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3. Statistical significance is found in a study, but the effect in reality is very small (i.e.,
there was a very minor difference in attitude between men and women). Were the
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 competency. The
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cultural competency score ranges from 0 to 10, with higher scores indicating higher
levels of cultural competency. The descriptive statistics indicate women have
higher levels of cultural competency (M = 9.2, SD = 3.2) than men (M = 8.9, SD =
2.1). The results were significant t (1311) = 2.0, p <.05, indicating that women are
more culturally competent than are men. These results tell us that gender-specific
interventions targeted toward men may assist in bolstering cultural competency.
4. A study has results that seem fine, but there is no clear association to social
change. What is missing?
A correlation test was conducted to determine whether a relationship exists
between level of income and job satisfaction. The sample consisted of 432
employees equally represented across public, private, and non-profit sectors. The
results of the test demonstrate a strong positive correlation between the two
variables, r =.87, p < .01, showing that as level of income increases, job
satisfaction increases as well.
Week 5 Written Assignment - Evaluating Significance of Findings". For this assignment you are asked to read and evaluate 2 scenarios. Please also keep the following in mind as you craft your responses:
have selected to evaluate
For each scenario use the following 4 subheadings. Use this wording verbatim (exactly as they are written below). Using these 4 subheadings will ensure that you provide the information required for the assignment, which ultimately facilitates the grading process.
Critical evaluation of the sample size.
Critical evaluation of the statements for meaningfulness.
Critical evaluation of the statements for statistical significance.
Explanation of the implications for social change.