Module Database Search
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. |