Mod 5 - Graphing homework

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2Module3Two-wayANOVA_MarthaRamsey2.rtf

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Module 3 – Two-way ANOVA

Martha Ramsey

Saint Leo University

Research Methods II: PSY 535

Instructor Keith Burton

July 24, 2022

Your temporary usage period for IBM SPSS Statistics will expire in 4913 days.

SAVE OUTFILE='C:\Users\HP 840 G3\Downloads\Homework Module 3.sav'

/COMPRESSED.

UNIANOVA Memory BY Interference Importance

/METHOD=SSTYPE(3)

/INTERCEPT=INCLUDE

/EMMEANS=TABLES(OVERALL)

/EMMEANS=TABLES(Interference) COMPARE ADJ(LSD)

/EMMEANS=TABLES(Importance) COMPARE ADJ(LSD)

/EMMEANS=TABLES(Interference*Importance)

/PRINT ETASQ DESCRIPTIVE HOMOGENEITY

/CRITERIA=ALPHA(.05)

/DESIGN=Interference Importance Interference*Importance.

Univariate Analysis of Variance

Notes

Output Created

19-JUL-2022 18:54:00

Comments

Input

Data

C:\Users\HP 840 G3\Downloads\Homework Module 3.sav

Active Dataset

DataSet0

Filter

<none>

Weight

<none>

Split File

<none>

N of Rows in Working Data File

21

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 Memory BY Interference Importance

/METHOD=SSTYPE(3)

/INTERCEPT=INCLUDE

/EMMEANS=TABLES(OVERALL)

/EMMEANS=TABLES(Interference) COMPARE ADJ(LSD)

/EMMEANS=TABLES(Importance) COMPARE ADJ(LSD)

/EMMEANS=TABLES(Interference*Importance)

/PRINT ETASQ DESCRIPTIVE HOMOGENEITY

/CRITERIA=ALPHA(.05)

/DESIGN=Interference Importance Interference*Importance.

Resources

Processor Time

00:00:00.02

Elapsed Time

00:00:00.04

[DataSet0] C:\Users\HP 840 G3\Downloads\Homework Module 3.sav

Between-Subjects Factors

Value Label

N

Interference

1.00

interference

10

2.00

no interference

10

Importance

1.00

not important

10

2.00

highly important

10

Descriptive Statistics

Dependent Variable: Memory

Interference

Importance

Mean

Std. Deviation

N

interference

not important

44.8000

12.75539

5

highly important

73.8000

6.76018

5

Total

59.3000

18.06193

10

no interference

not important

65.8000

5.35724

5

highly important

95.0000

2.23607

5

Total

80.4000

15.86891

10

Total

not important

55.3000

14.40717

10

highly important

84.4000

12.13992

10

Total

69.8500

19.77312

20

Levene's Test of Equality of Error Variances a,b

Levene Statistic

df1

df2

Sig.

Memory

Based on Mean

11.196

3

16

.000

Based on Median

1.790

3

16

.190

Based on Median and with adjusted df

1.790

3

7.790

.229

Based on trimmed mean

10.552

3

16

.000

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

a. Dependent variable: Memory

b. Design: Intercept + Interference + Importance + Interference * Importance

Tests of Between-Subjects Effects

Dependent Variable: Memory

Source

Type III Sum of Squares

df

Mean Square

F

Sig.

Corrected Model

6460.150a

3

2153.383

35.578

.000

Intercept

97580.450

1

97580.450

1612.234

.000

Interference

2226.050

1

2226.050

36.779

.000

Importance

4234.050

1

4234.050

69.955

.000

Interference * Importance

.050

1

.050

.001

.977

Error

968.400

16

60.525

Total

105009.000

20

Corrected Total

7428.550

19

Tests of Between-Subjects Effects

Dependent Variable: Memory

Source

Partial Eta Squared

Corrected Model

.870

Intercept

.990

Interference

.697

Importance

.814

Interference * Importance

.000

Error

Total

Corrected Total

a. R Squared = .870 (Adjusted R Squared = .845)

Estimated Marginal Means

1. Grand Mean

Dependent Variable: Memory

Mean

Std. Error

95% Confidence Interval

Lower Bound

Upper Bound

69.850

1.740

66.162

73.538

2. Interference

Estimates

Dependent Variable: Memory

Interference

Mean

Std. Error

95% Confidence Interval

Lower Bound

Upper Bound

interference

59.300

2.460

54.085

64.515

no interference

80.400

2.460

75.185

85.615

Pairwise Comparisons

Dependent Variable: Memory

(I) Interference

(J) Interference

Mean Difference (I-J)

Std. Error

Sig.b

95% Confidence Interval for Differenceb

Lower Bound

interference

no interference

-21.100*

3.479

.000

-28.476

no interference

interference

21.100*

3.479

.000

13.724

Pairwise Comparisons

Dependent Variable: Memory

(I) Interference

(J) Interference

95% Confidence Interval for Difference

Upper Bound

interference

no interference

-13.724

no interference

interference

28.476

Based on estimated marginal means

*. The mean difference is significant at the .05 level.

b. Adjustment for multiple comparisons: Least Significant Difference (equivalent to no adjustments).

Univariate Tests

Dependent Variable: Memory

Sum of Squares

df

Mean Square

F

Sig.

Partial Eta Squared

Contrast

2226.050

1

2226.050

36.779

.000

.697

Error

968.400

16

60.525

The F tests the effect of Interference. This test is based on the linearly independent pairwise comparisons among the estimated marginal means.

3. Importance

Estimates

Dependent Variable: Memory

Importance

Mean

Std. Error

95% Confidence Interval

Lower Bound

Upper Bound

not important

55.300

2.460

50.085

60.515

highly important

84.400

2.460

79.185

89.615

Pairwise Comparisons

Dependent Variable: Memory

(I) Importance

(J) Importance

Mean Difference (I-J)

Std. Error

Sig.b

95% Confidence Interval for Differenceb

Lower Bound

not important

highly important

-29.100*

3.479

.000

-36.476

highly important

not important

29.100*

3.479

.000

21.724

Pairwise Comparisons

Dependent Variable: Memory

(I) Importance

(J) Importance

95% Confidence Interval for Difference

Upper Bound

not important

highly important

-21.724

highly important

not important

36.476

Based on estimated marginal means

*. The mean difference is significant at the .05 level.

b. Adjustment for multiple comparisons: Least Significant Difference (equivalent to no adjustments).

Univariate Tests

Dependent Variable: Memory

Sum of Squares

df

Mean Square

F

Sig.

Partial Eta Squared

Contrast

4234.050

1

4234.050

69.955

.000

.814

Error

968.400

16

60.525

The F tests the effect of Importance. This test is based on the linearly independent pairwise comparisons among the estimated marginal means.

4. Interference * Importance

Dependent Variable: Memory

Interference

Importance

Mean

Std. Error

95% Confidence Interval

Lower Bound

Upper Bound

interference

not important

44.800

3.479

37.424

52.176

highly important

73.800

3.479

66.424

81.176

no interference

not important

65.800

3.479

58.424

73.176

highly important

95.000

3.479

87.624

102.376