Health Without Gaps continues to support our vulnerable population.

Test of Homogeneity of Variances

Test of Homogeneity of Variances Q1. Age  Levene Statistic df1 df2 Sig. 50.699 4 48573 .000 ANOVA Q1. Age    Sum of Squares df Mean Square F Sig. Between Groups 47762.220 4 11940.555 57.203 .000 Within Groups 10139121.233 48573 208.740     Total 10186883.453 48577       Multiple Comparisons Dependent Variable:   Q1. Age    […]

Cramer’s V coefficient

…………………………………………………………………………………………………… The Cramer’s V coefficient talks about the strength of the relationship of your variables (Laureate Education, 2016a. For example, a value of 0 shows the absent of relationship between calculated variables, while a value of 1.0 shows a strong correlation between multiple variables. In many cases, the closer you get to 1.0, the better […]

Cook's Distance -Regression Diagnostic Model

Laureate Education (2016j ) described how we could examine Cook’s distance in terms of descriptive on the “residual statistics.” Additional expansion of the diagnostic issue relating to Cook’s distance is from an article by University of North Carolina (2015). The goal was meant to develop Cook’s distance procedures for assessing the influence of both atypical curves and observations, […]

Multiple Regression in Practice-SPSS

Variables Entered/Removeda Model Variables Entered Variables Removed Method 1 AGE OF RESPONDENT, HIGHEST YEAR OF SCHOOL COMPLETEDb . Enter a. Dependent Variable: R’s socioeconomic index (2010) b. All requested variables entered. Model Summaryb Model R R Square Adjusted R Square Std. Error of the Estimate Durbin-Watson 1 .599a .359 .358 17.9504 1.955 a. Predictors: (Constant), […]

Gender-Interventions and Cultural Competence

These gender-specific interventions will focus on educating more men about the important of cultural competence. It will also focus on a community-wide expansion of understanding what the set of likeminded conducts, approaches and policies are that come together in a scheme or specialization, and enable that structure or agency to work effectively in cross-cultural circumstances. […]

EVALUATING SIGNIFICANCE OF FINDINGS: Sample Sizes, P-Value and Probability in Statistics

  Sample size helps determine the size and probability of obtaining better statistical significance given the value of P of less or equal to the rationally set value. Since sample size represents the denominator of the equation for stemming statistical significance, lesser sample size requires higher effect than when the sample is large to finalize similar […]

EVALUATING SIGNIFICANCE OF FINDINGS: Statistical Significance and Sample T-test

An independent samples t test was conducted to determine whether differences exist between men and women on cultural competency scores. The samples consisted of 663 women and 650 men taken from a convenience sample of public, private, and non-profit organizations. Each participant was administered an instrument that measured his or her current levels of cultural […]

Afrobarometer Dataset

           Afrobarometer is an African-based research system that examines public surveys of different issues relating to and across many African nations (Afrobarometer, n.d.). Some of these issues may range from economic, governance, environmental, health and social change demography. According to the analyses from Afrobarometer dataset, we can clearly see descriptions of what each measured variables. […]

Testing Hypotheses for Means Part 2

Since the one-sample t-test determined statistical difference between citizens’ perceptions about the present state of democracy to differ from a value of 6, we can further compare and contrast perceptions between North Africa and Southern Africa. Using the 2015 Afrobaromater, we can use independent-samples t-test to associate means for two groups of subjects. In this […]

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