Health Without Gaps continues to support our vulnerable population.

Testing for Bivariate Categorical Analysis

Case Processing Summary   Cases Valid Missing Total N Percent N Percent N Percent Q59h. Trust police * Democracy (dichotomous) 47429 91.9% 4158 8.1% 51587 100.0% Q59h. Trust police * Democracy (dichotomous) Crosstabulation   Democracy (dichotomous) Total Not a Democracy Democracy Q59h. Trust police Not at all Count 2143 8516 10659 % within Democracy (dichotomous) […]

Example of Quantitative Research Calculations: Metric Variable of Number of Adults in Household

For the Metric Variable of number of adults in household (ADULTCT), the descriptive statistics is below: The metric variable of number of adults in household show N=51451 with missing value of 136. The values for the mean, median and mode for this statistics are 3.64, 3.00, and 2. The std. error of mean is minute […]

T-Test

The hypothesis or alternate hypothesis is usually hidden in a word problem, and is sometimes a statement of what you expect to happen in the experiment or a claim of what will happen. Null hypothesis is statement of what will happen if the hypothesis or alternate doesn’t come true. Null hypothesis is the opposite statement […]

Statistical Terms in Quantitative Research

Statistically significant means a result is unlikely due to chance. The p-value is the probability of obtaining the difference we saw from a sample (or a larger one) if there really isn’t a difference for all users. A conventional (and arbitrary) threshold for declaring statistical significance is a p-value of less than 0.05.  Statistical significance […]

Statistical Significant

To determine whether a result is statistically significant, a researcher would have to calculate a p-value, which is the probability of observing an effect given that the null hypothesis is true. The null hypothesis is rejected if the p-value is less than the significance or α level. Just because you get a low p-value and conclude a difference is […]

Statistical Significance vs correlation coefficient

A general discussion of significance tests for relationships between two continuous variables. Factors in relationships between two variables The strength of the relationship: is indicated by the correlation coefficient: r but is actually measured by the coefficient of determination: r2 The significance of the relationship is expressed in probability levels: p (e.g., significant at p =.05) This tells how unlikely a given correlation coefficient, r, will […]

ANOVA, Test of Homogeneity of Variances, Multiple Comparison and SPSS Calculations.

ANOVA R’s socioeconomic index (2010)    Sum of Squares df Mean Square F Sig. Between Groups 474058.682 4 118514.671 385.981 .000 Within Groups 743670.506 2422 307.048     Total 1217729.188 2426       Test of Homogeneity of Variances R’s socioeconomic index (2010)  Levene Statistic df1 df2 Sig. 23.938 4 2422 .000 Multiple Comparisons Dependent […]

Quantitative Study on Acquired Brain Injury

It is important to first understand what an acquired brain injury is. Acquired brain injury is a type of brain impairment that happens after birth, which is not connected to an inherited or worsening disease (Powell River Brain Injury Society, n.d.). Twenty-four community college study with acquired brain injury filled out questionnaires and other standardized […]

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