Reference no: EM13903827

A Survey of 50 Clients

In January 08, fifty clients of a county Mental Health Mental Retardation (MHMR) center were surveyed regarding their satisfaction with services. The clients filled out the survey on completion of treatment. In June 08, the clients were telephoned and re-surveyed and were asked to rate their overall satisfaction again.

Variable	Position	Label	Measurement Level
id	1	ID	Scale	Participant ID number
Intake	2	Intake experience	Scale	On a scale of 1 to 10, how would you rate the intake experience?
Indcouns	3	Individual Counseling	Scale	On a scale of 1 to 10, how would you rate your satisfaction with the individual counseling sessions?
Groupcouns	4	Group Counseling	Scale	On a scale of 1 to 10, how would you rate your satisfaction with the group counseling sessions?
Pricefair	5	Fairness of sliding scale	Scale	On a scale of 1 to 10, how would you rate your satisfaction with the sliding scale method of payment?
Newpatient	6	Type of Patient	Ordinal	0 = first time 1 = repeat admission
Usage	7	Usage Level	Scale	What percent of your mental health services are provided by this center?
Osatjan	8	Overall Satisfaction in January	Scale	On a scale of 1 to 7, rate your overall satisfaction with your MHMR experience.
Osatjun	9	Overall Satisfaction in June	Scale	On a scale of 1 to 7, rate your overall satisfaction with your MHMR experience.
court	10	Court ordered treatment	Nominal	Was your treatment court-ordered? 0 = No; 1 = Yes
Therapytype	11	Individual or family therapy	Nominal	0 = Individual; 1 Family
Txtype	12	Type of Treatment	Nominal	1 = Mental health; 2 = Substance Abuse; 3 = Both

For each research question, describe in your MSWORD document the application of the seven steps of the hypothesis testing model.

Step 1: state the hypothesis (null and alternate)
Step 2: State your alpha (unless requested otherwise, this is always set to alpha = .05)
Step 3: collect the data (use one of the data sets).
Step 4: Calculate your statistic and p value (this is where you run spss and examine your output files).
Step 5: Retain or reject the null hypothesis. (This is where you report the results of your analyses t (df) = t value, p = sig. level).
Step 6: Assess the Risk of Type I and Type II Error (did the data meet the assumptions of the statistic; effect size; and sample size).
Step 7: State your results in APA style and format.

Application Assignments

Question 1: In Fall 07, the MHMR ran public service announcements advertising treatment resources for mental health, substance abuse and dual diagnoses (both). Does the distribution of pre-existing conditions (Mental health, Substance Abuse or Both) differ from what one would expect by chance?

1. Run a Chi Square Goodness-of-Fit using PreExisting Condition as the variable with "all categories equal".
2. Report the observed and expected values and the tests of statistical significance.

Question 2. The MHMR received data from the State indicated that MHMR facilities tend to attract more substance abuse cases than mental health or dual diagnosis clients. Does the distribution of clients (Mental health, Substance Abuse or Both) differ from the State data?
1. Run a Chi Square Goodness-of-Fit using Type of Treatment as the variable with "all categories unequal" with 12, 26, and 12 as the expected values.
2. Report the observed and expected values and the tests of statistical significance.

Question 3: The MHMR would like to know if there is a relationship between the Type of Patient and Court Ordered.
1. Run Chi Square Independence test (Crosstabs) using Newpatient in the rows and Court in the column.
2. Use the Chi Square and the Phi Coefficient to evaluate the relationship and statistical significance.
3. Report the observed and expected values and the tests of statistical significance.

Write a brief conclusion statement summarizing your results. What can you tell this MHMR about the kinds of clients that use this facility? Is utilization in this MHMR similar or different than the state? What type of patient is the most frequent user of these services?