General Linear Model Within-Subjects Factors Measure: MEASURE_1 LOP Dependent Variable 1 Shallow

General Linear Model

Within-Subjects Factors

Measure: MEASURE_1

LOP

Dependent Variable

1

Shallow

2

Deep

Between-Subjects Factors

Value Label

N

Awareness

1

Aware

32

2

Unaware

32

Multivariate Testsa

Effect

Value

F

Hypothesis df

Error df

Sig.

LOP

Pillai’s Trace

.459

52.699b

1.000

62.000

.000

Wilks’ Lambda

.541

52.699b

1.000

62.000

.000

Hotelling’s Trace

.850

52.699b

1.000

62.000

.000

Roy’s Largest Root

.850

52.699b

1.000

62.000

.000

LOP * Awareness

Pillai’s Trace

.003

.169b

1.000

62.000

.683

Wilks’ Lambda

.997

.169b

1.000

62.000

.683

Hotelling’s Trace

.003

.169b

1.000

62.000

.683

Roy’s Largest Root

.003

.169b

1.000

62.000

.683

a. Design: Intercept + Awareness

Within Subjects Design: LOP

b. Exact statistic

Mauchly’s Test of Sphericitya

Measure: MEASURE_1

Within Subjects Effect

Mauchly’s W

Approx. Chi-Square

df

Sig.

Epsilonb

Greenhouse-Geisser

Huynh-Feldt

Lower-bound

LOP

1.000

.000

0

.

1.000

1.000

1.000

Tests the null hypothesis that the error covariance matrix of the orthonormalized transformed dependent variables is proportional to an identity matrix.

a. Design: Intercept + Awareness

Within Subjects Design: LOP

b. May be used to adjust the degrees of freedom for the averaged tests of significance. Corrected tests are displayed in the Tests of Within-Subjects Effects table.

Tests of Within-Subjects Effects

Measure: MEASURE_1

Source

Type III Sum of Squares

df

Mean Square

F

Sig.

LOP

Sphericity Assumed

2.552

1

2.552

52.699

.000

Greenhouse-Geisser

2.552

1.000

2.552

52.699

.000

Huynh-Feldt

2.552

1.000

2.552

52.699

.000

Lower-bound

2.552

1.000

2.552

52.699

.000

LOP * Awareness

Sphericity Assumed

.008

1

.008

.169

.683

Greenhouse-Geisser

.008

1.000

.008

.169

.683

Huynh-Feldt

.008

1.000

.008

.169

.683

Lower-bound

.008

1.000

.008

.169

.683

Error(LOP)

Sphericity Assumed

3.003

62

.048

Greenhouse-Geisser

3.003

62.000

.048

Huynh-Feldt

3.003

62.000

.048

Lower-bound

3.003

62.000

.048

Tests of Within-Subjects Contrasts

Measure: MEASURE_1

Source

LOP

Type III Sum of Squares

df

Mean Square

F

Sig.

LOP

Linear

2.552

1

2.552

52.699

.000

LOP * Awareness

Linear

.008

1

.008

.169

.683

Error(LOP)

Linear

3.003

62

.048

Tests of Between-Subjects Effects

Measure: MEASURE_1

Source

Type III Sum of Squares

df

Mean Square

F

Sig.

Intercept

58.646

1

58.646

898.961

.000

Awareness

.188

1

.188

2.879

.095

Error

4.045

62

.065

Estimated Marginal Means

1. Awareness

Measure: MEASURE_1

Awareness

Mean

Std. Error

95% Confidence Interval

Lower Bound

Upper Bound

Aware

.715

.032

.651

.779

Unaware

.639

.032

.575

.702

2. LOP

Measure: MEASURE_1

LOP

Mean

Std. Error

95% Confidence Interval

Lower Bound

Upper Bound

Shallow

.536

.032

.473

.599

Deep

.818

.028

.762

.874

3. Awareness * LOP

Measure: MEASURE_1

Awareness

LOP

Mean

Std. Error

95% Confidence Interval

Lower Bound

Upper Bound

Aware

Shallow

.582

.045

.493

.671

Deep

.848

.040

.769

.927

Unaware

Shallow

.489

.045

.400

.579

Deep

.788

.040

.709

.867

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