ADVANCED RESEARCH METHODS FOR APPLIED PSYCHOLOGY - 2023/4

Module code: MANM356

Module Overview

Advanced research methods are a key differentiator of the approach of work and organizational psychologists to their practice with organizational clients and as scientists in conducting research in organizations.

This module is designed to enable students to develop skills and knowledge of advanced techniques that can be deployed flexibly in various research and practice settings. Learning will be key to student preparation for the dissertation.

Module provider

Surrey Business School

Module Leader

HUO Yuanyuan (SBS)

Number of Credits: 15

ECTS Credits: 7.5

Framework: FHEQ Level 7

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

Overall student workload

Independent Learning Hours: 79

Lecture Hours: 27

Laboratory Hours: 6

Guided Learning: 11

Captured Content: 27

Module Availability

Semester 2

Prerequisites / Co-requisites

No Pre-Requisites required.

Module content

Indicative content includes:


  • Advanced research designs

  • Advanced quantitative and qualitative analysis techniques

  • The role of methodology in practice and research in organizations


Assessment pattern

Assessment type Unit of assessment Weighting
Coursework Quantitative Report 50
Coursework Qualitative Report 50

Alternative Assessment

n/a

Assessment Strategy

The assessment strategy is designed to provide students with the opportunity to demonstrate:

Practical and technical skills in applying advanced research methods.

Thus, the summative assessment for this module consists of:


  • A quantitative report

  • A qualitative report



Formative assessment

Although not formally assessed, ongoing practical activities will enable student progress to be checked.

Feedback

Verbal feedback will be given to students based on activities in class.  

Module aims

  • Build technical skills in advanced research methods, focusing on conducting research in organizations.
  • Introduce and allow practice of quantitative analytical techniques
  • Introduce and allow practice of qualitative analytic techniques

Learning outcomes

Attributes Developed
001 Appreciate and understand the relevance advanced research methodology KCP
002 Understand advanced quantitative analysis techniques. KPT
003 Understand advanced qualitative analysis techniques. KPT
004 Critically evaluate the role of research methods in applied practice and research. CP
005 Carry out advanced quantitative and qualitative analysis, and draw conclusions. CPT

Attributes Developed

C - Cognitive/analytical

K - Subject knowledge

T - Transferable skills

P - Professional/Practical skills

Methods of Teaching / Learning

The learning and teaching strategy is designed to enable students to develop a practical and critical perspective on advanced methodology in work and organizational psychology.

The learning and teaching methods include:


  • Lectures from the Module Team

  • Practical activities applying techniques of analysis

  • Assignments that involve application of advanced techniques to draw conclusions


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: MANM356

Other information

 

Employability and Digitial Capabilities – This module is designed to let students learn how to conduct meaningful research and then draw a valid conclusion. This can help prepare them to be capable of doing a research project on their own in the future. Students will use a variety of different software packages to work with data.

Resourcefulness and Resilience – students will be able to learn how to design a research project based on their limited resources. This can enable them to respond positively and effectively to the opportunities or challenges that they are facing in the real world.

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.