PSYC2019 Research Methods and Data Analysis III
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.
Aims and Objectives
Completing this module students are expected to get the knowledge and skills necessary to (1) evaluate psychological research reports and papers from statistical point of view; (2) apply research methods and design experimental and non-experimental studies to answer various questions related to psychology; (3) run statistical analyses using SPSS; and 4) report methods and findings.
Having successfully completed this module you will be able to:
- formulate experimental designs to answer simple research questions
- rationale behind different statistical tests, probability and hypothesis testing, various research methods, statistical significance, power, reliability, generalizability, and replicability
- write-up results of various statistical tests following APA guideline
- 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
• Basics concepts Probability • Normal distribution and z-scores • Sampling distribution, and hypothesis testing, power, effect sizes • Hypothesis tests applied to means: t-tests (for independent and related samples) • Simple Analysis of Variance (for independent and related samples) • Factorial Analysis of Variance (between, within, and mixed models) • Correlation (parametric, nonparametric, partial) Simple and Multiple Regresion • Nonparametric equivalents to t-tests and ANOVAs • Categorical data and chi-square • Ethics
This module requires relatively big amount of contact hours, students attend 4 hours of lecture and 2 hours of tutorial every week
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 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.
|Total study time||150|
Resources & Reading list
Field, A. (2003). Discovering Statistics using IBM SPSS Statistics.
Howell, D. (2009). Statistical Methods for Psychology.
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.
|Exam (2 hours)||55%|
|Exam (105 minutes)||45%|
Repeat type: Internal & External
To study this module, you will need to have studied the following module(s):
|PSYC1010||Research Methods and Data Analysis I|
Costs associated with this module
Students are responsible for meeting the cost of essential textbooks, and of producing such essays, assignments, laboratory reports and dissertations as are required to fulfil the academic requirements for each programme of study.
In addition to this, students registered for this module typically also have to pay for:
Please also ensure you read the section on additional costs in the University’s Fees, Charges and Expenses Regulations in the University Calendar available at www.calendar.soton.ac.uk.