## For Liam Garry: Univariate Analysis of Variance

For Liam Garry: Univariate Analysis of Variance

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UNIANOVA class BY trouble

/METHOD=SSTYPE(3)

/INTERCEPT=INCLUDE

/POSTHOC=trouble(TUKEY QREGW C)

/EMMEANS=TABLES(trouble)

/PRINT=ETASQ HOMOGENEITY DESCRIPTIVE

/CRITERIA=ALPHA(.05)

/DESIGN=trouble.

**Univariate Analysis of Variance**

**Notes**

Output Created

23-Apr-2014 11:05:27

Comments

Input

Data

/Users/dan2088873/Downloads/Project 2 Part 1 (Lab 10) Data File.sav

Active Dataset

DataSet1

Filter

<none>

Weight

<none>

Split File

<none>

N of Rows in Working Data File

40

Missing Value Handling

Definition of Missing

User-defined missing values are treated as missing.

Cases Used

Statistics are based on all cases with valid data for all variables in the model.

Syntax

UNIANOVA class BY trouble

/METHOD=SSTYPE(3)

/INTERCEPT=INCLUDE

/POSTHOC=trouble(TUKEY QREGW C)

/EMMEANS=TABLES(trouble)

/PRINT=ETASQ HOMOGENEITY DESCRIPTIVE

/CRITERIA=ALPHA(.05)

/DESIGN=trouble.

Resources

Processor Time

00 00:00:00.006

Elapsed Time

00 00:00:00.000

[DataSet1] /Users/dan2088873/Downloads/Project 2 Part 1 (Lab 10) Data File.sav

**Warnings**

Post hoc tests are not performed for Number of times sent to office because at least one group has fewer than two cases.

**Between-Subjects Factors**

N

Number of times sent to office

3

1

4

4

5

6

6

5

7

9

8

3

9

5

10

1

11

2

12

1

13

1

15

1

17

1

**Descriptive Statistics**

Dependent Variable:Type of classroom management strategy

Number of times sent to office

Mean

Std. Deviation

N

3

3.00

.

1

4

1.50

1.000

4

5

2.00

.632

6

6

1.60

.548

5

7

1.78

.667

9

8

2.00

.000

3

9

2.00

.000

5

10

3.00

.

1

11

2.50

.707

2

12

3.00

.

1

13

3.00

.

1

15

3.00

.

1

17

3.00

.

1

Total

2.03

.698

40

**Levene’s Test of Equality of Error Variances** **a**

Dependent Variable:Type of classroom management strategy

F

df1

df2

Sig.

1.873

12

27

.086

Tests the null hypothesis that the error variance of the dependent variable is equal across groups.

a. Design: Intercept + trouble

**Tests of Between-Subjects Effects**

Dependent Variable:Type of classroom management strategy

Source

Type III Sum of Squares

df

Mean Square

F

Sig.

Partial Eta Squared

Corrected Model

8.719a

12

.727

1.913

.079

.460

Intercept

126.859

1

126.859

333.984

.000

.925

trouble

8.719

12

.727

1.913

.079

.460

Error

10.256

27

.380

Total

183.000

40

Corrected Total

18.975

39

a. R Squared = .460 (Adjusted R Squared = .219)

**Estimated Marginal Means**

**Number of times sent to office**

Dependent Variable:Type of classroom management strategy

Number of times sent to office

Mean

Std. Error

95% Confidence Interval

Lower Bound

Upper Bound

3

3.000

.616

1.735

4.265

4

1.500

.308

.868

2.132

5

2.000

.252

1.484

2.516

6

1.600

.276

1.034

2.166

7

1.778

.205

1.356

2.199

8

2.000

.356

1.270

2.730

9

2.000

.276

1.434

2.566

10

3.000

.616

1.735

4.265

11

2.500

.436

1.606

3.394

12

3.000

.616

1.735

4.265

13

3.000

.616

1.735

4.265

15

3.000

.616

1.735

4.265

17

3.000

.616

1.735

4.265

GET

FILE=’/Users/dan2088873/Downloads/Project 2 Part 2 (Lab 9) Data File.sav’.

Warning. Command name: GET FILE

SPSS Statistics data file “/Users/dan2088873/Downloads/Project 2 Part 2 (Lab 9) Data File.sav” is written in a character encoding (windows-1252)

incompatible with the current LOCALE setting. It may not be readable.

Consider changing LOCALE or setting UNICODE on. (DATA 1721)

DATASET NAME DataSet2 WINDOW=FRONT.

UNIANOVA hair BY extrover

/METHOD=SSTYPE(3)

/INTERCEPT=INCLUDE

/POSTHOC=extrover(TUKEY QREGW C)

/PRINT=ETASQ HOMOGENEITY DESCRIPTIVE

/CRITERIA=ALPHA(.05)

/DESIGN=extrover.

**Univariate Analysis of Variance**

**Notes**

Output Created

23-Apr-2014 11:27:13

Comments

Input

Data

/Users/dan2088873/Downloads/Project 2 Part 2 (Lab 9) Data File.sav

Active Dataset

DataSet2

Filter

<none>

Weight

<none>

Split File

<none>

N of Rows in Working Data File

18

Missing Value Handling

Definition of Missing

User-defined missing values are treated as missing.

Cases Used

Statistics are based on all cases with valid data for all variables in the model.

Syntax

UNIANOVA hair BY extrover

/METHOD=SSTYPE(3)

/INTERCEPT=INCLUDE

/POSTHOC=extrover(TUKEY QREGW C)

/PRINT=ETASQ HOMOGENEITY DESCRIPTIVE

/CRITERIA=ALPHA(.05)

/DESIGN=extrover.

Resources

Processor Time

00 00:00:00.005

Elapsed Time

00 00:00:00.000

[DataSet2] /Users/dan2088873/Downloads/Project 2 Part 2 (Lab 9) Data File.sav

**Warnings**

Post hoc tests are not performed for Social Extroversion because at least one group has fewer than two cases.

**Between-Subjects Factors**

N

Social Extroversion

1

1

2

5

3

4

4

2

5

4

6

1

10

1

**Descriptive Statistics**

Dependent Variable:Hair Color

Social Extroversion

Mean

Std. Deviation

N

1

3.00

.

1

2

2.40

.894

5

3

2.00

.816

4

4

2.50

.707

2

5

1.50

.577

4

6

1.00

.

1

10

1.00

.

1

Total

2.00

.840

18

**Levene’s Test of Equality of Error Variances** **a**

Dependent Variable:Hair Color

F

df1

df2

Sig.

1.121

6

11

.410

Tests the null hypothesis that the error variance of the dependent variable is equal across groups.

a. Design: Intercept + extrover

**Tests of Between-Subjects Effects**

Dependent Variable:Hair Color

Source

Type III Sum of Squares

df

Mean Square

F

Sig.

Partial Eta Squared

Corrected Model

5.300a

6

.883

1.450

.280

.442

Intercept

42.752

1

42.752

70.190

.000

.865

extrover

5.300

6

.883

1.450

.280

.442

Error

6.700

11

.609

Total

84.000

18

Corrected Total

12.000

17

a. R Squared = .442 (Adjusted R Squared = .137)

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