Module overview
Psychology is a science that involves experimental work and data analysis. The module will provide the fundamental information required to progress to more complex statistical techniques taught in Semester 2 and Year 2. Learning about research methods and data analysis will enable you to be able to evaluate the research of other psychologists, and design and execute your own research throughout your degree.
One of the pre-requisites for PSYC3064 and all the further Research Methods modules.
Linked modules
Pre-requisite: PSYC1016
Aims and Objectives
Learning Outcomes
Learning Outcomes
Having successfully completed this module you will be able to:
- Present data and perform basic analyses, by hand and using the statistics package SPSS.
- Conduct and interpret results from basic statistical techniques and analyses.
- Understand the basic concepts of research methods and statistics within the context of experimental psychology.
Syllabus
- Experimental Questions: Hypothesis formation, the null hypothesis, variables (independent, dependent, discrete, continuous). Measurement scales (nominal, ordinal, interval, ratio)
- Research Methods: Experimental vs. non-experimental, case studies, correlation, laboratory vs. field, independent samples, repeated measures, mixed factorial designs, control groups, random allocation, sampling methods (random, stratified, snow-ball, convenience, etc.), reliability, validity, controlling for participants' expectations and experimenter effects.
- Descriptive Statistics: Means, modes, medians, percentiles, variance, standard deviation, interquartile range.
- Presenting Data: Tables, frequency plots, cumulative frequency plots, histograms, stem & leaf plots, box & whisker plots, scatter plots, bar charts, applied to simple and factorial designs, including interactions.
- Samples & population distributions: skew, kurtosis, bimodal distributions, transforming data, normal distribution, z-scores, sampling distribution of the mean, Central Limit Theorem, standard error, confidence intervals.
- Statistical Tests: z-test and one-sample t-test.
Learning and Teaching
Teaching and learning methods
Students listen to a theoretical lecture each week, where rationale, limitations and interpretation of results of various statistical techniques is presented. They also learn about basic statistical concepts. This can be also presented in form of a recording. Then, they have a chance to put theory into practice during obligatory feedback sessions/workshops (online or in-class).
| Type | Hours |
|---|---|
| Teaching | 24 |
| Independent Study | 126 |
| Total study time | 150 |
Resources & Reading list
Textbooks
Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics. Sage.
Howitt, D & Cramer, D. (2014). Introduction to Research Methods in Psychology. Harlow,England; New York: Pearson.
Assessment
Assessment strategy
Formative assessment: Answers and feedback will be provided for the tutorial exercises to give students the chance to monitor their own progress.
Summative assessment: Students will also take 4 sets of MCQs tests to check their knowledge and understanding of the material covered in the recordings - this will be worth 8% of module marks. The second element of assessment, midterm coursework, will be weighted at 29.5% – students will design a study according to the criteria explained to them in advance; the third, end-of-semester assessment, will be weighted at 60%. This assessment includes hand and SPSS computations. Participation in the Research Participation Scheme provides 2.5% of module marks.
Feedback The primary source of feedback comes from the tutorial sessions, as well as provided exercises and their explanations. General feedback on the mid-semester assessment is provided during the lectures. Example past exam questions will be also provided, together with model answers and information required to generate the answers (moclk exam). There will be a revision session in the last lecture of the semester. Should students have any concerns about their progress on the course, or understanding of a particular area, they are welcome to schedule appointment during office hours of both lecturers.
Summative
This is how we’ll formally assess what you have learned in this module.
| Method | Percentage contribution |
|---|---|
| Exam | 60% |
| Coursework | 29.5% |
| Multiple choice question | 8% |
| Research Participation Scheme | 2.5% |
Referral
This is how we’ll assess you if you don’t meet the criteria to pass this module.
| Method | Percentage contribution |
|---|---|
| Assessment | 100% |
Repeat Information
Repeat type: Internal & External