Qualitative research approaches were used to study the prevalence of personality disorder. The researchers also employed phenomenology and ethnography approaches in the investigation. Participants were drawn from diverse areas and racial backgrounds in order to obtain more information.
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Innovative knowledge in the field of psychological studies was drawn from the research. The research showed that the essential structure of most mental conditions was invariant in both men and women. The study also showed substantial gender differences in the level of mental problem (Eaton, Keyes, Krueger, & Balsis, 2012). Notably, it was also found that gender differences were connected with common cerebral conditions. This discovery is very crucial in the field of psychology. Obviously, this research had a huge contribution to psychological studies. This is evident from the findings that proved effects of gender differences on the prevalence of mental conditions. Indicatively, psychologists and other professionals will apply these findings to explain the associations between mental conditions and gender.
Previous epidemiological explorations provided the foundation for this research. The studies present extensive links between gender differences and the prevalence rates of cerebral conditions. Previous theories showed that women were more likely to suffer mental conditions than men. Indeed, incidences of depression, social phobia, dysthymia, and panic were common among women. Conversely, antisocial individuality behaviors were more prevalent among men than women (Eaton et al., 2012). Therefore, the study confirms that mental conditions manifest differently in both genders. The research generates innovative knowledge, which advances psychological studies.
A representative sampling technique is applied in this study. The participants were drawn from general civilian groups and non-institutionalized American population. The participants enrolled in the study were aged eighteen years and older. The study oversampled African Americans and Hispanics (Eaton et al., 2012). The sampling approach used in the research was appropriate.
The researchers chose appropriate data collection techniques for this study. The researchers also used an interview schedule to detect mental problems among the participants (Leedy & Ormrod, 2011). Structured interview sessions were conducted by knowledgeable interviewers. The testing and retesting of diverse disorders on a life time basis confirmed the original findings.
The researchers used Mplus version 6 to complete the statistical breakdown. Analysis was accomplished using delta parameterization. Furthermore, WLSMV estimator enabled the researchers to give diagnostic variables definite components. Conversely, NESARC’s increment, assembling, and stratification variables formed the second component (Eaton et al., 2012). Technical statistical analysis also employed comparative fit index (CFI). RMSEA, Tucker Lewis Index (TLI), and other freely approximated variables revealed an excellent model fit. Assigning analysis figures enabled the researchers to reveal whether or not levels of mental sickness were associated with gender differences. Notably, the analysis technique was applicable in analyzing information generated through the methodology and study design.
Evidently, this research has revealed that prevalence of mental problems is different in men and women. The researchers tested different participants to determine their mental conditions. The studies were completed throughout their lifetime. The examinations generated evidence that women were likely to show greater suppressing conditions. Conversely, men exhibited greater proportions for all externalizing conditions (Eaton et al., 2012). The prevalence of distress, fear, and external characteristics were also measured in two genders. The measurements showed varying prevalence in men and women (Antony & Barlow, 2011). Conclusions from this research show that study objectives were achieved. The findings reveal that the research predicaments were also addressed.
Antony, M. M., & Barlow, D. H. (2011). Handbook of assessment and treatment planning for psychological disorders. New York, NY: Guilford Press.
Eaton, N., Keyes, K., Krueger, R., Balsis, S., and Markon, K. (2012). An Invariant Dimensional Liability Model of Gender Differences in Mental Disorder Prevalence: Evidence from a National Sample. Journal of Abnormal Psychology, Vol. 121, No. 1, 282–288.
Leedy, P. D., & Ormrod, J. E. (2011). Practical research: Planning and design (10th ed.). New Jersey, NJ: Pearson.