KCE Week 4 Assignment: Quantitative Data Analysis and Collaboration

This assignment presents a collaborative analysis of three student responses regarding quantitative data analysis. Student A emphasizes the importance of turning raw numbers into meaningful data through critical thinking, mentioning the ability to compute exact sample numbers for accuracy and reliability using techniques like the split-half technique. Student B discusses the benefits of quantitative data, such as time and cost savings, and the potential for discovering unexpected viewpoints, while also highlighting the lack of control over data quality as a major drawback. Student C views quantitative methods as excellent for observing patterns not clear in raw data and aiding future speculation, stressing the impact of factors like sample selection on findings and the measurement of reliability through inter-rater accordance and internal consistency. The assignment brief requires a response to each student's work, discussing the pros and cons of quantitative research, the suitability of the methods for research plans, ethical and feasibility barriers, alternative methods, and potential ethical issues and constraints in primary data collection, with 2 references for each response. Cohen, L., Manion, L. & Morrison, K., (2007) and Saunders, M., Lewis, P., & Thornhill, A. (2012) are mentioned as references.

Quantitative Data 1
Collecting and Analysing Quantitative Data
By (Name of Student)
(Institutional Affiliation)
(Instructor’s Name)
(Date of Submission)

Quantitative Data 2
Collecting and Analysing Quantitative data
Student A
This student argues that when dealing with the quantitative data analysis, one is
expected to turn raw numbers or the information into meaningful data through the application
of the rationale and critical thinking. According to this student, a number of pros and cons
that are associated with the collection and analysis of the quantitative data but has mention
only one; i.e. With quantitative data an exact sample number can be computed according to
the level of accuracy and the level of probability the researcher requires (Cohen, Manion and
Morrison, 2007 p. 106). In relation to the feasibility and reliability, the student argues that the
quantitative approach usually take the split-half technique and the alpha coefficient size
(Cohen, 2007).
Student B
In relation to the quantitative data analysis, this student conducted a research idea on
the Impact of brand awareness on the consumers and collected secondary data for the
analysis. According to this student, the strength of using quantitative data saves time. The
student finds it much cheaper when quantitative approach is used. The use of quantitative
approach can allow us to receive some unexpected points of views based on the secondary
data collected. But according to the student, the main problem associated with collection and
the analysis of the quantitative data is lack of control over the quality of the data. (Saunders,
2012). The collection and analysis of by use of this method is known to provide realistic
results that are trustworthy.

Quantitative Data 3
Student C
This student also applied quantitative approach in his topic of interest to address
specific issues. This understudy perceives this technique to be great as it enables examples to
be observed that are not clear in the crude information while also decidedly helps for the
future speculation recognition (Collis and Hussey, 2013, p 226). In view of the legitimacy of
the discoveries, the understudies insists that the discoveries are influenced by different
factors, for example, the decision of the example. The level of dependability in a quantitative
research can be measured through the design of the level of inter ratter accordance and the
calculation of internal consistence. For instance, the two separate questions with the same
focus.

Quantitative Data 4
References
Cohen, L., Manion, L. & Morrison, K., (2007). Research methods in education 6th ed,
London: Routledge.
Collis, J. & Hussey, R. (2013) Business Research: A Practical Guide for Undergraduate and
Postgraduate Students. 4th ed. London: Palgrave-MacMillan.
Saunders, M., Lewis, P., & Thornhill, A. (2012) Research Methods for Business Students, 6th
ed. Pearson Learning Solutions.