSS essentials Summarising psychological data: Descriptive statistics and data visualisation Statistical Interference and Group Comparisons: Comparing Two Groups Comparing More Than Two Groups – ANOVA Power and effect sizes in psychological research Exploring relationships: Correlation and simple regression Multiple Regression and Model Building Categorical data analysis: Chi-square and logistic regression Measuring psychological constructs: Psychometrics and factor analysis Advanced ANOVA designs and reporting
Indicative Reading List | Books:
Articles: None
Other Resources | None
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