Week 5 Assignment: Survey Of 50 Clients Of Light

Week 5 Assignmenta Survey Of 50 Clientsfifty Clients Of Light On Anxie

Fifty clients of LIGHT ON ANXIETY (LOA) were surveyed regarding their satisfaction with services. The clients completed a survey at the end of their treatment in January and were re-surveyed via telephone in June to assess their perceived satisfaction again. Variables collected include client demographics, satisfaction ratings in January and June, types of therapy, and other relevant client data. The assignment involves applying the seven steps of hypothesis testing to analyze three specific research questions related to client satisfaction and service delivery.

Paper For Above instruction

The purpose of this study is to evaluate client satisfaction with services provided by LIGHT ON ANXIETY (LOA), analyzing data collected from fifty clients at two time points—post-treatment in January and in June during a follow-up call. The research aims to compare LOA’s service provision with state averages, examine differences in satisfaction between first-time and repeat clients, and assess changes in satisfaction over time. The analysis employs various statistical hypothesis tests, aligning each with the specific research questions and following the seven-step hypothesis testing model.

Research Question 1: How does LIGHT ON ANXIETY compare to the state’s figures on providing services to first-time admissions?

Step 1: State the hypotheses. The null hypothesis (H₀) posits that LOA’s percentage of services to first-time patients is equal to the state's reported 60%. The alternative hypothesis (H₁) suggests that LOA’s percentage differs from 60%.

Step 2: Set alpha at 0.05, a standard threshold for statistical significance.

Step 3: Data collection involved selecting first-time patients (where NewPatient = 0) from the dataset.

Step 4: Conducted a one-sample t-test with Usage as the dependent variable and 60.0 as the test value. Calculated the mean and standard deviation of Usage among first-time patients, then ran SPSS to obtain the t statistic, degrees of freedom, and p value.

Step 5: Interpreted the results; if p

Step 6: Assessed assumptions for the t-test: normality of Usage distribution within the subset, effect size (e.g., Cohen’s d), and adequate sample size for statistical power.

Step 7: Reported the findings in APA format:

"A one-sample t-test revealed that LOA’s percentage of services provided to first-time patients (M = xx, SD = xx) did/did not significantly differ from the state average of 60% t(df) = xx, p = xx."

Research Question 2: Is there a difference between first-time and repeat admissions in their overall satisfaction with LIGHT ON ANXIETY services as rated in January?

Step 1: Null hypothesis states that there is no difference in January satisfaction ratings between first-time and repeat clients. The alternative suggests a difference exists.

Step 2: Alpha remains at 0.05.

Step 3: Data selection involved dividing the sample into two groups based on PatientType (0 = first time, 1 = repeat).

Step 4: Performed an independent samples t-test with Overall Satisfaction in January (satjan) as the dependent variable and PatientType as the independent variable. Prior to the test, Levene’s test checked for equality of variances.

Step 5: Results interpretation relied on the p-value. If p

Step 6: Validated assumptions—normality of satisfaction scores within groups and homogeneity of variances, effect size calculations emphasized the practical significance of findings.

Step 7: Results were reported APA-style, for example: "An independent samples t-test indicated that satisfaction in January did/did not differ between first-time (M = xx, SD = xx) and repeat patients (M = xx, SD = xx); t(df) = xx, p = xx."

Research Question 3: Has satisfaction with LIGHT ON ANXIETY services changed since the January survey?

Step 1: Null hypothesis claims no change in satisfaction levels between January and June. The alternative states that satisfaction has changed.

Step 2: Alpha at 0.05.

Step 3: Data analysis involved pairing satisfaction scores for each client in January and June.

Step 4: Used a paired samples t-test comparing satjan and satjun, computing mean differences, standard deviations, and t statistic with degrees of freedom equal to the number of pairs minus one.

Step 5: Based on the p-value, determined whether to reject H₀.

Step 6: Assessed normality of the difference scores, effect size (e.g., Cohen’s d for paired samples), and sample adequacy.

Step 7: Results were formatted APA-style: "A paired samples t-test showed that satisfaction in June (M = xx, SD = xx) significantly/did not significantly differ from satisfaction in January (M = xx, SD = xx); t(df) = xx, p = xx. This suggests that client satisfaction has/has not changed over time."

Conclusion

The analyses provide insight into client satisfaction trends and service delivery effectiveness at LIGHT ON ANXIETY. The first test determines whether LOA's service proportions match the reported state average, informing operational benchmarks. The second examines whether dissatisfaction or satisfaction levels differ between client groups, guiding tailored service improvements. The third assesses satisfaction changes over time, essential for evaluating program effectiveness.

To enhance client satisfaction, LOA should consider targeted feedback mechanisms and continuous quality improvement initiatives. If significant differences are found, addressing underlying causes—such as service quality, accessibility, or client engagement—can foster better outcomes. Regular assessments and adherence to evidence-based practices are recommended for sustained improvement.

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