Module Specifications.
Current Academic Year 2024 - 2025
All Module information is indicative, and this portal is an interim interface pending the full upgrade of Coursebuilder and subsequent integration to the new DCU Student Information System (DCU Key).
As such, this is a point in time view of data which will be refreshed periodically. Some fields/data may not yet be available pending the completion of the full Coursebuilder upgrade and integration project. We will post status updates as they become available. Thank you for your patience and understanding.
Date posted: September 2024
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Description This module will introduce students to the most common quantitative analytic techniques in psychology. It will familiarise students with basic statistical tests, their appropriate usage and how to compute the tests using R. The module also supports the development of skills including data analytics and visualisation. A strong emphasis is placed on enabling students to integrate theory and statistical reasoning skills, including analytic competence, using laboratory experiments, practical laboratory classes and online labs. The content of laboratory activities will be informed by other core modules taken in Year 1 and through the use of real-world datasets. | |||||||||||||||||||||||||||||||||||||||||||||||||
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Learning Outcomes 1. Demonstrate the ability to import, clean, and manipulate datasets in R 2. Identify and use basic data analysis and visualization tools to describe, conduct and interpret basic descriptive statistics such as central tendency and variance. 3. Describe statistical concepts such as the normal distribution, probability, sampling distributions, confidence intervals, and hypothesis testing 4. Conduct, Report, and Interpret inferential tests such as correlation, simple regression, and t-tests 5. Use APA conform reporting for statistical results. 6. Gain first hand research experience by participating in psychological research projects within the school including those of staff, post-graduate students and undergraduate final year projects. 7. Use searching skills to effectively use library and online psychology resources. | |||||||||||||||||||||||||||||||||||||||||||||||||
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 |
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Indicative Content and Learning Activities
R and RstudioIntroduction to the R language environment; entering, importing, and saving data.Experimental and Survey designDescriptive statisticsMeasures of central tendency & dispersion.Describing and exploring Data using graphsIntroduction to data visualisation using for spread and inferential statistics.Sampling distributionsNormal distribution, skewed data, and z-scores; the student-t distribution; the Central Limit Theorem and sample error.Statistical InferenceInferential analysis using correlation, simple regression, and t-tests, and pitfalls in their interpretation.Theoretical and Practical Foundations of Hypothesis testingThe null hypothesis and underpinning assumptions; probability and statistical significance; Type I and Type II error.Inferential statisticsParametric and non-parametric tests of difference and association for two conditions; assessing normality.Report writingWriting APA-style psychology research reports, including appropriate citations and references. | |||||||||||||||||||||||||||||||||||||||||||||||||
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Indicative Reading List
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Other Resources None | |||||||||||||||||||||||||||||||||||||||||||||||||
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