1. General Study Orientation
General study
orientation of this research study is quantitative. Research is based on the
results and finding of a survey conducted by the MEPS. Basically, research is
based on the primary quantitative data obtained from the interview.
2. Sample technique
The sampling
technique used in this research is probability sampling technique as each
person living in that area (selected geographical location by the researcher)
has equal probability to be selected as the research samples. While further in
probability sampling stratified sampling technique was used.
3. Sample Characteristics
Sampling is
based on demographic characteristics. Research samples are adult people between
the age ranges of 18-64. Total participants are 2358 males and females. In the
national survey, all participants were from the United States. Samples were
selected on the basis of their age and geographical location rather than
economic or social status.
4. Choice of research design strategy
The research design strategy is a descriptive
cross-sectional design strategy. In the research, participants were selected
and other research activities are done to provide the report of psychological
distress and usual practice characteristics.
5. The process of Instrument Development
In the
research study measuring instrument was developed through using 6 items Kessler
Psychological Distress Scale (Jones, et al., 2015). Pilot testing was
used to collect data on the basis of this 6 item Kessler scale. Anxiety and
other responses of participants were collected through this measurement
instrument.
6. Data Analysis and Interpretation
Stata 13.0 software was used for
statistical data analysis. In the Stata, the researcher used the multiple imputation
packages. The researcher also used the non-parametric statistical technique
chi-square test to analyze the collected responses of research samples (Jones, et
al., 2015).
Moreover, to collect information about the relationship between mental health
services use and type of usual provider researcher used multivariable logistic
model.
Other than analysis researcher
used tables to present data results. Researcher interpreted the data analysis
findings to through describing results and p-value of domains. Research findings
represent that construct validity was taken into consideration while analyzing
collected data. Researcher measured the construct validity through the use of a
single item of perceived health care quality (Jones, et al., 2015). Here 0-10 rating
scale was used in accordance to which 0 was representing the worst healthcare
possible.
7. Other Analysis
In the research paper graphs or
visual presentation of data was missing that can represent the response
tendency. In the research article researcher also did not present problem
statement or research objectives that could help out the readers in
understanding the overall research purpose and rationale for this pilot
research study.
References
Jones, A. L., Cochran, S. D., Leibowitz, A., Wells,
K. B., Kominski, G., & Mays, V. M. (2015). Usual Primary Care Provider
Characteristics of a Patient-Centered Medical Home and Mental Health Service
Use. Journal of general internal medicine, 30(12), 1828-1836.
Retrieved 02 16, 2019