Assessing non-parametric or t tests Essay Example | Topics and Well Written Essays - 1500 words

Assessing non-parametric or t experiments - demonstrate ExampleThe Cronbach alpha value of HPLPII was 0.95, which is true(p) and valid for study as HPLPII has been divided into further sextuplet subscales which are health responsibility (HR), physical activity (PA), nutrition (NUTR), spiritual growth (SG), interpersonal dealings (IPR), and stress man timement (SM). The Cronbach alpha individual subscale values are stated as 0.83 for HR, 0.87 for PA, 0.85 for NUTR, 0.86 for SG, 0.82 for IPR and 0.76 for SM. Second purpose of Attentional Demands pursue (ADS) is valid as Cronbach alpha values stood at 0.96. Since ADS was further divided into four subscales as Physical Environmental (PE), Informational (INF), Behavioural (BEH) and Affective (AF). The Cronbach alpha for all told four internal subscales was inform as 0.90 for PE, 0.91 for INF, 0.84 for BEH and 0.88 for AF. Considering all the reported statistics of Cronbach Alpha it can be argued that all variables are valid and reliable for further testing it should be noted that acceptance of Cronbach Alpha test statistic is 0.8 for previously time-tested models and 0.7 for impudently tested models. After validation, it should be noted that this study is a correlational study so, obviously the contiguous step will be to analyse the correlation between the survey findings of Attentional Demand Survey (ADS) and Health Promoting Lifestyles Profile II. The resulted correlation between ADS and HPLPII was a moderate negative correlation though all the indicators were significant at 5% level of significance as p statistics for all correlation statistics was down the stairs 0.05. After open analysis the sample was categorized into age groups. One way ANOVA test was applied to find the significance of age differences and health advance. The result statistics revealed significant difference of health forwarding between two groups of age 65-74 and age 75-84 but the age group 85 to older had no significant dif ference in health promotion. The One way ANOVA test statistics revealed the significance of age group differences as p stood at 0.027 with the F-test statistics at 3.72. In the parametric dimension of analysis ADS was encounter responsive to the nursing facility for which demographic differences such as marital status differences and gender differences were tested for relationship. Marital status differences were not significant and there was no difference in health promotion while testing their marital differences as t-test statistics for ADS was 0.42 and for HPLPII was -0.42, both t-test statistics were below 2. Similarly gender differences for health promotion were also insignificant as t-test statistic for ADS was 0.76 and for HPLPII was -1.42. Besides parametric testing, the study also opted for some non-parametric testing as attentional demands and difficulties by different age groups were specified and the study compiled the survey results and presented it in tables which wa s categorized in three age groups. These non-parametric analysis helped understanding the qualitative dimension of the study. The article is actually based on the growing healthcare problems among the dwelling elders in USA and examines the barriers to health promotion among them. The elderly population of instantly is known as the baby boomer generation who have