A supervising social worker in the Department of Child Safety is interested in e

Question

A supervising social worker in the Department of Child Safety is interested in examining the relationship between supervision (group/individual) and levels of worker burnout (low/moderate/high). She collected data over a period of a month (N=100). A chi-square analysis revealed the following:  2= 6.13, df = 2, p<.05.

Identify the independent variable (1 pt)

Identify the dependent variable (1 pt)

Interpret the findings from the chi-square analysis. What would be your conclusion? (2 pts) (A too short answer (e.g. it is significant) may not receive any points. Please offer meaningful interpretation)

Explanation / Answer

Identify the independent variable (1 pt)

Ans: levels of worker burnout (low/moderate/high)

Identify the dependent variable (1 pt)

Ans: supervision (group/individual)

Interpret the findings from the chi-square analysis.

Ans: When you perform a hypothesis test in statistics, a p-value helps you determine the significance of your results. ... The p-value is a number between 0 and 1 andinterpreted in the following way: A small p-value (typically 0.05) indicates strong evidence against the null hypothesis, so you reject the null hypothesis.

So here, p < 0.05

thus null is rejected.This means there is a relationship between  supervision (group/individual) and levels of worker burnout (low/moderate/high)

Related Questions

Navigate

• Browse (All)
• Browse A
• Subjects

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.