Mental Health Nursing Research


MentalHealth Nursing Research

Thearticle presents ideas concerning Mental Health, and the collectingof statistical data in this respect. The author determines that, todesign studies that will be used for inferential statistics, a lot ofpower to find effect sizes of an expected magnitude has to be inplace (Gaskin &amp Happel, 2013). The author analyzes the studies oftwo publications, one in InternationalJournal of Mental Health Nursing from volumes 19(2010)and the other InternationalJournal of Mental Health Nursing from volumes20(2011).The study of the effects each produced their ratings, and all typesof effects were infrequently interpreted. Researchers are thereforeadvice to carry out such studies by conducting power analysis whendesigning such studies because they are in a better position to servethe field of mental health nursing if they report and interpret theeffect size properly.


Oneof the main highlights of the study was the discussion about samplesizes. I am in agreement with the author concerning the sample sizes.They should not be too small or the research would risk producinginaccurate and inconclusive results. This would lead to an inaccurateinterpretation, a very bad result in the field of mental health sinceit would be placing the very patients we are trying to help in danger(Gaskin &amp Happel, 2013). Similarly, taking too large a samplesize causes the researchers to place too much importance on thestatistical significance that might in a real sense hold minimalclinical improvement. It also ends up using up useful resources thatwould have otherwise been used in better result oriented purposes. Tomake sure the proper size is used size samples and power analysisshould be conducted during the design phase of the studies.

Anothermain highlight of the article would be the work of the Mental HealthNursing researchers. Their work is to design studies in which it ishoped that statistically they will be significant findings. Howevermost of them disregard and do not appreciate the original intentionof significant testing others, on the other hand, do not interpretthe significance to mean importance. It is my opinion that theyshould be taught and advised to consider all the information at theirdisposal when interpreting the results of inferential tests (Gaskin &ampHappel, 2013).


Whenresearchers are conducting a good number of tests on particular setdata, they should use modified procedures and it is in every body`sbest interest for the researchers to remain at their best in givingopinions regarding the control of type1 error inflation. The best wayto achieve this would be through refraining from designing studieswhere very large numbers of tests are undertaken to makestatistically significant findings. The studies that focus onspecific relationships that help advance mental health nursingresearch better than what is a statistical fishing expedition.

Reviewersand researchers should always submit their manual scripts forpublication, the results of prior power analysis should be presentedfor every statistical test and codified within the guidelines forproper retrieval when the need arises. Reviewers, in turn, should notaccept any work in the form of manual scripts which is not presentedwith accompanying power calculations.

Itshould be one of the key importance`s to disregard tests that are notfocused on answering research questions. This helps to keep focus onthe important matters and saves on time that would have rather beenwasted in the handling of important issues. Some of those who shouldbe disregarded are those that check for differences betweenexperimental groups characteristics. This information is not regardedas important and should be excluded from the analysis, and thereviewers should be first in line in guiding the researchers to makesure they avoid such.


Withinmental health nursing research, there will be a wide range ofexpectations regarding the magnitude of the effect sizes whileconsidering different studies. Different studies have to be carriedout due to the wide number of studies being carried out. Studies haveto be proven or refuted with and with the use of effect sizes theamount of data produced is immense. A problem may arise when theresearchers lack access to prior power analysis calculations and lackof knowledge on what effect sizes they are powered to find. When theylack prior calculations, they are halted in their studies since theycan`t then make the necessary comparisons and fail to givewell-researched findings. When they lack the proper knowledge toconduct the studies, their results would be wrong in case wrongfindings are to be used, there would be a negative influence onmental health.

Researchersare strongly advised to adopt the suggestions within the research andreviewed papers to improve their study in design and analysis,presentation and findings. This may help them learn how to improvetheir submission reports and help them make better conclusivefindings. The proper conduction of magnitude of effect sizes andtheir result findings for the practice of mental clinic was ofsignificance to research findings.


Gaskin,J.C. &amp Happel, B. (2013). Power of mental health nursingresearch: A statistical analysis of studies in the InternationalJournal of Mental Health Nursing, 22 69-75.