Catalogue of Modules, University of Nottingham

C84IQW Introduction to Quantitative Workplace Data
(Last Updated:03 May 2017)

Year  17/18

Total Credits: 10

Level: Level 4

Target Students:  Students registered on the MSc in Management Psychology within the Division of Psychiatry and Applied Psychology

Taught Semesters:

Full Year Assessed by end of Designated Period 

Prerequisites: None.

Corequisites:  None.

Summary of Content:   Research goals (description, explanation, prediction, control) Variables (IV, DV, confounding) Research questions and hypotheses Quantitative data collection (approaches to and issues in quantitative measurement) Research design (cross-sectional, prospective, longitudinal, intervention) Measures of central tendency Measures of dispersion Levels of measurement Statistical significance Introduction to SPSS Tests of association (correlation, linear regression, logistic regression) Tests of difference (t-test, one-way ANOVA)

Method and Frequency of Class:

ActivityNumber Of WeeksNumber of sessionsDuration of a session
Seminar 10 weeks1 per week2 hours

Activities may take place every teaching week of the Semester or only in specified weeks. It is usually specified above if an activity only takes place in some weeks of a Semester

Method of Assessment: 

Inclass Exam 1 (Written) 100 2.5 Rogo exam 

Mr J Houdmont

Education Aims:  To empower workplace researchers with knowledge and skills for the design, execution, interpretation, and presentation of workplace health and management research. The learning materials recognise that most students coming to the module have not completed an accredited undergraduate psychology degree; in response the module (a) provides foundation level coverage prior to introducing sophisticated techniques and (b) utilises workplace-specific research examples throughout. The module covers approaches to the design of workplace health and management studies, the collection of data, and the evaluation of that data with a view towards the construction of an evidence-based argument for the introduction of policies, procedures, and interventions that are designed to generate occupational health and performance benefits. The underlying guiding principle is one of facilitating practitioners in the development of the knowledge, confidence, and vocabulary required to explain, justify and implement studies in the organisational setting.

Learning Outcomes:  On completion of this module students should be able to (a) understand the circumstances in which a quantitative approach to data collection might be appropriate, (b) distinguish between various research goals, (c) develop research questions and hypotheses, (d) demonstrate familiarity with approaches to quantitative data collection and associated pros and cons, (e) understand statistical significance, (f) demonstrate familiarity with measures of central tendency and dispersion, their strengths and weaknesses, and calculation, (g) demonstrate competence in the use of SPSS, (h) understand and be able to calculate a range of inferential tests of association and difference, and demonstrate competence in the interpretation and presentation of associated SPSS output.

Offering School:  Medicine

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