METHODS AND ANALYTICS FOR HR RESEARCH - 2019/0
Module code: MANM382
The module introduces and explorers key methods of research methods and analytics for HR. The course provides an intermediate grounding in a broad variety of methodological and analytical ‘tools’ for application to common HR and business issues. It provides an applied grounding in methods and the research process for the MANM357 Applied Research Dissertation module, where students explore an HR issue from a business perspective in greater detail. The course is very applied and hands-on with practical lab-based sessions in every session. It takes a ‘tool box’ approach to the core analytical techniques based upon intuitive understanding of them with a rule-based approach to their application. At the end of the course, students complete a structured assignment on how to apply principles of research and analytical techniques to a business issue from an HR perspective.
Surrey Business School
HUO Yuanyuan (SBS)
Number of Credits: 15
ECTS Credits: 7.5
Framework: FHEQ Level 7
JACs code: N600
Module cap (Maximum number of students): N/A
Prerequisites / Co-requisites
There are no specific required modules or previous learning needed to take this module. The course is open only to enrolled students on the MSc Human Resource Management. Students who have never completed a research-based social science dissertation may find extra background recommended reading helpful.
Indicative content includes (weekly topics):
Identifying a research question and ethics
Conducting literature reviews
Collecting and preparing data
Writing the dissertation
|Assessment type||Unit of assessment||Weighting|
|Coursework||INDIVIDUAL WRITTEN ASSIGNMENT ON INVESTIGATING A BUSINESS ISSUE FROM AN HR PERSPECTIVE (3,000 WORDS)||100|
The assessment strategy is designed to provide students with the opportunity to demonstrate:
Critical application of course materials
Knowledge of key methodological and analytical techniques
Appropriate application of techniques
Ability to interpret and present data and analysis in a clear and concise fashion
Assessment strategy involves more than exam technique (e.g. research skills)
Thus, the summative assessment for this module consists of a coursework of a structured assignment (100%). Students must first identify an area of HR or HR research. Once you have chosen a topic, answer a series of 13 questions by placing your answer to each question directly beneath the question. The total word limit for all your answers combined is 3,000 words (excluding the questions themselves). Appropriate penalties will be applied to assignments over the word limit.
The 13 questions are:
What academic literature would you situate topic in? How did you locate this literature?
What are the main theories? What are the main trends or empirical findings for each? You may briefly outline key theories or articles.
In your view, are there any controversies or issues? If so, outline the main ones.
What key research questions would you address if investigating this topic? What is the relevance of these questions to HR, organisations, and the academic literature?
What type of data would you need to answer these questions? Why do you propose this approach?
From where would you collect the data? How would you collect these data? How would you sample respondents? How much data would be ‘enough’ and why?
What research instruments would you use? Give examples and justify each.
Of the methods and analytical techniques introduced during the course, which would you use to investigate your research questions based on the proposed data? What are the advantages and disadvantages of each?
Do you foresee any issues in collecting and analysing the proposed data? Explain what steps you would take to resolve any issues you foresee.
Do you foresee and potential ethical issues? What steps would you take to deal with potential ethical considerations?
How would you present your analysis? What analysis/information would you include? What would you leave out? Why?
What results would you expect from the proposed study? What managerial implications would you advise based upon the expected results? Explain your answer.
In what ways would this study contribute to relevant academic debates or literatures?
Formative assessment and feedback
Weekly computer-based applied research exercises
Verbal feedback in Lectures/lab sessions
Clear explanation of marking scheme will be given for all assessments
Written feedback on coursework within three weeks of submission (by course tutors)
Office hours held will be held bi-weekly should further feedback be required
- Introduce approaches to tackling research problems
- introduce types of data, practical aspects in data collection, quality control, and appropriate application of techniques
- descriptive and exploratory techniques
- predictive techniques
- interpreting and clearly presenting data
- making evidence-based managerial recommendations
|001||Demonstrate a broad overview of analytical techniques, both quantitative and qualitative|
|002||Critically evaluate how these techniques can be applied to specific HR issues|
|003||Master use of statistical software to an intermediate level|
|004||Interpret data and form a coherent narrative|
|005||Professionally present data|
|006||Demonstrate a critical awareness of common data issues and their resolutions|
|007||Draw out evidence-based managerial recommendations|
|008||Demonstrate a critical awareness of research-related ethical issues|
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Overall student workload
Independent Study Hours: 117
Lecture Hours: 33
Methods of Teaching / Learning
The learning and teaching strategy is designed to:
The majority of learning will be independent learning, in line with other courses on the programmes. The teaching will mainly be in the form of Lectures and Lab Sessions. Each lecture will be based around exercises applying and illustrating the particular theme that week with specific reference to practical HR issues (e.g. diversity analysis for bivariate analysis, predicting turnover from selection scores for regression and prediction, making sense of engagement surveys with factor analysis, analysing the gender pay gap for moderation, etc.).
The learning and teaching methods include:
Lectures/lab sessions (11 x 3 hours)
Self-directed learning (including assignment)
Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.
Reading list for METHODS AND ANALYTICS FOR HR RESEARCH : http://aspire.surrey.ac.uk/modules/manm382
Programmes this module appears in
Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2019/0 academic year.