ULMS Electronic Module Catalogue
The information contained in this module specification was correct at the time of publication but may be subject to change, either during the session because of unforeseen circumstances, or following review of the module at the end of the session. Queries about the module should be directed to the member of staff with responsibility for the module.
Title QUANTITATIVE METHODS IN BUSINESS AND MANAGEMENT
Code ULMS603
Coordinator Dr D Jayawarna
Strategy, IB and Entrepreneurship
D.Jayawarna@liverpool.ac.uk
Year CATS Level Semester CATS Value
Session 2018-19 Level 7 FHEQ First Semester 40

Pre-requisites before taking this module (other modules and/or general educational/academic requirements):
N/A  

Modules for which this module is a pre-requisite:
 

Programme(s) (including Year of Study) to which this module is available on a required basis:
Programme:MRMG Year:1

Programme(s) (including Year of Study) to which this module is available on an optional basis:
 

Teaching Schedule
  Lectures Seminars Tutorials Lab Practicals Fieldwork Placement Other TOTAL
Study Hours 24
A series of 8 lectures
      130
Field work, including online discussion forums via Vital
  154
Timetable (if known)              
Private Study 246
TOTAL HOURS 400

Assessment
EXAM Duration Timing
(Semester)		 % of
final
mark		 Resit/resubmission
opportunity		 Penalty for late
submission		 Notes
             
CONTINUOUS Duration Timing
(Semester)		 % of
final
mark		 Resit/resubmission
opportunity		 Penalty for late
submission		 Notes
Coursework  3500 words  Semester 1  40  Yes  Standard UoL penalty applies  Independent Research Report 
Coursework  2000 words  Semester 1  20  Yes  Standard UoL penalty applies  Independent Research Report 
Coursework  No limit - Data Anal  Semester 1  40  Yes  Standard UoL penalty applies  Evaluation of secondary data, data analysis and interpretation Notes (applying to all assessments) 1. Research Report: Critical Evaluation of a given topic (choice will be given) 2. Research Review: A critical review of an academic paper of your choice. 3. Research Project: Data analysis  

Aims

This module aims to:

-          Introduce the general principles of quantitative research design

-          Explore, critically, a range of quantitative research designs and design related issues that the researchers likely to encounter in developing an effective quantitative research programme – e.g. response bias, sampling related errors, data validity and reliability, develop the research instruments. 

-          Introduce a range of d escriptive and inferential quantitative methods, their underlying principles , suitability and purpose and the research designs  where they are likel y to be employed

-          Enable the students to obtain working knowledge of SPSS and an introduction to other popular statisti cal packages (AMOS and STATA) to handle survey data and to conduct, interpret and report quantitative data analyses.

-          Provide a knowledge to evaluate better the methods and statistical analysis from published research papers and reports

-          Develop skills in accessing, downloading and analysing secondary data 

-          Discuss the issues related to longitudinal data analysis and interpretation


Learning Outcomes

Understand the overall process of quantitative research;

 

Demonstrate a good understanding of the concepts of bias, validity, reliability and generalisability within quantitative research;

 Formulate and operationalise a research question/hypothesis;

Understand the needs for data, data types and sampling techniques

Demonstrate knowledge and understanding of how analysis of quantitative research would be undertaken by selecting appropriate techniques and showing awareness of the assumptions on which they are based;

Use statistical software packages (SPSS) for data analysis;

Evaluate different statistical software as related to the research of interest and the type of analysis;

Critically evaluate research publications from a methodological and statistical perspective;

Teaching and Learning Strategies

Lecture - A series of 8 lectures

Field Work - Field work, including online discussion forums via Vital

Syllabus
1  1

-          Introduction to Quantitative research – Qualitative vs. Quantitative research, Quantitative research designs and research process, key concepts

-          Developing a research framework, formulating research questions/hypotheses, hypotheses testing

-          Sampling, Variables, Types of data, Measurement process, Questionnaire/experiment design, Data distributions, Survey Administration, Data coding

-          Data analysis, reporting  and interpretation– Descriptive statistics, testing for assumptions, Bivariate statistics(ANOVA, t-tests, non parametric tests including chi-square), Graphs, Correlation

-          Data analysis, reporting  and interpretation - Multivariate data analysis – OLS and Logistic regression (Logit/pro bit models), Factor analysis (exploratory and confirmatory factor models), cluster analysis, reliability and validity tests

-          Secondary data – use, availability, access and download secondary data.

-          An introduction to longitudinal data and longitudinal data analysis.


Recommended Texts
Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module.
Explanation of Reading List: