{"id":11209,"date":"2024-03-04T14:17:42","date_gmt":"2024-03-04T14:17:42","guid":{"rendered":"https:\/\/nurs.essaybishops.com\/mental-health-differences-for-men-and-women-in-full-time-jobs\/"},"modified":"2024-03-04T14:17:42","modified_gmt":"2024-03-04T14:17:42","slug":"mental-health-differences-for-men-and-women-in-full-time-jobs","status":"publish","type":"post","link":"https:\/\/homeworkacetutors.com\/nursing\/mental-health-differences-for-men-and-women-in-full-time-jobs\/","title":{"rendered":"Mental Health Differences for Men and Women in Full-time Jobs"},"content":{"rendered":"
\n
\n

\nMEN AND WOMEN WHO ARE IN FULL-TIME JOBS DIFFER IN THEIR LEVELS OF MENTAL HEALTH.<\/strong>\n<\/p>\n

\n\u00a0<\/strong>\n<\/p>\n

\nEXECUTIVE SUMMARY <\/strong>\n<\/p>\n

\nThe purpose of this report is to test the hypothesis that there is a difference in levels of mental health in both, men and women, who are in full-time employment.\n<\/p>\n

\nFor this research we used population sample of 58 people, 2 male and 56 females. The chi-test was applied to test the theory. Due to limited number of male in this study the findings are not conclusive and the result for this research report is invalid.\n<\/p>\n

\nA background research on the issues of mental health have provided some findings that could have been tested against\u00a0 the hypothesis. On the basis of the available research some recommendations for future actions have been identified.\n<\/p>\n

\n\u00a0<\/strong>\n<\/p>\n

\nINTRODUCTION<\/strong>\n<\/p>\n

\nMental health problems will affect both women and men, but not in the same way. It has been reported that at any given time, 10% of mothers and 6% of fathers in the UK have mental health issues (\u2018Mental health statistics\u2019, 2015).\n<\/p>\n

\nIt is difficult to measure the significance that work has on a person\u2019s self-esteem, social recognition or their identity, although many health professionals make the link between the workplace environment and the impact it has on individual\u2019s mental state.\u00a0 The place of work is one of the key contributing factors that affect our health and mental wellbeing.\n<\/p>\n

\nSocial pressures put women\u2019s mental health problems at a greater risk than men.\n<\/p>\n

\nThe sample population will test the hypothesis, that men and women in full-time employment differ in their level of mental health.\n<\/p>\n

\nPart-time workers are beyond the scope of this project.\n<\/p>\n

\n\u00a0<\/strong>\n<\/p>\n

\nLITERATURE SURVEY<\/strong>\n<\/p>\n

\nThe research paper which I consulted my finding on was published in November 2018, by The Work Foundation \u201cMen\u2019s mental health and work. The case for a gendered approach to policy\u201d. The review filled out gaps in my own research.\n<\/p>\n

\nThe Work Foundation takes the lead when it comes to provide policy advice and analysis in the UK. Through its comprehensive research programmes aiming at organisations, present and future trends, countries, cities and economies they are able to provide an evidence-based recommendations.\n<\/p>\n

\n\u00a0<\/strong>\n<\/p>\n

\nMETHODS<\/strong>\n<\/p>\n

\nContext<\/u><\/strong>\n<\/p>\n

\nThe data is part of a larger dataset collected by researchers at Birkbeck College to investigate the effects of having a young family on the working lives of parents.\u00a0\u00a0\n<\/p>\n

\nProcedure<\/u><\/strong>\n<\/p>\n

\nParents and parents-to-be were contacted via workplaces and nurseries and invited to complete a paper questionnaire.\n<\/p>\n

\nEthics<\/u><\/strong>\n<\/p>\n

\nThe participants were informed of the purpose of the study and assured that their responses would be confidential and they could choose to withdraw from the project at any time.\u00a0 Opportunities were provided for the participants to ask questions about the study and receive feedback on the findings.\n<\/p>\n

\nMeasures used in the study<\/u><\/strong>\n<\/p>\n

\nWe used 12 general health questions and scoring method from 1 to 4, in which high score indicated worse mental health ( Appendix 1). Sample size of full-time works in this research was in total 58. In that sample we had 2 men and 56 women. 10 of the 56 women reported missing data, which put the number of women tested in this report to 46.\n<\/p>\n

\nWe used Chi-test to conduct this research.\n<\/p>\n

\n\u00a0<\/strong>\n<\/p>\n

\nRESULTS<\/strong>\n<\/p>\n

\nThe results from the population sample where organised into a table of raw data shown in Appendix 2. Summery has been given in Table 1.\n<\/p>\n

\n\u00a0<\/strong>\n<\/p>\n

\nTable 1.<\/strong> Means and standard deviation of mental health levels for male and female in full-time employment\n<\/p>\n\n\n\n\n
\n

\n\u00a0<\/strong>\n<\/p>\n<\/td>\n

\n

\nMale<\/strong>\n<\/p>\n<\/td>\n

\n

\nFemale<\/strong>\n<\/p>\n<\/td>\n<\/tr>\n

\n

\nMean GHO<\/strong>\n<\/p>\n<\/td>\n

\n

\n2.500<\/strong>\n<\/p>\n<\/td>\n

\n

\n2.5023<\/strong>\n<\/p>\n<\/td>\n<\/tr>\n

\n

\nSD GHO<\/strong>\n<\/p>\n<\/td>\n

\n

\n0.23570<\/strong>\n<\/p>\n<\/td>\n

\n

\n0.38144<\/strong>\n<\/p>\n<\/td>\n<\/tr>\n<\/table>\n

\n*GHO- mental health data score (General Health Questionnaire-Appendix 1)<\/em>\n<\/p>\n

\nDue to limited sample size of men in this study (2 out of 48) the results are inconclusive.\n<\/p>\n

\n\u00a0<\/strong>\n<\/p>\n

\nDISCUSSION<\/strong>\n<\/p>\n

\nMen in comparisons to women, are less likely to ask for professional help or discuss they concerns when it comes to mental health issues. They are also more likely to partake in unhealthy behaviours from alcohol and drug abuse, to more tragic affects ending in suicide.\u00a0 Women, on the other hand, are still expected to be full-time mother and primary caregivers even if they work outside of the house.\n<\/p>\n

\nThe roles, responsibilities, and expectations that both genders carry in professional life, are one of the major mental health factor that can contribute to common conditions such as anxiety, mild depression or stress, to more severe and long-term mental illnesses.\u00a0\u00a0\n<\/p>\n

\nThe difference how mental-health is experienced and managed, by male and female, will required modification in approach when providing the needed support. One of the big challenges when addressing men\u2019s mental illness comes down to being criminalised due to substance abuse, alcohol and\/or drug, and often accompanied by violence.\n<\/p>\n

\nThe recommendations below draw some examples as to how we can promote and improve on mental health approach and promote de-stigmatisation of the mental ill issue.\n<\/p>\n

\nCONCLUSION<\/strong>\n<\/p>\n

\nNew research is needed to fully understand the reason for disproportional effects of suicide on men and women in the UK. Such evidence-based research would be beneficial and it can help high-risk groups to be identified and supported as needed.\n<\/p>\n

\nThere is also lack of differentiation in support provided by gender. As both sexes need a different approach to the issue of mental health this should be priorities to fully understand the best possible outcome by gender.\n<\/p>\n

\n\u00a0<\/em>\n<\/p>\n

\nREFERENCES<\/strong>\n<\/p>\n

    \n
  1. \nbitcmental_health_at_work_report-2017.pdf. (n.d.). Retrieved from https:\/\/wellbeing.bitc.org.uk\/system\/files\/research\/bitcmental_health_at_work_report-2017.pdf\n<\/li>\n
  2. \nmens_mental_health_work.pdf. (n.d.). Retrieved from http:\/\/www.theworkfoundation.com\/wp-content\/uploads\/2016\/10\/mens_mental_health_work.pdf\n<\/li>\n
  3. \nMental health statistics: men and women. (2015, October 26). Retrieved 20 February 2019, from https:\/\/www.mentalhealth.org.uk\/statistics\/mental-health-statistics-men-and-women\n<\/li>\n<\/ol>\n

    \nAPPENDICES<\/strong>\n<\/p>\n

    \nAPPENDIX 1<\/u><\/strong>\n<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
    \n

    \nGeneral Health Questionnaire 12 Items and Scoring*\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \nHave you recently\u2026..\n<\/p>\n<\/td>\n

    		\n

    \n1\n<\/p>\n<\/td>\n

    		\n

    \n2\n<\/p>\n<\/td>\n

    		\n

    \n3\n<\/p>\n<\/td>\n

    		\n

    \n4\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \n1 \u2013\n<\/p>\n<\/td>\n

    		\n

    \nbeen able to concentrate on whatever you\u2019re doing?\n<\/p>\n<\/td>\n

    		\n

    \nMore than usual\n<\/p>\n<\/td>\n

    		\n

    \nSame\n<\/p>\n<\/td>\n

    		\n

    \nLess than usual\n<\/p>\n<\/td>\n

    		\n

    \nMuch less than usual\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \n2 \u2013\n<\/p>\n<\/td>\n

    		\n

    \nlost much sleep over worry?\n<\/p>\n<\/td>\n

    		\n

    \nMuch less than usual\n<\/p>\n<\/td>\n

    		\n

    \nLess than usual\n<\/p>\n<\/td>\n

    		\n

    \nSame\n<\/p>\n<\/td>\n

    		\n

    \nMore than usual\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \n3 \u2013\n<\/p>\n<\/td>\n

    		\n

    \nfelt that you are playing a useful part in things?\n<\/p>\n<\/td>\n

    		\n

    \nMore than usual\n<\/p>\n<\/td>\n

    		\n

    \nSame\n<\/p>\n<\/td>\n

    		\n

    \nLess than usual\n<\/p>\n<\/td>\n

    		\n

    \nMuch less than usual\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \n4 \u2013\n<\/p>\n<\/td>\n

    		\n

    \nfelt capable of making decisions about things?\n<\/p>\n<\/td>\n

    		\n

    \nMore than usual\n<\/p>\n<\/td>\n

    		\n

    \nSame\n<\/p>\n<\/td>\n

    		\n

    \nLess than usual\n<\/p>\n<\/td>\n

    		\n

    \nMuch less than usual\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \n5 \u2013\n<\/p>\n<\/td>\n

    		\n

    \nfelt constantly under strain?\n<\/p>\n<\/td>\n

    		\n

    \nMuch less than usual\n<\/p>\n<\/td>\n

    		\n

    \nLess than usual\n<\/p>\n<\/td>\n

    		\n

    \nSame\n<\/p>\n<\/td>\n

    		\n

    \nMore than usual\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \n6 \u2013\n<\/p>\n<\/td>\n

    		\n

    \nfelt you couldn\u2019t overcome your difficulties?\n<\/p>\n<\/td>\n

    		\n

    \nMuch less than usual\n<\/p>\n<\/td>\n

    		\n

    \nLess than usual\n<\/p>\n<\/td>\n

    		\n

    \nSame\n<\/p>\n<\/td>\n

    		\n

    \nMore than usual\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \n7\n<\/p>\n<\/td>\n

    		\n

    \nbeen able to enjoy your normal day\n<\/p>\n<\/td>\n

    		\n

    \nMore than usual\n<\/p>\n<\/td>\n

    		\n

    \nSame\n<\/p>\n<\/td>\n

    		\n

    \nLess than usual\n<\/p>\n<\/td>\n

    		\n

    \nMuch less than usual\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \n8 \u2013\n<\/p>\n<\/td>\n

    		\n

    \nbeen able to face up to your problems?\n<\/p>\n<\/td>\n

    		\n

    \nMore than usual\n<\/p>\n<\/td>\n

    		\n

    \nSame\n<\/p>\n<\/td>\n

    		\n

    \nLess than usual\n<\/p>\n<\/td>\n

    		\n

    \nMuch less than usual\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \n9 \u2013\n<\/p>\n<\/td>\n

    		\n

    \nbeen feeling unhappy or depressed?\n<\/p>\n<\/td>\n

    		\n

    \nMuch less than usual\n<\/p>\n<\/td>\n

    		\n

    \nLess than usual\n<\/p>\n<\/td>\n

    		\n

    \nSame\n<\/p>\n<\/td>\n

    		\n

    \nMore than usual\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \n10 \u2013\n<\/p>\n<\/td>\n

    		\n

    \nbeen losing confidence in yourself?\n<\/p>\n<\/td>\n

    		\n

    \nMuch less than usual\n<\/p>\n<\/td>\n

    		\n

    \nLess than usual\n<\/p>\n<\/td>\n

    		\n

    \nSame\n<\/p>\n<\/td>\n

    		\n

    \nMore than usual\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \n11 \u2013\n<\/p>\n<\/td>\n

    		\n

    \nbeen thinking of yourself as a worthless person?\n<\/p>\n<\/td>\n

    		\n

    \nMuch less than usual\n<\/p>\n<\/td>\n

    		\n

    \nLess than usual\n<\/p>\n<\/td>\n

    		\n

    \nSame\n<\/p>\n<\/td>\n

    		\n

    \nMore than usual\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \n12 \u2013\n<\/p>\n<\/td>\n

    		\n

    \nbeen feeling reasonably happy all things considered?\n<\/p>\n<\/td>\n

    		\n

    \nMore than usual\n<\/p>\n<\/td>\n

    		\n

    \nSame\n<\/p>\n<\/td>\n

    		\n

    \nLess than usual\n<\/p>\n<\/td>\n

    		\n

    \nMuch less than usual\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \n*This is not a typical way of scoring the GHQ12, but it is a method that is useful for this exercise\n<\/p>\n

    \n** In this data set, high scores indicate worse mental health\n<\/p>\n<\/td>\n<\/tr>\n<\/table>\n

    \nAPPENDIX 2<\/u><\/strong>\n<\/p>\n\n\n\n\n\n\n\n\n\n
    \n

    \nCase Processing Summary<\/strong>\n<\/p>\n<\/td>\n<\/tr>\n

    \n<\/td>\n\n

    \nGender\n<\/p>\n<\/td>\n

    		\n

    \nCases\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \nValid\n<\/p>\n<\/td>\n

    		\n

    \nMissing\n<\/p>\n<\/td>\n

    		\n

    \nTotal\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \nN\n<\/p>\n<\/td>\n

    		\n

    \nPercent\n<\/p>\n<\/td>\n

    		\n

    \nN\n<\/p>\n<\/td>\n

    		\n

    \nPercent\n<\/p>\n<\/td>\n

    		\n

    \nN\n<\/p>\n<\/td>\n

    		\n

    \nPercent\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \nGHO\n<\/p>\n<\/td>\n

    		\n

    \nmale\n<\/p>\n<\/td>\n

    		\n

    \n2\n<\/p>\n<\/td>\n

    		\n

    \n100.0%\n<\/p>\n<\/td>\n

    		\n

    \n0\n<\/p>\n<\/td>\n

    		\n

    \n0.0%\n<\/p>\n<\/td>\n

    		\n

    \n2\n<\/p>\n<\/td>\n

    		\n

    \n100.0%\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \nfemale\n<\/p>\n<\/td>\n

    		\n

    \n46\n<\/p>\n<\/td>\n

    		\n

    \n82.1%\n<\/p>\n<\/td>\n

    		\n

    \n10\n<\/p>\n<\/td>\n

    		\n

    \n17.9%\n<\/p>\n<\/td>\n

    		\n

    \n56\n<\/p>\n<\/td>\n

    		\n

    \n100.0%\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \nPTvsFT = 1 (FILTER)\n<\/p>\n<\/td>\n

    		\n

    \nmale\n<\/p>\n<\/td>\n

    		\n

    \n2\n<\/p>\n<\/td>\n

    		\n

    \n100.0%\n<\/p>\n<\/td>\n

    		\n

    \n0\n<\/p>\n<\/td>\n

    		\n

    \n0.0%\n<\/p>\n<\/td>\n

    		\n

    \n2\n<\/p>\n<\/td>\n

    		\n

    \n100.0%\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \nfemale\n<\/p>\n<\/td>\n

    		\n

    \n46\n<\/p>\n<\/td>\n

    		\n

    \n82.1%\n<\/p>\n<\/td>\n

    		\n

    \n10\n<\/p>\n<\/td>\n

    		\n

    \n17.9%\n<\/p>\n<\/td>\n

    		\n

    \n56\n<\/p>\n<\/td>\n

    		\n

    \n100.0%\n<\/p>\n<\/td>\n<\/tr>\n<\/table>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
    \n

    \nDescriptives<\/strong>\n<\/p>\n<\/td>\n<\/tr>\n

    \n<\/td>\n\n

    \nGender\n<\/p>\n<\/td>\n

    		\n

    \nStatistic\n<\/p>\n<\/td>\n

    		\n

    \nStd. Error\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \nGHO\n<\/p>\n<\/td>\n

    		\n

    \nmale\n<\/p>\n<\/td>\n

    		\n

    \nMean\n<\/p>\n<\/td>\n

    		\n

    \n2.5000\n<\/p>\n<\/td>\n

    		\n

    \n.16667\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \n95% Confidence Interval for Mean\n<\/p>\n<\/td>\n

    		\n

    \nLower Bound\n<\/p>\n<\/td>\n

    		\n

    \n.3823\n<\/p>\n<\/td>\n

    		\n<\/td>\n<\/tr>\n
    \n

    \nUpper Bound\n<\/p>\n<\/td>\n

    		\n

    \n4.6177\n<\/p>\n<\/td>\n

    		\n<\/td>\n<\/tr>\n
    \n

    \n5% Trimmed Mean\n<\/p>\n<\/td>\n

    		\n

    \n.\n<\/p>\n<\/td>\n

    		\n<\/td>\n<\/tr>\n
    \n

    \nMedian\n<\/p>\n<\/td>\n

    		\n

    \n2.5000\n<\/p>\n<\/td>\n

    		\n<\/td>\n<\/tr>\n
    \n

    \nVariance\n<\/p>\n<\/td>\n

    		\n

    \n.056\n<\/p>\n<\/td>\n

    		\n<\/td>\n<\/tr>\n
    \n

    \nStd. Deviation\n<\/p>\n<\/td>\n

    		\n

    \n.23570\n<\/p>\n<\/td>\n

    		\n<\/td>\n<\/tr>\n
    \n

    \nMinimum\n<\/p>\n<\/td>\n

    		\n

    \n2.33\n<\/p>\n<\/td>\n

    		\n<\/td>\n<\/tr>\n
    \n

    \nMaximum\n<\/p>\n<\/td>\n

    		\n

    \n2.67\n<\/p>\n<\/td>\n

    		\n<\/td>\n<\/tr>\n
    \n

    \nRange\n<\/p>\n<\/td>\n

    		\n

    \n.33\n<\/p>\n<\/td>\n

    		\n<\/td>\n<\/tr>\n
    \n

    \nInterquartile Range\n<\/p>\n<\/td>\n

    		\n

    \n.\n<\/p>\n<\/td>\n

    		\n<\/td>\n<\/tr>\n
    \n

    \nSkewness\n<\/p>\n<\/td>\n

    		\n

    \n.\n<\/p>\n<\/td>\n

    		\n

    \n.\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \nKurtosis\n<\/p>\n<\/td>\n

    		\n

    \n.\n<\/p>\n<\/td>\n

    		\n

    \n.\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \nfemale\n<\/p>\n<\/td>\n

    		\n

    \nMean\n<\/p>\n<\/td>\n

    		\n

    \n2.5023\n<\/p>\n<\/td>\n

    		\n

    \n.05624\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \n95% Confidence Interval for Mean\n<\/p>\n<\/td>\n

    		\n

    \nLower Bound\n<\/p>\n<\/td>\n

    		\n

    \n2.3890\n<\/p>\n<\/td>\n

    		\n<\/td>\n<\/tr>\n
    \n

    \nUpper Bound\n<\/p>\n<\/td>\n

    		\n

    \n2.6156\n<\/p>\n<\/td>\n

    		\n<\/td>\n<\/tr>\n
    \n

    \n5% Trimmed Mean\n<\/p>\n<\/td>\n

    		\n

    \n2.5120\n<\/p>\n<\/td>\n

    		\n<\/td>\n<\/tr>\n
    \n

    \nMedian\n<\/p>\n<\/td>\n

    		\n

    \n2.4773\n<\/p>\n<\/td>\n

    		\n<\/td>\n<\/tr>\n
    \n

    \nVariance\n<\/p>\n<\/td>\n

    		\n

    \n.146\n<\/p>\n<\/td>\n

    		\n<\/td>\n<\/tr>\n
    \n

    \nStd. Deviation\n<\/p>\n<\/td>\n

    		\n

    \n.38144\n<\/p>\n<\/td>\n

    		\n<\/td>\n<\/tr>\n
    \n

    \nMinimum\n<\/p>\n<\/td>\n

    		\n

    \n1.25\n<\/p>\n<\/td>\n

    		\n<\/td>\n<\/tr>\n
    \n

    \nMaximum\n<\/p>\n<\/td>\n

    		\n

    \n3.42\n<\/p>\n<\/td>\n

    		\n<\/td>\n<\/tr>\n
    \n

    \nRange\n<\/p>\n<\/td>\n

    		\n

    \n2.17\n<\/p>\n<\/td>\n

    		\n<\/td>\n<\/tr>\n
    \n

    \nInterquartile Range\n<\/p>\n<\/td>\n

    		\n

    \n.52\n<\/p>\n<\/td>\n

    		\n<\/td>\n<\/tr>\n
    \n

    \nSkewness\n<\/p>\n<\/td>\n

    		\n

    \n-.359\n<\/p>\n<\/td>\n

    		\n

    \n.350\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \nKurtosis\n<\/p>\n<\/td>\n

    		\n

    \n1.673\n<\/p>\n<\/td>\n

    		\n

    \n.688\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \nPTvsFT = 1 (FILTER)\n<\/p>\n<\/td>\n

    		\n

    \nmale\n<\/p>\n<\/td>\n

    		\n

    \nMean\n<\/p>\n<\/td>\n

    		\n

    \n1.00\n<\/p>\n<\/td>\n

    		\n

    \n.000\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \n95% Confidence Interval for Mean\n<\/p>\n<\/td>\n

    		\n

    \nLower Bound\n<\/p>\n<\/td>\n

    		\n

    \n1.00\n<\/p>\n<\/td>\n

    		\n<\/td>\n<\/tr>\n
    \n

    \nUpper Bound\n<\/p>\n<\/td>\n

    		\n

    \n1.00\n<\/p>\n<\/td>\n

    		\n<\/td>\n<\/tr>\n
    \n

    \n5% Trimmed Mean\n<\/p>\n<\/td>\n

    		\n

    \n1.00\n<\/p>\n<\/td>\n

    		\n<\/td>\n<\/tr>\n
    \n

    \nMedian\n<\/p>\n<\/td>\n

    		\n

    \n1.00\n<\/p>\n<\/td>\n

    		\n<\/td>\n<\/tr>\n
    \n

    \nVariance\n<\/p>\n<\/td>\n

    		\n

    \n.000\n<\/p>\n<\/td>\n

    		\n<\/td>\n<\/tr>\n
    \n

    \nStd. Deviation\n<\/p>\n<\/td>\n

    		\n

    \n.000\n<\/p>\n<\/td>\n

    		\n<\/td>\n<\/tr>\n
    \n

    \nMinimum\n<\/p>\n<\/td>\n

    		\n

    \n1\n<\/p>\n<\/td>\n

    		\n<\/td>\n<\/tr>\n
    \n

    \nMaximum\n<\/p>\n<\/td>\n

    		\n

    \n1\n<\/p>\n<\/td>\n

    		\n<\/td>\n<\/tr>\n
    \n

    \nRange\n<\/p>\n<\/td>\n

    		\n

    \n0\n<\/p>\n<\/td>\n

    		\n<\/td>\n<\/tr>\n
    \n

    \nInterquartile Range\n<\/p>\n<\/td>\n

    		\n

    \n0\n<\/p>\n<\/td>\n

    		\n<\/td>\n<\/tr>\n
    \n

    \n Skewness\n<\/p>\n<\/td>\n

    		\n

    \n.\n<\/p>\n<\/td>\n

    		\n

    \n.\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \nKurtosis\n<\/p>\n<\/td>\n

    		\n

    \n.\n<\/p>\n<\/td>\n

    		\n

    \n.\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \nfemale\n<\/p>\n<\/td>\n

    		\n

    \nMean\n<\/p>\n<\/td>\n

    		\n

    \n1.00\n<\/p>\n<\/td>\n

    		\n

    \n.000\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \n95% Confidence Interval for Mean\n<\/p>\n<\/td>\n

    		\n

    \nLower Bound\n<\/p>\n<\/td>\n

    		\n

    \n1.00\n<\/p>\n<\/td>\n

    		\n<\/td>\n<\/tr>\n
    \n

    \nUpper Bound\n<\/p>\n<\/td>\n

    		\n

    \n1.00\n<\/p>\n<\/td>\n

    		\n<\/td>\n<\/tr>\n
    \n

    \n5% Trimmed Mean\n<\/p>\n<\/td>\n

    		\n

    \n1.00\n<\/p>\n<\/td>\n

    		\n<\/td>\n<\/tr>\n
    \n

    \nMedian\n<\/p>\n<\/td>\n

    		\n

    \n1.00\n<\/p>\n<\/td>\n

    		\n<\/td>\n<\/tr>\n
    \n

    \nVariance\n<\/p>\n<\/td>\n

    		\n

    \n.000\n<\/p>\n<\/td>\n

    		\n<\/td>\n<\/tr>\n
    \n

    \nStd. Deviation\n<\/p>\n<\/td>\n

    		\n

    \n.000\n<\/p>\n<\/td>\n

    		\n<\/td>\n<\/tr>\n
    \n

    \nMinimum\n<\/p>\n<\/td>\n

    		\n

    \n1\n<\/p>\n<\/td>\n

    		\n<\/td>\n<\/tr>\n
    \n

    \nMaximum\n<\/p>\n<\/td>\n

    		\n

    \n1\n<\/p>\n<\/td>\n

    		\n<\/td>\n<\/tr>\n
    \n

    \nRange\n<\/p>\n<\/td>\n

    		\n

    \n0\n<\/p>\n<\/td>\n

    		\n<\/td>\n<\/tr>\n
    \n

    \nInterquartile Range\n<\/p>\n<\/td>\n

    		\n

    \n0\n<\/p>\n<\/td>\n

    		\n<\/td>\n<\/tr>\n
    \n

    \nSkewness\n<\/p>\n<\/td>\n

    		\n

    \n.\n<\/p>\n<\/td>\n

    		\n

    \n.\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \nKurtosis\n<\/p>\n<\/td>\n

    		\n

    \n.\n<\/p>\n<\/td>\n

    		\n

    \n.\n<\/p>\n<\/td>\n<\/tr>\n<\/table>\n

    \nAPPENDIX 3<\/u><\/strong>\n<\/p>\n\n\n\n\n\n\n
    \n

    \nCase Processing Summary<\/strong>\n<\/p>\n<\/td>\n<\/tr>\n

    \n<\/td>\n\n

    \nCases\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \nValid\n<\/p>\n<\/td>\n

    		\n

    \nMissing\n<\/p>\n<\/td>\n

    		\n

    \nTotal\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \nN\n<\/p>\n<\/td>\n

    		\n

    \nPercent\n<\/p>\n<\/td>\n

    		\n

    \nN\n<\/p>\n<\/td>\n

    		\n

    \nPercent\n<\/p>\n<\/td>\n

    		\n

    \nN\n<\/p>\n<\/td>\n

    		\n

    \nPercent\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \nGHO * Gender\n<\/p>\n<\/td>\n

    		\n

    \n48\n<\/p>\n<\/td>\n

    		\n

    \n82.8%\n<\/p>\n<\/td>\n

    		\n

    \n10\n<\/p>\n<\/td>\n

    		\n

    \n17.2%\n<\/p>\n<\/td>\n

    		\n

    \n58\n<\/p>\n<\/td>\n

    		\n

    \n100.0%\n<\/p>\n<\/td>\n<\/tr>\n<\/table>\n\n\n\n\n\n\n\n
    \n

    \nChi-Square Tests<\/strong>\n<\/p>\n<\/td>\n<\/tr>\n

    \n<\/td>\n\n

    \nValue\n<\/p>\n<\/td>\n

    		\n

    \ndf\n<\/p>\n<\/td>\n

    		\n

    \nAsymptotic Significance (2-sided)\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \nPearson Chi-Square\n<\/p>\n<\/td>\n

    		\n

    \n7.930a<\/sup>\n<\/p>\n<\/td>\n

    		\n

    \n18\n<\/p>\n<\/td>\n

    		\n

    \n.980\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \nLikelihood Ratio\n<\/p>\n<\/td>\n

    		\n

    \n6.620\n<\/p>\n<\/td>\n

    		\n

    \n18\n<\/p>\n<\/td>\n

    		\n

    \n.993\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \nLinear-by-Linear Association\n<\/p>\n<\/td>\n

    		\n

    \n.000\n<\/p>\n<\/td>\n

    		\n

    \n1\n<\/p>\n<\/td>\n

    		\n

    \n.993\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \nN of Valid Cases\n<\/p>\n<\/td>\n

    		\n

    \n48\n<\/p>\n<\/td>\n

    		\n<\/td>\n\n<\/td>\n<\/tr>\n<\/table>\n\n\n
    \n

    \na. 38 cells (100.0%) have expected count less than 5. The minimum expected count is .04.\n<\/p>\n<\/td>\n<\/tr>\n<\/table>\n\n\n\n\n\n\n\n
    \n

    \nSymmetric Measures<\/strong>\n<\/p>\n<\/td>\n<\/tr>\n

    \n<\/td>\n\n

    \nValue\n<\/p>\n<\/td>\n

    		\n

    \nAsymptotic Standard Errora<\/sup>\n<\/p>\n<\/td>\n

    		\n

    \nApproximate Tb<\/sup>\n<\/p>\n<\/td>\n

    		\n

    \nApproximate Significance\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \nNominal by Nominal\n<\/p>\n<\/td>\n

    		\n

    \nContingency Coefficient\n<\/p>\n<\/td>\n

    		\n

    \n.377\n<\/p>\n<\/td>\n

    		\n<\/td>\n\n<\/td>\n\n

    \n.980\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \nInterval by Interval\n<\/p>\n<\/td>\n

    		\n

    \nPearson\u2019s R\n<\/p>\n<\/td>\n

    		\n

    \n.001\n<\/p>\n<\/td>\n

    		\n

    \n.070\n<\/p>\n<\/td>\n

    		\n

    \n.008\n<\/p>\n<\/td>\n

    		\n

    \n.993c<\/sup>\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \nOrdinal by Ordinal\n<\/p>\n<\/td>\n

    		\n

    \nSpearman Correlation\n<\/p>\n<\/td>\n

    		\n

    \n-.008\n<\/p>\n<\/td>\n

    		\n

    \n.099\n<\/p>\n<\/td>\n

    		\n

    \n-.051\n<\/p>\n<\/td>\n

    		\n

    \n.959c<\/sup>\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \nN of Valid Cases\n<\/p>\n<\/td>\n

    		\n

    \n48\n<\/p>\n<\/td>\n

    		\n<\/td>\n\n<\/td>\n\n<\/td>\n<\/tr>\n<\/table>\n\n\n\n\n
    \n

    \na. Not assuming the null hypothesis.\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \nb. Using the asymptotic standard error assuming the null hypothesis.\n<\/p>\n<\/td>\n<\/tr>\n

    \n

    \nc. Based on normal approximation.\n<\/p>\n<\/td>\n<\/tr>\n<\/table>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

    MEN AND WOMEN WHO ARE IN FULL-TIME JOBS DIFFER IN THEIR LEVELS OF MENTAL HEALTH. \u00a0 EXECUTIVE SUMMARY The purpose of this report is to\u2026<\/p>\n","protected":false},"author":5,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3576,3575,3568,3178,3578,3577,3567],"tags":[3582,3573,3569,3570,3580,3581,1998,3572,2490,3574,3584,3585,3586,3583,3571,3579],"class_list":["post-11209","post","type-post","status-publish","format-standard","hentry","category-health-and-social-care-essay","category-healthcare-essay-service","category-nurscribe","category-nursing-discussion-post-example-essay","category-sample-social-care-research-papers","category-social-work-essay-examples","category-us","tag-health-and-social-care-essay","tag-healthcare-essay-service","tag-help-with-nursing-discussion-board","tag-i-need-help-writing-a-nursing-essay","tag-nurscribe","tag-nursing-discussion-post-example-essay","tag-nursing-paper","tag-nursing-study-bay","tag-online-nursing-papers","tag-research-essay-pro-writers","tag-sample-social-care-research-papers","tag-social-care-work-essays","tag-social-work-assignment-help","tag-social-work-essay-examples","tag-superior-nursing-papers","tag-us"],"_links":{"self":[{"href":"https:\/\/homeworkacetutors.com\/nursing\/wp-json\/wp\/v2\/posts\/11209","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/homeworkacetutors.com\/nursing\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/homeworkacetutors.com\/nursing\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/homeworkacetutors.com\/nursing\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/homeworkacetutors.com\/nursing\/wp-json\/wp\/v2\/comments?post=11209"}],"version-history":[{"count":0,"href":"https:\/\/homeworkacetutors.com\/nursing\/wp-json\/wp\/v2\/posts\/11209\/revisions"}],"wp:attachment":[{"href":"https:\/\/homeworkacetutors.com\/nursing\/wp-json\/wp\/v2\/media?parent=11209"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/homeworkacetutors.com\/nursing\/wp-json\/wp\/v2\/categories?post=11209"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/homeworkacetutors.com\/nursing\/wp-json\/wp\/v2\/tags?post=11209"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}