Business Research Methodology: Data Analysis and Collection

This document presents a comprehensive solution to a Business Research Methodology assignment. It addresses key aspects of research, including the collection of primary data through methods such as interviews, highlighting the benefits and considerations of this approach. The assignment also explores potential drawbacks of interview methods, such as human error and sample size limitations, and provides strategies to ensure data accuracy. Furthermore, it delves into quantitative data analysis, explaining its purpose and the steps involved, such as data management, variable identification, and descriptive statistics. The solution emphasizes the importance of eliminating bias, using appropriate statistical tools, and the advantages of combining qualitative and quantitative data. The document is well-structured, includes a reference list, and offers valuable insights for students studying business research methodologies. This assignment covers topics such as primary data, interviews, quantitative analysis, data collection methods, and statistical tools.

Running head: BUSINESS RESEARCH METHODOLOGY
Business Research Methodology
Name of the Student
Name of the University
Author Note

1BUSINESS RESEARCH METHODOLOGY
Table of Contents
Answer to question 1.......................................................................................................................2
Answer to question 2.......................................................................................................................2
Answer to question 3.......................................................................................................................3
Reference list...................................................................................................................................5

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Answer to question 1
A researcher collects primary data directly from the original source. Data is obtained
through observation, face to face interview or telephonic interview, and electronic mail services.
A research can get accurate outcome if biasness is eliminated in a proper way. The following
reasons can be highlighted to fetch out the benefits related to the primary data collection. First, it
is possible for the researcher to interact directly with the respondents (Levashina et al. 2014).
This makes the respondents more understandable regarding the purpose of the research work.
This further turns the research work more productive. Second, the primary data collection
through interview method is considered to be more authentic rather than secondary data. Primary
data set is considerably more reliable.
Meanwhile, the researcher may desire to swift the outcomes owing to having the financial
pressures. It is obvious that the researcher incur relatively higher cost during the primary data
collection method. A researcher should have the strong financial strength to conduct the primary
data collection as it compromises the transportation and logistics expenditure (Amaya et al.
2015). Henceforth, government organizations or large corporate houses prefer to conduct
primary data collection as they do not require to the sizable financial pressure.
Answer to question 2
The following drawbacks a researcher can during the course of interview. First, human
error is the common phenomenon when human interaction happens during the course of
interview. The interviewers may become biased for any participants focusing on the certain
conditions. Second, the selection of the focus group is done in favor of the researcher. The
opinions of the focus group then hamper the researcher to probe into deeper analysis. Third, the

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limitation of the sample size is a great challenge for the researcher. It is a daunting task for the
researcher to select the sample out of the large population.
A researcher can follow the following steps to maintain accuracy of the dataset. First, a
proper comprehensive structure should be constructed for the data collection method. The
structure offers set of guidance for the researchers how they should be unbiased while preparing
the questionnaire for the respondents (Keusch 2015). Second, the set of the survey questions
should be subject to the topic of the discussion. The outcome of the research work greatly
depends on the responses received from the selected sample respondents. Third, the researcher
should have the appropriate analytical skill to support the research work as research work is
associated with the statistical tool.
Answer to question 3
The purpose of quantitative data analysis can be explained as follows.
First, quantitative analysis helps in eliminating the human bias in the data computation process.
The effectiveness of the quantitative analysis depends on the application of the statistical tool.
The probable computational error can be ignored while following the application of the
appropriate statistical methodology (Cleary, Horsfall and Hayter 2014). Second, the
advantageous factor for the quantitative analysis is the inclusion of both qualitative and
quantitative data. It widens the prospect of the research work. The multidimensional approach of
the quantitative research has enhanced its popularity with respect to other empirical and
experimental research work.
Data can be prepared for the quantitative analysis through the following steps.

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Data management: This step includes the screening of data, selection of the analytical tool and
inclusion of the data into the selected software program.
Identification of the variable types: In this step, a researcher distinguishes the variables into
two types, such that, independent variable and dependent variable analyzing the cause-effect
approach (Jamshed 2014).
Execute descriptive statistics: This step is used to summarize the fundamental features of the
sample data set with the help of the useful statistical methodologies including the concepts of
central tendency and distribution.

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Reference list
Amaya, A., Leclere, F., Carris, K. and Liao, Y., 2015. Where to Start: An Evaluation of Primary
Data-Collection Modes in an Address-Based Sampling Design. Public opinion quarterly, 79(2),
pp.420-442.
Cleary, M., Horsfall, J. and Hayter, M., 2014. Data collection and sampling in qualitative
research: does size matter?. Journal of advanced nursing, 70(3), pp.473-475.
Jamshed, S., 2014. Qualitative research method-interviewing and observation. Journal of basic
and clinical pharmacy, 5(4), p.87.
Keusch, F., 2015. Why do people participate in Web surveys? Applying survey participation
theory to Internet survey data collection. Management review quarterly, 65(3), pp.183-216.
Levashina, J., Hartwell, C.J., Morgeson, F.P. and Campion, M.A., 2014. The structured
employment interview: Narrative and quantitative review of the research literature. Personnel
Psychology, 67(1), pp.241-293.