METHODS AND ANALYTICS FOR HR RESEARCH - 2020/1

Module Overview

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 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.

Module provider

Surrey Business School

Module Leader

AHMED Sara (SBS)

Number of Credits: 15

ECTS Credits: 7.5

Framework: FHEQ Level 7

Module cap (Maximum number of students): N/A

Module Availability

Semester 2

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.

Module content

Indicative content includes (weekly topics):

• 
  Identifying a research question and ethics
  


• 
  Conducting literature reviews
  


• 
  Collecting and preparing data
  


• 
  Quantitative analysis
  


• 
  Qualitative techniques
  


• Writing the dissertation

Assessment pattern

Alternative Assessment

N/A

Assessment Strategy

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.

 

Feedback

 

• Individual assignment: overall mark and written feedback

The module adopts an enquiry based approach to feedback. Students will receive feedback on their performance throughout the module. These include both 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.

 

Marking of assessment will be carried out by the module tutors. The module leader will be responsible for moderation to ensure consistency of marking between tutors. Marks and generic feedback will be returned to students within three weeks of submission.

 

How feedback will contribute to student learning and performance:

 

Students will receive continuous feedback during the module. Students will be encouraged to ask questions to the teaching staff throughout the module. 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.

Module aims

• 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

Learning outcomes

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:





Activity


Hours




Lectures/lab sessions (11 x 3 hours) 


33




Directed learning


33




Self-directed learning (including assignment)


84




Total


150

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

https://readinglists.surrey.ac.uk
Upon accessing the reading list, please search for the module using the module code: 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 2020/1 academic year.