The aim of this module is to teach students about research methodology and the knowledge needed to access and interpret the research literature. For those who take the statistical analysis element, the aim is also to teach appropriate statistical techniques for the analysis of quantitative data. The emphasis will be on methods of data collection and analysis which will be useful in practice settings, so that advanced multivariate techniques will not be taught.
Total contact hours: 42
Private study hours: 108
Total study hours: 150
Autism Studies MA
Autism Studies PG diploma
Autism Studies PG certificate
Intellectual and Developmental Disabilities MA
Intellectual and Developmental Disabilities PG certificate
Analysis and Intervention in Intellectual and Developmental Disabilities MSc
Analysis and Intervention in Intellectual and Developmental Disabilities PG diploma
Applied Behaviour Analysis MSc
Applied Behaviour Analysis PG diploma
Applied Behaviour Analysis PG certificate
Main assessment methods
Coursework assignment 1 (1200-1500 words) – 10%
Coursework assignment 2 (1200-1500 words) – 10%
Coursework assignment 3 (1200-1500 words) – 10%
Coursework assignment 4 (1200-1500 words) – 20%
Coursework assignment 5 (1200-1500 words) – 20%
Examination (1 hour) – 30%
Reassessment methods
Reassessment instrument - Like-for-like
Kinnear, P.R. and Gray, C.D. (2012) IBM SPSS statistics 19 made simple. Psychology Press Ltd: Hove
Coolican, H. (2009) Research Methods and Statistics in Psychology. (5th ed.) Hodder & Stoughton.
Gough, D., Oliver, S., Thomas, J. (2012). An introduction to systematic reviews. SAGE
See the library reading list for this module (Canterbury)
The intended subject specific learning outcomes.
On successfully completing the module students will be able to:
8.1 Be able to effectively identify and utilise advantages and disadvantages of different methods of data collection (direct observations, rating
scales, questionnaires, interviews) and different research designs.
8.2 Be able to access and interpret complex research and data sources.
8.3 Be able to effectively conduct a systematic review.
8.4 Demonstrate advanced skills in observational data collection including the selection of appropriate measures for collecting different types
of observational data.
8.5 Understand issues of reliability and validity and be able to calculate indices of these.
8.6 Be able to conduct interviews and focus groups (Qualitative option); be able to use SPSS and identify different types of data (Quantitative
option).
8.7 Demonstrate the ability to perform qualitative analysis (e.g. thematic analysis, interpretative phenomenological analysis) and use NVivo
(Qualitative option); demonstrate the ability to use parametric and non-parametric statistics via the use of SPSS and understand the
embedded assumptions of these (Quantitative option)
The intended generic learning outcomes.
On successfully completing the module students will be able to:
9.1 Be able to design and conduct their own research.
9.2 Be able to interpret complex data- this will also be used as part of their dissertation (TZRD9940/TZRD995)).
9.3 Be able to present, analyse and interpret findings from both assessments in services and with individual people (TZRD862)/TZRD864)).
9.4 Be able to analyse statistical and qualitative data.
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