METHODS AND ANALYTICS FOR HR RESEARCH - 2023/4
Module code: MANM382
The module introduces and explores 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 an 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
Overall student workload
Independent Learning Hours: 84
Lecture Hours: 22
Seminar Hours: 11
Guided Learning: 11
Captured Content: 22
Prerequisites / Co-requisites
Indicative content includes (weekly topics):
Identifying a research question
Conducting literature reviews
Collecting and preparing data
Writing the dissertation
|Assessment type||Unit of assessment||Weighting|
|Coursework||INDIVIDUAL WRITTEN ASSIGNMENT||100|
The assessment strategy is designed to provide students with the opportunity to demonstrate:
Their breadth and depth of understanding of both the theory of research methods and its application to research problems (through their assignment). The assignment (approximately 4000 words) focuses on the transfer of knowledge to practice and ensures that students actively apply their theoretical knowledge to analysing research questions.
Thus, the summative assessment for this module consists of:
Coursework INDIVIDUAL WRITTEN ASSIGNMENT 100%
Students will receive continuous feedback during the module. Students will be encouraged to ask questions to the teaching staff throughout the module. The module adopts an inquiry-based approach to feedback. Students will receive feedback on their performance throughout the module. These include verbal feedback provided during face-to-face seminars on the individual assignment.
In addition to the overall mark, generic feedback will be provided for each individual assignment to help students identify their strengths and weaknesses.
Feedback will help students to assess their understanding of the module materials and identify the areas in which improvement can be made. The overall mark will allow students to assess their progress in comparison with their peers.
- Introduce approaches to tackling research problems
- Provide students with an introduction to qualitative and quantitative research methods and the ethical aspects of research
- Provide students with hands-on experience with data collection and data analysis
|001||Identify the attributes of a good research topic and turn research ideas into research problems||K|
|002||Conduct a review of appropriate literature relevant to a stated research topic||K|
|003||Distinguish between main research approaches and understand the philosophy of science||CT|
|004||Evaluate a range of data collection tools in order to design an effective research method and the related ethical issues.||CT|
|005||Use quantitative and qualitative data analysis procedures to serve the purpose of a research project||PT|
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Methods of Teaching / Learning
The majority of learning will be independent learning, in line with other courses on the programmes. The teaching be in the form of Lectures and seminar 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.).
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.
Upon accessing the reading list, please search for the module using the module code: MANM382
This module promotes four of the main Student Competency Framework Pillars as follows:
The module is designed to equip students with the capability of identifying a problem and gathering data to solve the problem - a fundamental requirement for a career in HR analytics and HR management. Most importantly, students will learn how to conduct independent and critical research, which is relevant for almost any career they would like to purse.
Resourcefulness & Resilience
Students are expected to come up their own ideas to do the assignment, explore their own network to collect the data, and finally analyze the data and present the findings in a report. This process will enable them to develop their own resources. Their resilience can also be enhanced by solving the difficulties and challenges in the research process. The staff members will support students when needed.
The module is designed to meet the Learning Outcomes of the CIPD unit - 7CO04 Business Research in People Practice:
1. Be able to plan a people practice business research project aimed at adding organisational value - justify terms of reference for the business project - critically analyse key publications and other evidence to underpin the research questions - develop a range of questions aimed at addressing the project's main focus and outcomes.
2. Be able to justify the most appropriate research methods to collect data for the chosen project - assess differences between primary and secondary data, including the value of different research methods - justify the most appropriate research methods to support the project's intended outcomes - critically assess the ethical issues surrounding data collection, usage and storage for the project.
3. Be able to analyse data to make decisions and provide business and people management insights - appraise the costs of different approaches to data collection and analysis for the project - design an appropriate strategy for analysing, organising and interpreting data collected from research - present the findings of the business project clearly and logically and aimed towards the intended audience.
4. Be able to propose recommendations based on conclusions derived from the research and analysis - justify conclusions derived from analysis of key findings, which align to the terms of reference - propose business-focused recommendations, action points and a cost-benefit analysis - evaluate the success of the project, including ways in which to improve future project design and delivery.
Programmes this module appears in
|Human Resources Management MSc||1||Compulsory||Each unit of assessment must be passed at 50% to pass the module|
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 2023/4 academic year.