Qualitative Research Analysis: Design, Methods, Strengths, Weaknesses

This report analyzes a qualitative research study, focusing on the research design, sample selection, data collection methods, and data analysis plan. The study employs a cohort design and stratified sampling, utilizing interviews and open-ended questionnaires for data collection, and text analysis for data analysis. The report identifies strengths such as flexibility and first-hand data, and weaknesses including potential participant bias and logistical challenges. References are provided to support the analysis. The report offers a comprehensive overview of the research methodology, highlighting both its advantages and limitations, and it is designed to provide a clear understanding of the study's approach and its implications.

Running head: QUALITATIVE RESEARCH 1
Qualitative Research
Name of Author
Institution of Affiliation
Date of Submission

QUALITATIVE RESEARCH 2
Qualitative Research
Research
Design
Cohort Design: This type of design is used to carry out quantitative
research where data is collected from a given strata of the population
being researched upon. This design takes much longer for the full
realization of the studying being carried on, using this design one makes
on several occurrences within the subgroup of the population (Walsh et
al., 2015).
Sample
Selection
Stratified Sampling. This mode of sampling is best achieved when the
population is divided into sub groups with similar characteristic. In
these case women are grouped based on their age, race, marital status
and their level of income (Walsh et al., 2015). All aspects of the total
population is fully represented within various subgroups selected by the
interviewer.
Data
Collection
Methods
Interviews: It’s a one on one interaction between the interviewer and
interviewee by either being physically present or via telephone/video
calls. Data - is usually a first-hand information and highly-personalized

QUALITATIVE RESEARCH 3
data.
Open-Ended Questioners: It’s a method where data is collected by
giving out questions that are not biased to the respondent. Within this
case study the interviewer is able to interviewer is able to come up with
questions based on the interview carried on hence ensuring that both
subgroups can provide different opinion in regard to similar matter
(Nash, 2016).
Direct Observation; Data is collected by the interviewer by observing
the settings in which the subject is by either taking notes, photo taking
and video recording.
Plans for
Data
Analysis
Text Analysis: Data collected is being mined from its raw nature to a
soft finer data. Various mechanisms can be used to ensure that this data
is well analyzed by either using databases or software (Ouyang, Wu &
Huang, 2018). Data is captured based on each category so as to find a
clear information in regards to findings.
Strengths This design of collecting data is flexible and provides gradual results
over time and related changes in terms of social, cultural, political or
economic.
This tool can give out potential causes before the outcome thereby
avoiding the doubt on the effects and the cause.
Data collected is first-hand information and its more accurate compared
to other mode of collecting data. The interviewer creates a personal
bond with the interviewee.

QUALITATIVE RESEARCH 4
Weaknesse
s
The participants may lack knowledge towards the actual intention of the
study hence giving false information having in mind of financial aid
coming their way.
Hostility of some participant resulting to poor or no data collection from
the population (Jones, 2018).
Subgrouping the population can be a challenge in that all the participant
will want to fit in one particular group resulting to poor data collection.
Language barrier and accessibility to some place can be of great lose to
the interviewer.
Natural calamities and political instability can also hinder data
collection
Reference

QUALITATIVE RESEARCH 5
Jones, C. (2018). Restaurant food choices by moms: An exploratory study. Journal of
foodservice business research, 21(4), 377-393.
Nash, C. J. (2016). Queer Methods and Methodologies (Open Access): Intersecting Queer
Theories and Social Science Research. Routledge.
Ouyang, Q., Wu, C., & Huang, L. (2018). Methodologies, principles and prospects of applying
big data in safety science research. Safety science, 101, 60-71.
Walsh, A., Meagher-Stewart, D. & Macdonald, M. (2015). Persistent optimizing: How mothers
make food choices for their preschool children. Qualitative Health Research,
25(4), 527-539.