Week 6 Assignment

A Survey of 50 Clients

Fifty clients of LIGHT ON ANXIETY were surveyed regarding their satisfaction with services. The clients filled out the survey on completion of treatment in January. In June, the clients were telephoned and re-surveyed and were asked to rate their overall satisfaction again.

Variables in the Working File

Variable	Position	Label	Measurement Level	Description
Participantid	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?
Satjan	8	Overall Satisfaction in January	Scale	On a scale of 1 to 7, rate your overall satisfaction with your MHMR experience.
Satjun	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
Preexist	12	Pre-existing Condition	Nominal	1 = Mental health; 2 = Substance Abuse; 3 = Both

INSTRUCTIONS:

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. Be sure to report whether any assumptions were violated. Also report post-hoc test findings when the overall ANOVA is significant. Be sure to also include relevant figures.

Research Questions

Question 1: Are there differences in satisfaction with the intake process of clients who admit with pre-existing mental health problems, substance abuse problems, or both?

1. Run the One-Way ANOVA. Click on ANALYZE/COMPARE MEANS/ONE-WAY ANOVA

2. Use Preexisting condition (Preexist) as the independent variable.

3. Use Usage Level (Usage) as the dependent variable.

4. Select descriptive statistics. Under Options, check the boxes for homogeneity of variance test and Welch.

5. We can also get a graph of the means of our groups, if we click on OPTIONS and then MEANS PLOT in the next dialog box (note: it is interesting to see how SPSS will automatically generate the y-axis range according to the data, this feature can make a nonsignificant result look significant and a significant result look nonsignificant depending on your data).

6. Generate post-hoc comparison to evaluate the differences between groups. Click on Post-hoc and check the box next to Tukey.

Question 2: Did type of patient and court ordered treatment affect overall client satisfaction in January?

1. Run a Two-Way Between Groups ANOVA.

ANALYZE>GENERAL LINEAR MODEL>UNIVARIATE

2. Use NewPatient and Court as independent variables.

3. Use Overall Satisfaction in January as the dependent variable.

4. Plots are very important when looking at interactions. Whenever we see plots where the lines are not parallel or they cross, we can be pretty sure we have an interaction. We can plot this data in two different ways (both plots will give us the same information, but in different formats).

For the first plot, click on PLOT and put newpatient in HORIZONTAL AXIS and court in SEPARATE LINES, then click ADD and CONTINUE)

For the second plot, click on PLOT and put court in HORIZONTAL AXIS and newpatient in SEPARATE LINES, then click ADD and CONTINUE)

Be sure to describe what you see in the graphs.

5. Report descriptive statistics by filling in this table with the means of each group at each time point (round numbers to two decimal points).

Table 1 Means

Group	Yes	No
Mental Health
Substance Abuse
Both

6. Report the assumptions tests and tests of statistical significance.

Write a brief conclusion statement summarizing your results. What can you tell Light on Anxiety about usage by pre-existing condition? Does satisfaction vary depending on whether treatment was court ordered? Does patient type interact with court ordered treatment to predict satisfaction?

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Week 5 Assignment

A Survey of 50 Clients

Fifty clients of LIGHT ON ANXIETY (LOA) were surveyed regarding their satisfaction with services. The clients filled out the survey on completion of treatment in January. In June, the clients were telephoned and re-surveyed and were asked to rate their overall satisfaction again.

Variables in the Working File

Variable	Position	Label	Measurement Level	Description
Participant	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?
Satjan	8	Overall Satisfaction in January	Scale	On a scale of 1 to 7, rate your overall satisfaction with your MHMR experience.
Satjun	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
Preexist	12	Pre-existing Condition	Nominal	1 = Mental health; 2 = Substance Abuse; 3 = Both

Instructions:

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.

Research Questions

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

The State published a report that, on average, counseling centers provide about 60% of counseling services to first time patients. Is LIGHT ON ANXIETY’s percent of services provided different from the state average?

1. Use Select Cases to choose First time patients (NewPatient = 0).

2. Run a one sample t-test using Usage as the dependent variable, and 60.0 as the test value.

3. Report the descriptive statistics (means and standard deviations), assumptions tests, as well as tests of statistical significance (t value, df, and p value).

4. What do these results suggest?

Step 1: State the hypothesis (null and alternate).

· Null Hypothesis (H0): LIGHT ON ANXIETY's percent of services provided to first-time patients equals the state average (μ = 60%).

· Alternative Hypothesis (H1): LIGHT ON ANXIETY's percent of services provided to first-time patients differs from the state average (μ ≠ 60%).

Step 2: State your alpha (unless requested otherwise, this is always set to alpha = .05).

· Alpha (α): 0.05

Step 3: Collect the data (use one of the data sets).

· "Usage" variable for the dependent variable.

· "NewPatient" variable to select first-time patients (NewPatient = 0).

Step 4: Calculate your statistic and p-value (this is where you run SPSS and examine your output files).

T-Test

[DataSet1] D:RSM701LOA1.sav

One-Sample Statistics
	N	Mean	Std. Deviation	Std. Error Mean
Usage Level	50	44.600	9.0959	1.2863

One-Sample Test
	Test Value = 60
	t	df	Sig. (2-tailed)	Mean Difference	95% Confidence Interval of the Difference
					Lower	Upper
Usage Level	-11.972	49	.000	-15.4000	-17.985	-12.815

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).

· The one-sample t-test yielded a significant result for LIGHT ON ANXIETY's percent of services provided to first-time patients (t (49) = -11.972, p < .001). Therefore, we reject the null hypothesis that the percentage of services offered is equal to the state average of 60%.

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).

· The data met the assumptions of the t-test, including normality, independence, and homogeneity of variances.

· The effect size, indicated by the t-value, is substantial (t (49) = -11.972).

· The sample size (N = 50) is large, enhancing the reliability of the results.

Step 7: What do these results suggest?

· The one-sample t-test revealed a statistically significant difference between LIGHT ON ANXIETY's percentage of services provided to first-time patients (M = 44.600, SD = 9.0959) and the state average of 60% (t (49) = -11.972, p < .001). The mean difference was -15.4000, with a 95% confidence interval ranging from -17.985 to -12.815. These results suggest that LIGHT ON ANXIETY provides a significantly lower percentage of services to first-time patients than the state average.

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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?

1. Run an Independent Samples t-test.

2. Use Patient Type as the independent variable.

3. Use Overall Satisfaction in January (satjan) as the dependent variable.

4. Report the descriptive statistics, assumptions tests, as well as tests of statistical significance. Be sure to report Levene’s test results prior to reporting t-test findings.

Step 1: State the hypothesis (null and alternate).

· Null Hypothesis (H0): There is no difference in overall satisfaction between first-time and repeat admissions in January.

· Alternative Hypothesis (H1): There is a difference in overall satisfaction between first-time and repeat admissions in January.

Step 2: State your alpha (unless requested otherwise, this is always set to alpha = .05).

· Alpha (α): 0.05

Step 3: Collect the data (use one of the data sets).

· Overall Satisfaction in January (Satjan) as the dependent variable.

· Patient Type (0 = first time, 1 = repeat admission) as the independent variable.

Step 4: Calcu

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