Application of Quantitative Research Methodology

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Application of Quantitative Research Methodology

COURSE/ UNIT INFORMATION

Course Doctorate in Business Administration

Course Level Doctoral

Module Name Application of Quantitative Research Methodology

Module Code DBGMU103

Turnitin ID 36021122

Enrolment Key DBA2022

ASSIGNMENT INFORMATION

Full/ Part Assignment Assignment IV by Mr. Shahid Wani

Faculty TO BE FILLED BY THE STUDENT

Student Name Student ID Email ID Date Submitted ASSSESSMENT FFEDBACK

TO BE FILLED BY THE ASSESSOR

Assessment type Marks Marks Awarded

Task 1: Critical Report 100 Overall Marks 100 Overall Grade achieved by the learner

Plagiarism Report

Summative Feedback by Assessor for further improvement

GRADE DESCRIPTORS

70% and above

(Distinction) The assignment evaluated is of a high to exemplary standard. The work addresses clearly and articulately the assignment requirements and thus meets and satisfies all the learning outcomes (either well or in an exemplary way). The work demonstrates: clear knowledge; references to appropriate academic literature; analysis; critical evaluation; and originality of argument. It is structured and presented to a high (or exemplary) standard. Referencing conventions are fully observed.

60 to 69%

(Merit) The assignment evaluated is of a good to a high standard. Substantial knowledge, comprehension and analysis is evident throughout. Arguments presented are clear and focused with a logical structure in place. There is clear evidence of critical evaluation of a wide range of theories/perspectives from academic literature and some independent thought. The work is well-written and addresses well all of the learning outcomes. Referencing conventions are fully observed.

50 to 59%

(Pass) The assignment evaluated is of a fair to good standard. Adequate knowledge, comprehension and analysis is evident throughout. The arguments presented have a logical structure and show some critical evaluation in places, although there may be limited evidence of an independent perspective. There is evidence of some good engagement with some of the appropriate literature. Learning outcomes have been largely met and to an appropriate degree. Referencing conventions are observed.

40 to 49%

(Fail/Redo) The assignment evaluated is of a basic standard. The arguments presented have some logical structure and are supported by academic literature in most cases. The academic literature used is outside of the suggestions made in the module guide but remains limited. Little critical evaluation is evident, and the work tends more widely towards a descriptive style. Learning outcomes have been addressed in a basic but satisfactory way. Referencing conventions are mostly observed.

Fail Grades

30 to 39%

(Module retake) The assignment evaluated is of a limited standard. Limited use of academic literature and as such knowledge and argument is very weak. A simple descriptive style with no evidence of critical evaluation throughout. Over-reliance on simplistic, limited sources. Referencing conventions may not be observed. Some learning outcomes met but in a weak and simplistic way. The work is needs to be developed in greater depth and detail to move to a passable standard at this level of study

29% and Below

(Module retake) The assignment evaluated is of an unacceptable standard. There is little or no evidence of knowledge and understanding that is required at this level. Referencing is inadequate or non-existent. The learning outcomes have not been addressed fully and the work requires significant modification to bring it to a passable standard.

Module Description

This course will enhance participants understanding of research process. Participants will critically explore research approaches, language, and ethics. The course will take a step-by-step approach to develop students' knowledge, skills and understanding on design and implementation of quantitative and qualitative research designs including Cross-sectional surveys, cohort studies, Randomized Controlled Trials, and operational study designs which include quasi experiments and Cluster Randomized Controlled Trials. The course will equip students with the skills necessary to conduct secondary research designs including scoping and systematic reviews. The course will also help students to develop the skills to recognize and reflect on the strengths and limitations of different research methodologies and address ethical and practical issues in research. Further the student will be equipped with the ability to methodologically review and derive meaning from published research work for application in professional practice and growth.

Learning outcomes

LO1: To understand the fundamental concepts of Statistics in a research environment and build

models for testing.

LO2: To be able to create and develop the deductive research design and hypothesis for a

research problem.

LO3: To understand the methodology of multivariate analysis and conduct multivariate analysis

with different data sets.

LO4: To conduct statistical, descriptive, bivariate, and multivariate analysis on SPSS that

includes data cleaning, loading, testing, and analysis.

Expectations

Materials Access

All learning materials are provided in the form of a module kit and can be accessed from the Learning Management system (LMS)

Learning Hours

Students need to be aware of their commitment requirements in regard to study time. In order to give you an indication of that, we have based the following information on the United Kingdom (UK) Higher Education Quality Assurance Agency guidelines. The notional learning hours associated with qualifications, programmes and individual units of study are based on a broad agreement across institutions that students can expect to spend 10 hours learning on average in order to gain one academic credit unit (QAA 2006).

Re-sit

If you do not secure a pass, please read closely the feedback and speak with your Course leader(s) or faculty. After consulting the feedback, close attention is essential to rework on the areas of weakness, and then resubmit the work at the next opportunity. As per the QAA requirements, only one REDO is allowed where the marks will be capped at a Pass.

Plagiarism

All forms of plagiarism are taken seriously, and any suspected cases will be investigated thoroughly. If a case is found proven, then the work will be graded as a fail and the case will be reviewed by the academic committee.

Student appeals

There are no re-evaluations as the marks are graded and internally verified before release. However, as per our appeals policy, a student can make an appeal to the course leader which will be then reviewed by the academic committee (please check our academic policies and procedures manual for more information)

Assignment submission extensions

Students can apply for extensions via the LMS based on extenuating circumstances (if any) with evidence (proof) as per our extensions policy.

General Guidelines

Complete the To be filled by the student section in the cover page.

All assignments must be submitted as an electronic document in MS word via the LMS (Use 12 Times New Roman script with 1.5 spacing between lines)

The results are declared only if the student has met the mandatory attendance requirement of 75% and/or minimum 50 % under extenuating circumstances approved and ratified by the academic committee and the examination board.

The assignment should not contain any contents with references cited from websites such as ukessays.com, styudymode.com, slideshare.net, scribd.com, Wikipedia but should contain references/citations from credible academic journal and articles.

Submit the assignment in MS word document with the file name being:

First Name Last Name _ Module Code

Example: John Smith_GM701

Checklist

I have filled the student Information columns below.

The contents of my assignment have been submitted to Turnitin and I have attached the Turnitin report

I have strictly followed Harvard Referencing Style and Citations.

Assessment tasks

Scenario-A business researcher believes that people who watch social media frequently are exposed to many commercials, which in turn leads users to indulge in impulse buying behavior. To test this belief, a researcher plans to survey a sample of social media users across the country. Also, wishes to see the gender role in the impulsive buying behavior, who are likely to involve more in impulse buying behavior (not part of the problem).

Note- Please provide accurate scholarly citations for all of your responses. Overall, 90 marks are split into three categories, with 10 points devoted to academic writing. The word count restriction for each part should be followed by the researchers.

Part 1: Briefly explain. (1000) 25 Marks

Explain deductive approach for the scenario given? (draw a diagram of steps)

What sampling method could the researcher use to select his/her sample and why?

What are the variables the researcher should consider while collecting data for the purpose of the analysis and why?

Identify the data type(s) for the variables based on measurement scale.

Part 2: First, the researcher wishes to use the graphical descriptive methods and numerical descriptive mesures to present the data for the variables. (1000) 30 Marks

What steps should research perform in SPSS for data cleaning? (put sample diagrams)

Which demograph, researcher should add in questionnaire? How to Draw pie charts or histograms to depict demographics by using SPSS. (Ideally put sample diagram)

Based on the variables in problem what tests should researcher perform to present a numerical summary output of descriptive analysis in SPSS? (Ideally put sample diagram)

Part 3: The researcher also wishes to investigate the association between the two variables. (1000) 35 Marks

Explain what could be the independent variable (X) and the dependent variable (Y).

Also, develop the hypotheses which the researcher wishes to test and based on hypotheses which regression would be appropriate?

Using SPSS, which regression type research should be used and how to perform reggression and interpret the output SPSS generates?

Display the regression summary table. (Ideally put sample diagram)