Question: Create your fictitious study, including the following components in AP

ID: 3269815 • Letter: Q

Question

Question: 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, and 7) conclusions.

DATA/Information is listed below:

The education of teachers who work with special ed students and the response that I receive from a five-question survey in regards to classroom satifaction. Does more education equate to better satifaction in the classroom or does education impact classroom satisfaction? To test this theory, fifty participants were asked five questions using a scale from 1 - 7 , 1 being the least satifaction. Age and years of education prior to teaching were asked to see if there is any relevance.

The survey questions are as listed:

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)

I have entered this information into SPSS and performed a regression analysis. The data for regrssion analysis is below:

Regression

Notes

Output Created

17-AUG-2017 21:32:18

Comments

Input

Data

C:Usersecca_000DesktopPhd Dissertationinalstatsfic.sav

Active Dataset

DataSet1

Filter

Weight

Split File

N of Rows in Working Data File

Missing Value Handling

Definition of Missing

User-defined missing values are treated as missing.

Cases Used

Statistics are based on cases with no missing values for any variable used.

Syntax

REGRESSION

/DESCRIPTIVES MEAN STDDEV CORR SIG N

/MISSING LISTWISE

/REGWGT=age

/STATISTICS COEFF OUTS CI(95) R ANOVA

/CRITERIA=PIN(.05) POUT(.10)

/NOORIGIN

/DEPENDENT education

/METHOD=ENTER CPS1 CPS2 CPS3 CPS4 CPS5

/RESIDUALS DURBIN.

Resources

Processor Time

00:00:00.05

Elapsed Time

00:00:00.12

Memory Required

4880 bytes

Additional Memory Required for Residual Plots

0 bytes

Descriptive Statisticsa

Mean

Std. Deviation

education

1.401

3.9284

CPS1

4.3486

10.87158

CPS2

4.0280

11.32599

CPS3

3.6754

10.59615

CPS4

3.8726

11.33226

CPS5

4.2417

13.16671

a. Weighted Least Squares Regression - Weighted by age

Correlationsa

education

CPS1

CPS2

CPS3

CPS4

CPS5

Pearson Correlation

education

1.000

-.110

.092

-.008

-.359

-.150

CPS1

-.110

1.000

-.026

-.313

-.064

-.088

CPS2

.092

-.026

1.000

.107

.000

.220

CPS3

-.008

-.313

.107

1.000

-.115

.045

CPS4

-.359

-.064

.000

-.115

1.000

-.022

CPS5

-.150

-.088

.220

.045

-.022

1.000

Sig. (1-tailed)

education

.223

.263

.479

.005

.148

CPS1

.223

.429

.014

.328

.273

CPS2

.263

.429

.230

.499

.062

CPS3

.479

.014

.230

.213

.378

CPS4

.005

.328

.499

.213

.440

CPS5

.148

.273

.062

.378

.440

education

CPS1

CPS2

CPS3

CPS4

CPS5

a. Weighted Least Squares Regression - Weighted by age

Variables Entered/Removeda,b

Model

Variables Entered

Variables Removed

Method

CPS5, CPS4, CPS1, CPS2, CPS3c

Enter

a. Dependent Variable: education

b. Weighted Least Squares Regression - Weighted by age

c. All requested variables entered.

Model Summaryb,c

Model

R Square

Adjusted R Square

Std. Error of the Estimate

Durbin-Watson

.452a

.204

.114

3.6979

1.610

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

b. Dependent Variable: education

c. Weighted Least Squares Regression - Weighted by age

ANOVAa,b

Model

Sum of Squares

Mean Square

Sig.

Regression

154.531

30.906

2.260

.065c

Residual

601.668

13.674

Total

756.199

a. Dependent Variable: education

b. Weighted Least Squares Regression - Weighted by age

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

Coefficientsa,b

Model

Unstandardized Coefficients

Standardized Coefficients

Sig.

95.0% Confidence Interval for B

Std. Error

Beta

Lower Bound

Upper Bound

(Constant)

2.426

.478

5.079

.000

1.464

3.389

CPS1

-.067

.052

-.185

-1.298

.201

-.171

.037

CPS2

.050

.048

.144

1.040

.304

-.047

.147

CPS3

-.043

.053

-.116

-.810

.422

-.151

.064

CPS4

-.135

.047

-.389

-2.853

.007

-.230

-.040

CPS5

-.060

.041

-.202

-1.458

.152

-.143

.023

a. Dependent Variable: education

b. Weighted Least Squares Regression - Weighted by age

Residuals Statisticsa,b

Minimum

Maximum

Mean

Std. Deviation

Predicted Value

.936

2.174

1.390

.3047

Residual

-.8349

1.5706

-.0899

.5366

Std. Predicted Valuec

Std. Residualc

a. Dependent Variable: education

b. Weighted Least Squares Regression - Weighted by age

c. Not computed for Weighted Least Squares regression.

Notes

Output Created

17-AUG-2017 21:32:18

Comments

Input

Data

C:Usersecca_000DesktopPhd Dissertationinalstatsfic.sav

Active Dataset

DataSet1

Filter

Weight

Split File

N of Rows in Working Data File

Missing Value Handling

Definition of Missing

User-defined missing values are treated as missing.

Cases Used

Statistics are based on cases with no missing values for any variable used.

Syntax

REGRESSION

/DESCRIPTIVES MEAN STDDEV CORR SIG N

/MISSING LISTWISE

/REGWGT=age

/STATISTICS COEFF OUTS CI(95) R ANOVA

/CRITERIA=PIN(.05) POUT(.10)

/NOORIGIN

/DEPENDENT education

/METHOD=ENTER CPS1 CPS2 CPS3 CPS4 CPS5

/RESIDUALS DURBIN.

Resources

Processor Time

00:00:00.05

Elapsed Time

00:00:00.12

Memory Required

4880 bytes

Additional Memory Required for Residual Plots

0 bytes

File Edit View Data Transform Analyze Direct Marketing Graphs Utilities Extensions Window Help Values None 1.0, 0 -1 y. None None [1.00, Stron... None 11.00, Stron.. None [1.00, Stron... None [1.00, Stron. None [1.00, Stron... None Name Width Decimals Label Missin Columns Ali Measure Role Nominal Right dOrdinalInput Scale Ordinal Ordinal Right d OrdinalInput Right OrdinalInput Ordinal Input String Numeric Numeric Numeric Numeric Numeric Numeric Numeric None Left In education Input Input Input None Right Right Right age CPS1 CPS2 CPS3 CPS4 CPS5 Right Input 10 12 13 14. 15 16 18 19 20 21 24 Data VieW Variable View IRM SPSS Statisti

Explanation / Answer

1. Introduction : In today’s age, the need for quality education has increased more than ever. And the level of communication happening globally, has brought to light the ideal circumstances of teaching, adapted to different environments. One of the variables that affects the quality of education of the students, can be, the quality of education of the teachers. We wish to find this out.

2. Statement of the problem : The issue of low quality of education for some special ed students, needs to be correlated with the factor(s) behind the same, so that the situation can be improved.

3. Purpose of the study: To find the relationship(or lack thereof) between the education (weighted by age) of teachers & the education of special ed students.

4. Research question : Does more education equate to better satifaction in the classroom or does education impact classroom satisfaction?

Ho : Education of teachers who work with special ed students does not equate to better satisfaction in the classroom.

H1 : Education of teachers who work with special ed students DOES equate to better satisfaction in the classroom.

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Question: Create your fictitious study, including the following components in AP

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