Question: I have been asked to do the following below: I am unsure if I have cor

Question

Question: I have been asked to do the following below: I am unsure if I have correctly listed the data in the variable view for SPSS. I will post that below. I am thinking that I would like to research the education of teachers who work with special ed students and the response that I recieve from a five question survey.

Begin by identifying a potential research topic/issue of personal interest as the basis for a fictitious study.

Create your fictitious study, including the following components in APA format: 1) introduction, 2) statement of the problem, 3) purpose of the study, 4) a research question with corresponding hypotheses (null and alternative), 5) research method, 6) findings, 7) conclusions, 8) references, and 9) appendix.

The variables that I created are:

What level of education past bachelors do you have? (1) 0 – 1 years plus (2) 1 – 2 year (3) three plus years

What is your age?

Below are five statements that you may agree or disagree with. Using the 1 – 7 scale below, where SD = Strongly Disagree and SA = Strongly Agree, answer each of the following as they apply to yourself. (CPS = Classroom Perception Scale)

When beginning my career as a special education teacher I felt adequately prepared to work with deaf plus population. (Classroom perception Scale -CPS1)

Resources (workshops, specialist, additional college courses) were available for me to obtain information on how to work with deaf plus students. CPS2)

I am completely satisfied in working with deaf plus students. (CPS3)

My principal is readily available to answer and supply resources for me in regards to working with deaf plus students. (CPS4)

My colleagues are completely supportive of me as a teacher in working with deaf plus students. (CPS5)

Regression

Variables Entered/Removeda

Model

Variables Entered

Variables Removed

Method

1

CPS5, CPS3, CPS4, CPS2, CPS1b

.

Enter

2

ageb

.

Enter

a. Dependent Variable: education

b. All requested variables entered.

Model Summaryc

Model

R

R Square

Adjusted R Square

Std. Error of the Estimate

Durbin-Watson

1

.411a

.169

.074

.5583

2

.664b

.441

.363

.4631

1.377

a. Predictors: (Constant), CPS5, CPS3, CPS4, CPS2, CPS1

b. Predictors: (Constant), CPS5, CPS3, CPS4, CPS2, CPS1, age

c. Dependent Variable: education

ANOVAa

Model

Sum of Squares

df

Mean Square

F

Sig.

1

Regression

2.784

5

.557

1.786

.135b

Residual

13.716

44

.312

Total

16.500

49

2

Regression

7.277

6

1.213

5.654

.000c

Residual

9.223

43

.214

Total

16.500

49

a. Dependent Variable: education

b. Predictors: (Constant), CPS5, CPS3, CPS4, CPS2, CPS1

c. Predictors: (Constant), CPS5, CPS3, CPS4, CPS2, CPS1, age

Coefficientsa

Model

Unstandardized Coefficients

Standardized Coefficients

t

Sig.

B

Std. Error

Beta

1

(Constant)

2.026

.419

4.835

.000

CPS1

-.041

.044

-.136

-.933

.356

CPS2

.044

.043

.149

1.033

.307

CPS3

-.042

.048

-.128

-.868

.390

CPS4

-.113

.042

-.379

-2.699

.010

CPS5

-.028

.038

-.106

-.731

.469

2

(Constant)

1.171

.395

2.968

.005

CPS1

-.066

.037

-.215

-1.759

.086

CPS2

.004

.036

.015

.120

.905

CPS3

-.032

.040

-.097

-.796

.430

CPS4

-.082

.035

-.273

-2.302

.026

CPS5

-.048

.032

-.183

-1.509

.139

age

.029

.006

.565

4.577

.000

a. Dependent Variable: education

Excluded Variablesa

Model

Beta In

t

Sig.

Partial Correlation

Collinearity Statistics

Tolerance

1

age

.565b

4.577

.000

.572

.854

a. Dependent Variable: education

b. Predictors in the Model: (Constant), CPS5, CPS3, CPS4, CPS2, CPS1

Residuals Statisticsa

Minimum

Maximum

Mean

Std. Deviation

N

Predicted Value

.688

2.349

1.300

.3854

50

Residual

-1.1259

1.2666

.0000

.4339

50

Std. Predicted Value

-1.588

2.722

.000

1.000

50

Std. Residual

-2.431

2.735

.000

.937

50

a. Dependent Variable: education

Variables Entered/Removeda

Model

Variables Entered

Variables Removed

Method

1

CPS5, CPS3, CPS4, CPS2, CPS1b

.

Enter

2

ageb

.

Enter

a. Dependent Variable: education

b. All requested variables entered.

Ali Left Right Right Right Right Right Right Right Measure Nominal Ordinal Scale Scale Scale Scale Scale Scale Role Input Input Input Input Input Input Input Input Values Missin Columns Width Decimals Label Name None education age CPS1 CPS2 CPS3 CPS4 CPS5 String Numeric Numeric Numeric Numeric Numeric Numeric Numeric None 1.0, 0-1 y... None None [1.00, Stron... None 1.00, Stron.. None [1.00, Stron... None 11.00, Stron.. None 1.00, Stron.. None None 10 12 13 14 15 16 17 18 19 20 21 23 24 Data VieW Variable View

Explanation / Answer

The improvisation you can do here is for the variables CPS1-CPS5. The ratings can't be fractional and it is not nominal variable as 1-7 rankings convey an order. Hence, these variables must be converted to Ordinal.

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