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MODULE DESCRIPTOR
Module Title
Research: Statistics And Data Analysis
Reference SS3090 Version 1
Created December 2021 SCQF Level SCQF 9
Approved February 2022 SCQF Points 15
Amended ECTS Points 7.5

Aims of Module
To introduce the student to descriptive and inferential statistics used in social science research.

Learning Outcomes for Module
On completion of this module, students are expected to be able to:
1 Demonstrate knowledge of the role of statistics and data in research.
2 Employ appropriate statistical and data analysis techniques.
3 Critically apply appropriate statistical and data analysis techniques.

Indicative Module Content
The role of statistics and data in hypothesis testing: descriptive/inferential approach. Types of data: quantitative and qualitative. Data visualisation: descriptive statistics (measures of central tendency and variability and how to present them). Populations and samples, frequency distributions. Types of statistical tests; parametric/non parametric; design factors and choice of test. Correlation, t tests (and equivalents) and introduction to ANOVA. Computer packages and their use. Positionality of research and researcher.

Module Delivery
This is a mainly lecture based module with supporting seminars/workshops and student-centred learning. The on-campus activities will be supplemented and supported with online activities where appropriate.

Indicative Student Workload Full Time Part Time
Contact Hours 24 N/A
Non-Contact Hours 126 N/A
Placement/Work-Based Learning Experience [Notional] Hours N/A N/A
TOTAL 150 N/A
Actual Placement hours for professional, statutory or regulatory body    

ASSESSMENT PLAN
If a major/minor model is used and box is ticked, % weightings below are indicative only.
Component 1
Type: Examination Weighting: 50% Outcomes Assessed: 1
Description: Component 1 will be assessed by examination.
Component 2
Type: Coursework Weighting: 50% Outcomes Assessed: 2, 3
Description: Component 2 will be assessed by written coursework.

MODULE PERFORMANCE DESCRIPTOR
Explanatory Text
The examination (refer to x axis on top of grid) contributes 50% to the module total. The coursework (refer to y axis on left side of grid) contributes 50% to the module total.
Examination:
Coursework: A B C D E F NS
A A A B B C E
B A B B C C E
C B B C C D E
D B C C D D E
E C C D D E F
F E E E E F F
NS Non-submission of work by published deadline or non-attendance for examination

Module Requirements
Prerequisites for Module None, in addition to SCQF 9 entry requirements or equivalent.
Corequisites for module None.
Precluded Modules None.

INDICATIVE BIBLIOGRAPHY
1 DANCEY, C., 2020. Statistics without maths for psychology. 8th ed. USA: Pearson.
2 GRIMM, L. G., 1993. Statistical Applications for the Behavioural Sciences. 4th ed. USA: John Wiley and Sons.
3 HOWELL, D. C., 2013. Statistical Methods for Psychology. 8th ed. Belmont, C.A: Duxbury Press
4 KINNEAR, P. and GRAY, C. D., SPSS (Versions 19-25 are applicable) Made Simple. East Sussex: Psychology Press.
5 PALLANT, J., 2020. SPSS Survival Manual. 7th ed. Maidenhead, England: McGraw-Hill Education.


Robert Gordon University, Garthdee House, Aberdeen, AB10 7QB, Scotland, UK: a Scottish charity, registration No. SC013781