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The University of Southampton

PSYC2019 Research Methods and Data Analysis III

Module Overview

The lectures cover theory, terminology, calculations for statistical tests, concepts relating to research methods and the use of SPSS. This module will focus on understanding rationale behind different statistical procedures, discriminating between different types of inference frequently made in psychological research (association and causal claims), understanding and following ethical guidelines to psychological research, running various statistical analyses and reporting results following APA guideline. One of the pre-requisites for PSYC3003, PSYC3005, PSYC3010, PSYC3024, PSYC3044 and PSYC3064

Aims and Objectives

Learning Outcomes

Learning Outcomes

Having successfully completed this module you will be able to:

  • write-up results of various statistical tests following APA guideline
  • rationale behind different statistical tests, probability and hypothesis testing, various research methods, statistical significance, power, reliability, generalizability, and replicability
  • formulate experimental designs to answer simple research questions
  • select and apply appropriate statistical tests and measures via hand calculations and SPSS
  • interpret and present the output of statistical tests and measures
  • evaluate and compare different research methods and designs
  • valuate ethical issues relating to psychological research


- Short refresher: Basic concept, probability, normal distribution and z-scores, sampling distribution, CLT, power, hypothesis testing - Hypothesis tests applied to means: t-tests for independent and related samples) - Nonparametric equivalent of t-tests - Simple Analysis of Variance (for independent and related samples) - Nonparametric equivalents to ANOVA - Factorial Analysis of Variance (between, within, and mixed models) - Correlation (parametric, nonparametric, partial) - Simple and Multiple Regression - Categorical data and chi-square - Ethics

Learning and Teaching

Teaching and learning methods

Interactive lectures (2x90 minute sessions per week) and Tutorials/Feedback Sessions (1x90 minute session per week). The first lecture of the week is theoretical, students learn about different statistical techniques, their rationale, requirements and hand computations. The second lecture is SPSS based, students learn how to carry out different tests, interpret SPSS outputs and write up results. Students are actively involved by completing some of the hand calculations and all of the SPSS calculations in class, as well as discussing correct answers and typical mistakes. The obligatory tutorials/feedback sessions are entirely practical and involve the use of hand calculations and SPSS in data analysis. There are Teaching Assistants who actively ensure that students are understanding and completing the tasks.

Independent Study86
Total study time150

Resources & Reading list

Field, A. (2003). Discovering Statistics using IBM SPSS Statistics. 

Howell, D. (2009). Statistical Methods for Psychology. 


Assessment Strategy

Tutorials/Feedback sessions are compulsory and students' absence during more than 3 sessions will results in their marks being capped. Midterm is worth 45% and final exam 55% of the module grade. Please note, the final exam requires access to computers with SPSS. There is no resit for the midterm exam. Midterm exam can be carried over for students who fail the final exam


MethodPercentage contribution
Exam  (2 hours) 55%
Exam  (105 minutes) 45%


MethodPercentage contribution
Exam 100%

Repeat Information

Repeat type: Internal & External

Linked modules

Pre-requisite: PSYC1019

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