Research Qualitative Study

This article discusses the case study method as a research process and compares it with other research methods. It analyzes a case study on empowerment and job satisfaction and provides a qualitative analysis of articles with reference to empowerment and job satisfaction.

Running head: RESEARCH QUALITATIVE ANALYSIS
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Research Qualitative Study
(Student’s Name)
(Institution’s Name)

RESEARCH QUALITATIVE ANALYSIS
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Introduction
Case study entails performing social science research involving real-life context
extensively. The method employs numerous variables, since multiple sources of evidence and
data is required to formulate response. Using case study enables the researcher to gather,
present and evaluate data fairly. Additionally, case studies allow involvement of practitioners
from across various sectors to benefit from the researcher experience. However, the case
studies focus should involve practical application of participation tools. Mostly, case studies
are used to examine contemporary events; where relevant comportments cannot be
manipulated. The researcher applies direct observation and interview methods to collect
relevant information.
Linking Evidence Collected and Conclusion
When formulating a case study, data is collected, presented, and fair analysis
performed to ensure the information flow enhances user understanding. Initially, the learner
explains the research topic following a rigorous methodological path. A key strong point of
the case study technique entails utilization of multiple sources and practises in the process of
collecting data. The investigator defines the indication to collect and the analysis methods to
apply in order to provide response for research questions. Information collected is generally
mostly qualitative; however it can also be numerical. Tools used to gather information can
include interviews, reviews, observation, and documentation assessment.
Throughout the design stage, the case study is well formulated to ensure concept
rationality and consistency. Constructing rationality entails use of appropriate methods for the
notions being analysed. Where, internal validity demonstrates certain situations that lead to

RESEARCH QUALITATIVE ANALYSIS
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various circumstances; thus requires application of various fragments of evidence from
numerous fields to disclose convergent positions of the analysis. This helps to institute a
series of indication onward and backward. On the other hand, peripheral validity reflects on
whether or not results can be generalized further than the immediate case; the more variants
in places, persons, and techniques a case study can endure and produce the same conclusions.
Methods such as cross-case analysis and within-case analysis along with writings
examination support external validity.
Reliability entails the constancy, correctness, and accuracy of measurement. Case
study plan make sure that the techniques applied are well defined and can be reiterated with
the same effects repeatedly. Since case study investigation produces huge volume of data
from numerous sources; methodical body of the information is essential to preclude the
investigator from becoming overawed by volume of data. It also prevents the investigator
from dropping the original study resolution and queries. Advance planning helps in handling
large volumes of information in a documented and logical fashion. Investigators formulate
databases to help in labelling, categorization, storage, and recovering of data for analysis.
Maintaining the connection between the subject and the indication is compulsory. The data
collected is entered into a database or physical storage, where information is displayed in
format of tables, graphs and pie charts. The data documents, categorizes, and cross-
references all indication collected so that relevant information can efficiently be sorted and
examined over the study course.
Comparing Case Study with other Research
Case study is a research method used for the purpose of naming, explaining, and
describing cases. Case study inquiries are applicable across numerous disciplines, since it
presents the most appropriate method to use in library analysis. In Library and Information

RESEARCH QUALITATIVE ANALYSIS
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Science studies, case study analysis has been applied to examine library school programs
operations. As every research method, case study practices involve explanatory and
description forms. However, the explanation phase is based on the applicable boundaries,
components, and methods used in the case study. There might be in the form of explanatory
case studies or descriptive case studies. Likewise, there might be explanatory experiments
and explanatory experiments.
Case studies are difficult since they commonly use several data sources, which
include various analyses within a research, and production of huge volume of information for
examination. Scholars from numerous fields utilize case study technique to formulate
theories, generate innovative theory, to argue or defy concepts, to explicate a condition, to
offer a foundation to apply resolutions to position, to discover, or to define an entity or
phenomenon. The benefits of a case study process are its capability to apply real-life,
modern, human conditions; and its general ease of access through transcribed reports. Case
study outcomes recount directly to the communal bibliophiles normal knowledge and
expedites an indulgent of multifaceted real-life conditions.
Components of a good Case Study
A great case study comprises of a problem, the application and the outcomes. The
introductory problem segment must carry a hit. This section has substantial impact to the
reader. The implementation process demonstrates how the case study resolved a critical issue.
Thus, the discussion must be supported with measurable results, figures, statistics, and tables
where applicable.
Issues to consider:

RESEARCH QUALITATIVE ANALYSIS
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 Are the selected persons willing to participate in the case study analysis process,
including phone consultations or answering queries by email?
 Does the data collected have a compelling background?
 Were there any obstacles or challenges faced during execution process?
 Can the case study demonstrate measurable results?
 How the case study does demonstrates the findings both in the body and conclusion.
When designing stages of case study examination, the investigator needs to identify
methodologies to apply by choosing single or multiple real-life cases. This helps to scrutinize
in complexity mechanisms and records collection methods to apply. When applying several
cases, each case is discussed as a distinct case. However, each case assumptions can be
utilized as evidence backing the entire study, but each case remains a single case.
Additionally, carefully examine the selections available from among numerous research tools
accessible in order to escalate the validity of the study. Lastly, careful insights at the point of
assortment also help erect restrictions around the case study.
Before starting a case study, it is advisable to start by selecting the appropriate
devices, in order to attain successful results. However, an individual having the choice, it is
wise to prefer the multiple case designs over the single case design. Possessing two cases can
commence to being blunt such as criticism and scepticism. Therefore, having more than two
cases will generate even stronger effect. On the event of such benefit having two least case
must be the goal of an individual.
The Case Study
The present assignment we analyse the relation between “Empowerment” and “Job
satisfaction.” MAXQDA software is used to analyse the data. Research articles related to
“Empowerment” and “Job Satisfaction” are analysed for the relationship. The articles were

RESEARCH QUALITATIVE ANALYSIS
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initially coded for “Empowerment” and “Job Satisfaction.” Job satisfaction was further sub-
coded into “competence.” Similarly Empowerment was coded into “organization and
“Challenges.”
The significant words were analysed for their correlation.
Job
satisfaction/
competence
Empowermen
t/ organization
Empowerme
nt/
challenges
Job
satisfaction
Empowerment
Job
satisfaction/
competence
0.201
(p=0.0479)
N=10
0.555
(P=0.0479)
N=10
0.079
(P=0.4144)
N=10
0.310 (P-
0.1918) N=10
Empowerment
/ organization
0.201
(p=0.2888)
N=10
-0.241
(P=0.2510)
N=10
-0.245
(p=0.2477)
N=10
-0.321
(p=0.1831)
N=10
Empowerment
/challenges
0.555
(p=0.0479)
N=10
-0.241
(p=0.2510)
N=10
-0.117
(p=0.3738)
N=10
0.025
(p=0.4726)
N=10
Job
satisfaction
0.079
(p=0.4144)
N=10
-0.245
(p=0.2477)
N=10
-0.117
(p=0.3738)
N=10
0.371
(p=0.1455)
N=10
Empowerment 0.310
(p=0.1918)
N=10
-0.321
(p=0.1831)
N=10
0.025
(P=0.4726)
N=10
0.371
(p=0.1455)
N=10

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From the analysis it is found that there is a moderate correlation between Empowerment
/challenges and Job Satisfaction / Competence (r = 0.555). The relation is statistically
significant (p = 0.0479). Further, there is negative correlation between empowerment /
organization and empowerment (r = -0.321). However, the relation is not statistically
significant. In addition, we also analysed the data for differences between Job satisfaction and
Empowerment. ANOVA was used to analyse the data. Job satisfaction was taken as the
dependent variable and Empowerment as the Factor.
Sum of
Squares
d
f
Mean
Square
F P value Eta
square
Between
groups
14,030.400 9 1,558.933 0.00 0.000 1.00
0
Within
groups
0.00 0 0.00
Total 14,030.400 9
Homogeneit
y of variance
Levene 0.00
P value 0.00
The analysis showed that there is significant differences between Job satisfaction and
Empowerment, p-value = 0.000 at 0.05 level of significance. Cronbach’s alpha was done to
analyse the reliability of the codes.

RESEARCH QUALITATIVE ANALYSIS
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N Item
r.
Mean scale w/o
item
Std. dev. Scale
w/o item
Corrected Item
Scale corr.
Alpha w/o item
Job satisfaction/
competence
174.10 86.99 0.304 0.240
Empowerment/
organization
139.80 92.17 -0.326 0.366
Empowerment/
challenges
151.20 89.49 -0.014 0.291
Job satisfaction 88.40 67.97 0.341 -0.023
Empowerment 81.50 39.86 -0.099
The reliability can be increased by removing certain variables.
Qualitative research is used to gain an insight into opinions, causes and motivations in social
and natural sciences. The method of data collection in qualitative research is either
unstructured or semi-structured. The research method includes analysis of interviews,
observations and group discussions. To analyse the data in qualitative research non-numerical
data is used. In general we analyse the relationship between the variables in qualitative
research.
Conclusion
In the present assignment we have studied the case study method as a research
process. We also compared the case study method with other research methods. We analysed
a case study on empowerment and job satisfaction. A qualitative analysis of articles with
reference to empowerment and job satisfaction was also prepared.

RESEARCH QUALITATIVE ANALYSIS
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