The University of Southampton
Courses

# 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 PSYC2020, PSYC3003, PSYC3005, PSYC3010 and PSYC3064

### Aims and Objectives

#### Learning Outcomes

##### Learning Outcomes

Having successfully completed this module you will be able to:

• 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
• evaluate ethical issues relating to psychological research
• write-up results of various statistical tests following APA guideline
• understand the rationale behind different statistical tests, probability and hypothesis testing, various research methods, statistical significance, power, reliability, generalizability, and replicability

### Syllabus

- 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.

TypeHours
Independent Study86
Teaching64
Total study time150

#### Resources & Reading list

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

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

### Assessment

#### Assessment Strategy

Tutorials/Feedback sessions are compulsory and students' absence during more than 3 sessions will results in their marks being capped. The midterm assessment is worth 45% and the final assessment is worth 55% of the module grade. There is no resit for the midterm assessment. The midterm assessment can be carried over for students who fail the final assessment.

#### Summative

MethodPercentage contribution
Multiple choice Test 30%

#### Referral

MethodPercentage contribution
Assessment 100%

#### Repeat Information

Repeat type: Internal & External