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 […]
Case Processing Summary Cases Valid Missing Total N Percent N Percent N Percent DOES R OWN OR RENT HOME? * RESPONDENTS SEX 1670 65.8% 868 34.2% 2538 100.0% DOES R OWN OR RENT HOME? * RESPONDENTS SEX Crosstabulation RESPONDENTS SEX Total MALE FEMALE DOES R OWN OR RENT HOME? OWN OR IS BUYING […]
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 […]
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 […]
Sample Problem Statement: A research paper claims a meaningful contribution to the literature based on finding statistically significant relationships between predictor and response variables. In the footnotes, you see the following statement, “given this research was exploratory in nature, traditional levels of significance to reject the null hypotheses were relaxed to the .10 level.” Post […]
A statistical test estimates how consistent an observed statistic is compared to a hypothetical population of similarly obtained statistics – known as the test, or ‘null’ distribution. The further the observed statistic diverges from that test population’s median the less compatible it is with that population, and the less probable it is that such a […]
What makes significance testing a fascinating and important case for investigation is that it appears to have dispersed not because of its appropriateness in various research circumstances, but notwithstanding of it. It may certainly be the case – and I can empirically examine that an increase in the use of probability sampling refreshed the application of […]
