Module: Research Methods & Statistics 3

Module Specifications..

Current Academic Year 2023 - 2024

Please note that this information is subject to change.

Module Title	Research Methods & Statistics 3
Module Code	PSYC310
School	37
Module Co-ordinator	Semester 1: Johannes Karl Semester 2: Johannes Karl Autumn: Johannes Karl
Module Teachers	Johannes Karl
NFQ level	8	Credit Rating	5
Pre-requisite	None
Co-requisite	None
Compatibles	None
Incompatibles	None

Coursework Only

Description

This module builds on PSYC212 in year 2 and introduces students to sophisticated quantitative research methodologies, designs, and analytical techniques in psychology. It also introduces students to structural equation modelling, latent variable modelling, mediation, and cutting-edge approaches such as psychometric and exploratory network modelling.

Learning Outcomes

1. Explain what multivariate analysis is and when its application is appropriate
2. Explain the appropriate usage of and interpret the results of dependence and interdependence multivariate techniques
3. Evaluate and review empirical research using multivariate statistics
4. Work in a group towards a common research goal
5. Disseminate research findings as a presentation

*Type*	*Hours*	*Description*
Workload	Full-time hours per semester
Lecture	36	Psychological skills are supported using learning activities analysing data sets
Online activity	13	Students will access digital resources relating to statistical reasoning, data entry and data visualisation
Online activity	37	Students will complete online activities, and topic-related online loop quizzes
Independent Study	39	Write-up of psychology practicals, becoming familiar with statistical concepts and research methods, identifying and critiquing key readings, report preparation
Total Workload: 125

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

Preparing for multivariate analysis
e.g. examining your data, missing data analysis, outliers, assumptions, data transformation

Dependence techniques
e.g. structural equation modelling and mediation analysis) and methodological approach to causality

Interdependence techniques
e.g. factor analysis and confirmatory factor analysis) and advanced scale design

Advanced regression techniques, regularization and networks

Research dissemination

Assessment Breakdown
Continuous Assessment	100%	Examination Weight	0%

Type	Description	% of total	Assessment Date
Course Work Breakdown
Loop Quiz	Completion of online six Loop quizzes relating to the content of the module.	12%	n/a
Loop Quiz	Completion of online four Loop quizzes relating to the content of the module, combined with a section covering the writeup of a statistical test.	28%	n/a
Report(s)	Write-up of a complete APA-style psychology report with revision opportunity worth 50% of overall module grade.	50%	n/a
Report(s)	Structured response letter to the initial report submission	10%	n/a

Reassessment Requirement Type
Resit arrangements are explained by the following categories; 1 = A resit is available for all components of the module 2 = No resit is available for 100% continuous assessment module 3 = No resit is available for the continuous assessment component
This module is category 1

Indicative Reading List

American Psychological Association: 2018, Publication Manual of the American Psychological Association, 7,
Thulin, M.: 2021, Modern Statistics with R.,
Rajiv S. Jhangiani: 2019, Research Methods in Psychology,
Garrett Grolemund, Hadley Wickham: 2017, R for Data Science,
Russell A. Poldrack: 2018, Statistical Thinking for the 21st century,
Hector, A.: 2021, The New Statistics with R: An Introduction for Biologists, 2,
Andy Field,Jeremy Miles,Zoë Field: 2012, Discovering Statistics Using R,
Cozby,Scott B: 2018, Methods in Behavioral Research, 13,
Cohen, B.H: 2013, Explaining psychological statistics, 4,
Barbara G. Tabachnick,Linda S. Fidell,Jodie B. Ullman: 2019, Using Multivariate Statistics,

Other Resources

None

Programme or List of Programmes

BPDT	BSc Psychology & Disruptive Technologies
BPM	BSc in Psychology with Mathematics

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