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R7031_Counseling_M6_SPSS_Assignments 1

Due 11/25 R7031counseling.sav File Information

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

Variables in the working file

For each research question , describe in your WORD 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.

MODULE 6 Application Assignments

Question 1: Is there a relationship among the variables measuring different aspects of client satisfaction?

1. Run a Pearson correlation matrix using Intake Experience, Individual Counseling, Group Counseling, Fairness of Sliding Scale, Overall Satisfaction in January and Overall Satisfaction in June.

2. Create a Scatterplot for the following pairs: (1) Intake Experience- Overall Satisfaction in June; and (2) Individual Counseling Experience- Overall Satisfaction in June.

3. Report the descriptive statistics, assumptions tests, as well as tests of statistical significance. Identify strong and weak correlations.

Question 2: Does Intake Experience Impact Overall Satisfaction in June?

1. Run a simple regression using Intake Experience as the independent variable and Overall Satisfaction in June as the dependent variable.

2. Report the descriptive statistics, assumptions tests (scatterplots), as well as tests of statistical significance.

Question 3: Does Intake Experience and Individual Counseling Impact Overall Satisfaction in June?

1. Run a stepwise multiple regression using Intake Experience and Individual Counseling as the independent variables and Overall Satisfaction in June as the dependent variable.

2. Report the descriptive statistics, assumptions tests (scatterplots), as well as tests of statistical significance.

Write a brief conclusion statement summarizing your results. What can you tell this MHMR Center about the relationship among satisfaction variables? Are there any areas they need to improve? Does adding a second variable to the regression equation increase prediction of customer satisfaction in June?