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SPSS Survey Data

100pts

Please open the ‘Youth Risk Behavior Survey Data’ SPSS file and answer the following questions. The data are a subset of cases from a nationally collected survey in 2009 entitled, Youth Risk Behavior Survey (YRBS). The file includes 451 randomly selected participants from YRBS 2009. In addition, all 451 youth participated in an online bullying prevention program and were assessed before and after the program on their reported level of confidence to be able to notify school authorities if they are a witness to bullying or if they are bullied themselves. The dataset is ready for analysis and below is the codebook for reference purposes. 

Codebook for 2009 Youth Risk Behavior Survey Database

 

Variable

 

Label

Original Coding Scheme

 

Q22

Have you been bullied at school in the past 12 months?

1=Yes

2=No

 

Q2

Gender

1=Female

2=Male

 

race

Race/ethnicity

1=White

2=Black or African American

3=Hispanic or Latino

4=Other

 

age

Age at the time of survey (in years)

Measured in years

 

Q23

Have you ever felt sad or hopeless in the past 12 months?

1=Yes

2=No

 

suicide_attempts

How many times have you attempted suicide in past 12 months?

Measured as number of times

 

pre_selfefficacy

Pretest on self-efficacy/confidence to notify school authorities if witness to bullying or if being bullied (before online bullying prevention program)

Measured from 0-100, with 100 the best confidence

 

post_selfefficacy

Post-test on self-efficacy/confidence to notify school authorities if witness to bullying or if being bullied (after online bullying prevention program)

Measured from 0-100, with 100 the best confidence

 

 

 

Part 1:  Interpreting Output

 

Description:  The below output is from measuring the participants on their pre-program self-efficacy.  We want to know if there is a difference in mean pre-program self-efficacy between those who reported being bullied vs. not.  Using the results of the test, please answer the following questions:

(24pts)

 

1.    Please identify the statistical test used and the IV and DV.

2.    Please state the assumptions/conditions that need to be met to use this test.

3.    Should the Kolmogorov-Smirnov (KS) or the Shapiro-Wilk (SW) be used?  Please explain which is to be used.  Explain if you reject or fail to reject the null (for the normality test).  What is your conclusion on normality using either the KS or SW?

4.    Please report the results of the statistical test in an APA format.

5.    Is there a significant result?  Please describe/support why or why not.

6.    Please describe the results to someone who is a non-statistician (recommendation/conclusion).

 

 

 

Tests of Normality

 

Have you been bullied @ school past 12 mos

Kolmogorov-Smirnova

Shapiro-Wilk

 

Statistic

df

Sig.

Statistic

df

Sig.

Pretest on perceived self-efficacy to notify authorities if witness bullying or if being bullied (before bullying prevention program) (0-100, with 100 best confidence)

Yes

.151

310

.000

.972

310

.000

No

.179

141

.000

.929

141

.000

a. Lilliefors Significance Correction


 

Group Statistics

 

Have you been bullied @ school past 12 mos

N

Mean

Std. Deviation

Std. Error Mean

Pretest on perceived self-efficacy to notify authorities if witness bullying or if being bullied (before bullying prevention program) (0-100, with 100 best confidence)

Yes

310

43.24

19.932

1.132

No

141

52.77

21.468

1.808

 

 

 

 

Levene’s Test for Equality of Variances

 

F

Sig.

t

df

Sig. (2-tailed)

Mean Difference

Std. Error Difference

95% Confidence Interval of the Difference

Lower

Upper

Pretest on perceived self-efficacy to notify authorities if witness bullying or if being bullied (before bullying prevention program) (0-100, with 100 best confidence)

Equal variances assumed

6.174

.013

-4.591

449

.000

-9.524

2.075

-13.601

-5.447

Equal variances not assumed

 

 

-4.465

253.646

.000

-9.524

2.133

-13.725

-5.323

 

 

 

 

 

 

 

 

Part 2:  SPSS

 

Description:  Please use SPSS to answer the following questions. 

 

  1. Is the online bullying prevention program effective at increasing self-efficacy from pre- to post-program? (32pts)

·      Declare your null and research hypothesis

(3pts)

·      State your Independent and Dependent Variable

(5pts)

·      Report the level of measurement and any levels for the independent variable

·      State the statistical test you are going to use along with the conclusions for the assumptions.  For normality, please provide rationalization from all 4 methods learned.

(13pts)

·      State your alpha level

(1pt)

·      Report your results in APA format

(2pts)

·      Report if you reject or FAIL TO REJECT your null along with why

(3pts)

·      The purpose of the program is to see if it is worth implementing in schools nationwide.  Please provide an adequate recommendation to school administration.

 (5pts)

 

 

 

 

 


 

  1. Is mean post-program self-efficacy statistically different across racial groups? (44pts)

·      Declare your null and research hypothesis

(3pts)

·      State your Independent and Dependent Variable

(5pts)

·      Report the level of measurement and any levels for the independent variable

·      State the statistical test you are going to use and why

(5pts)

·      Should state the conclusions about assumptions for using the test (for normality, please just provide rationalization from 2 methods learned)

·      State your alpha level

(1pt)

·      Report your results in APA format

(2pts)

·      Report if you reject or FAIL TO REJECT your null along with why

(3pts)

·      Report your conclusion in a statistical manner (formally and informally)

(5pts)

    1. Please provide a visual aid to illustrate the result of the problem.

(5pts)

    1. Is there a violation in the homogeneity of variance assumption?  If so, please report and explain ALL the appropriate corrections to use.  Please be as thorough as possible.

(15pts)

 

 

 

 

 

 


Question

Number of DVs

Covariate

Number of

IVs

Levels of IV

(k)

Participants in conditions

Parametric

Test

Non-parametric

Test

Are conditions/ groups/treatments

different?

1

No

1

2

Same

Paired(dependent) t-test

Wilcoxon

Different

Independent t-test

Mann-Whitney

>2

Same

Repeated measures 1-way ANOVA

Friedman

Different

1-way Between Subjects ANOVA

Kruskal-Wallis

>1

≥2

Same

Repeated Measures Factorial ANOVA

 

Different

Between Subjects Factorial ANOVA

 

Both

Mixed Design Factorial ANOVA

 

Yes

≥1

≥2

Any

ANCOVA

 

>1

No

≥1

≥2

Any

MANOVA

 

>1

Yes

≥1

≥2

Any

MANCOVA

 

Is a category more frequent?

1

 

1

≥2

 

 

Chi-square

Are variables related?

2

 

 

 

 

Pearson’s Product Moment Correlation

Spearman’s Rank Correlation

What is the relationship between variables?

1

 

1

 

 

Linear or Polynomial Regression

 

1

 

>2

 

 

Multiple Regression

 

 

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