final -spss lab 1

8/10/2019 Final -Spss Lab 1

1/12

Paul Jorel Santos

MST-Math

SCE500M

SPSS Lab Activity # 1High Anxiety * Recall Words (High Anxiety) Crosstabulation

Count

Recall Words (High Anxiety) Total

3 4 5 6 7 8 9 10 11 12 13 15

High AnxietyPositive 1 0 2 1 4 2 6 3 2 2 4 2 29

negative 0 1 3 1 3 2 5 3 4 2 3 2 29

Total 1 1 5 2 7 4 11 6 6 4 7 4 58


2/12

Low Anxiety * Recall Words (Low Anxiety) Crosstabulation

Count

Recall Words (Low Anxiety) Total

1 2 3 4 5 6 7 8 9 10 11 12 13 14

Low AnxietyPositive 0 1 1 2 2 3 3 3 4 4 2 1 2 1 29

Negative 1 0 3 0 3 2 4 4 3 4 1 0 2 2 29

Total 1 1 4 2 5 5 7 7 7 8 3 1 4 3 58


3/12

Paul Jorel Santos

MST-Math

SCE500M

SPSS Lab Activity # 1ANOVA

High Anxiety

Sum of Squares df Mean Square F Sig.

Between Groups

(Combined) .811 11 .074 .248 .992

Linear TermWeighted .000 1 .000 .002 .967

Deviation .810 10 .081 .272 .984

Within Groups 13.689 46 .298

Total 14.500 57

ANOVA

Low Anxiety

Sum of Squares df Mean Square F Sig.

Between Groups

(Combined) 1.874 13 .144 .502 .911

Linear Term

Unweighted .025 1 .025 .088 .768

Weighted .021 1 .021 .074 .787

Deviation 1.853 12 .154 .538 .878

Within Groups 12.626 44 .287

Total 14.500 57


4/12

Paul Jorel Santos

MST-Math

SCE500M

SPSS Lab Activity # 1

Univariate Analysis of Variance

Between-Subjects Factors

Value Label N

High Anxiety

1 Positive 29

2 negative 29

Tests of Between-Subjects Effects

Dependent Variable: Recall Words (High Anxiety)

Source Type III Sum of

Squares

df Mean Square F Sig.

Corrected Model .017a 1 .017 .002 .965

Intercept 5196.569 1 5196.569 581.534 .000

HIGHA .017 1 .017 .002 .965

Error 500.414 56 8.936

Total 5697.000 58

Corrected Total 500.431 57

a. R Squared = .000 (Adjusted R Squared = -.018)

Univariate Analysis of Variance


Value Label N

Low Anxiety1 Positive 29

2 Negative 29


Dependent Variable: Recall Words (Low Anxiety)

Source Type III Sum ofSquares

df Mean Square F Sig.

Corrected Model .845a 1 .845 .082 .776

Intercept 3728.017 1 3728.017 361.106 .000

LOWA .845 1 .845 .082 .776

Error 578.138 56 10.324

Total 4307.000 58

Corrected Total 578.983 57a. R Squared = .001 (Adjusted R Squared = -.016)


5/12

Paul Jorel Santos

MST-Math

SCE500M

SPSS Lab Activity # 1

Multivariate Testsa

Effect Value F Hypothesis

df

Error df Sig. Partial Eta

Squared

Noncent.

Parameter

Observed

Powerc

Anxiety2

Pillai's Trace .001 .044b 1.000 56.000 .834 .001 .044 .055

Wilks' Lambda .999 .044b 1.000 56.000 .834 .001 .044 .055

Hotelling's Trace .001 .044b 1.000 56.000 .834 .001 .044 .055

Roy's Largest

Root.001 .044

b 1.000 56.000 .834 .001 .044 .055

Anxiety2 * Anxiety

Pillai's Trace .000 .023b 1.000 56.000 .881 .000 .023 .053

Wilks' Lambda 1.000 .023b 1.000 56.000 .881 .000 .023 .053

Hotelling's Trace .000 .023b 1.000 56.000 .881 .000 .023 .053

Roy's Largest

Root.000 .023

b 1.000 56.000 .881 .000 .023 .053

a. Design: Intercept + Anxiety

Within Subjects Design: Anxiety2

b. Exact statistic

c. Computed using alpha = .05

General Linear Model

Within-Subjects Factors

Measure: recall

Anxiety2 Dependent

Variable

1 Positive

2 negative


Value Label N

Anxiety Level1 Low Anxiety 29

2 High Anxiety 29


6/12

Descriptive Statistics

Anxiety Level Mean Std. Deviation N

Positive Words

Low Anxiety 9.4828 3.00738 29

High Anxiety 8.1379 3.07901 29

Total 8.8103 3.09191 58

Negative Words

Low Anxiety 9.45 2.971 29

High Anxiety 7.93 3.411 29

Total 8.69 3.262 58

Box's Test of Equality

of Covariance

Matricesa

Box's M 1.101

F .353

df1 3

df2 564480.000

Sig. .787

Tests the null hypothesis that

the observed covariance

matrices of the dependent

variables are equal acrossgroups.

a. Design: Intercept +

Anxiety

Within Subjects Design:

Anxiety2

Bartlett's Test of Sphericity

a

Likelihood Ratio .918

Approx. Chi-Square .163

df 2

Sig. .922

Tests the null hypothesis that the

residual covariance matrix is

proportional to an identity matrix.


7/12



Mauchly's Test of Sphericity

a

Measure: recall

Within Subjects Effect Mauchly's W Approx. Chi-

Square

df Sig. Epsilonb

Greenhouse-

Geisser

Huynh-Feldt Lower-bound

Anxiety2 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.



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: recall

Source Type III Sum

of Squares

df Mean

Square

F Sig. Partial Eta

Squared

Noncent.

Parameter

Observed

Powera

Anxiety2

Sphericity

Assumed.422 1 .422 .044 .834 .001 .044 .055

Greenhouse-

Geisser .422 1.000 .422 .044 .834 .001 .044 .055

Huynh-Feldt .422 1.000 .422 .044 .834 .001 .044 .055

Lower-bound .422 1.000 .422 .044 .834 .001 .044 .055

Anxiety2 * Anxiety

Sphericity

Assumed.216 1 .216 .023 .881 .000 .023 .053

Greenhouse-

Geisser.216 1.000 .216 .023 .881 .000 .023 .053

Huynh-Feldt .216 1.000 .216 .023 .881 .000 .023 .053

Lower-bound .216 1.000 .216 .023 .881 .000 .023 .053

Error(Anxiety2)

Sphericity

Assumed533.862 56 9.533

Greenhouse-

Geisser533.862 56.000 9.533

Huynh-Feldt 533.862 56.000 9.533

Lower-bound 533.862 56.000 9.533


8/12

a. Computed using alpha = .05

Tests of Within-Subjects Contrasts

Measure: recall

Source Anxiety2 Type III Sum

of Squares

df Mean

Square

F Sig. Partial Eta

Squared

Noncent.

Parameter

Observed Powera

Anxiety2 Linear .422 1 .422 .044 .834 .001 .044 .055

Anxiety2 * Anxiety Linear .216 1 .216 .023 .881 .000 .023 .053

Error(Anxiety2) Linear 533.862 56 9.533


Levene's Test of Equality of Error Variancesa

F df1 df2 Sig.

Positive Words .040 1 56 .841Negative Words .214 1 56 .646

Tests the null hypothesis that the error variance of the dependent

variable is equal across groups.




Measure: recall

Transformed Variable: Average

Source Type III Sum of

Squares

df Mean Square F Sig. Partial Eta

Squared

Noncent.

Parameter

Observed Powera

Intercept 8881.250 1 8881.250 891.529 .000 .941 891.529 1.000

Anxiety 59.388 1 59.388 5.962 .018 .096 5.962 .670

Error 557.862 56 9.962



9/12

Parameter Estimates

Dependent

Variable

Parameter B Std.

Error

t Sig. 95% Confidence

Interval

Partial Eta

Squared

Noncent.

Parameter

Observe

d Powerb

Lower

Bound

Upper

Bound

Positive Words

Intercept 8.138 .565 14.400 .000 7.006 9.270 .787 14.400 1.000

[Anxiety=1] 1.345 .799 1.683 .098 -.256 2.946 .048 1.683 .380

[Anxiety=2] 0a . . . . . . . .

Negative Words

Intercept 7.931 .594 13.352 .000 6.741 9.121 .761 13.352 1.000

[Anxiety=1] 1.517 .840 1.806 .076 -.166 3.200 .055 1.806 .427

[Anxiety=2] 0a . . . . . . . .

a. This parameter is set to zero because it is redundant.

b. Computed using alpha = .05

General Estimable Functiona

Parameter Contrast

L1 L2

Intercept 1 0

[Anxiety=1] 0 1

[Anxiety=2] 1 -1


Within Subjects Design: Anxiety2Transformation Coefficients (M Matrix)

Average

Measure: recall

Transformed Variable: AVERAGE

Positive Words .707

Negative Words .707

Anxiety2

a

Measure: recall

Dependent Variable Anxiety2

Linear

Positive Words -.707

Negative Words .707


10/12

a. The contrasts for the within subjects

factors are:

Anxiety2: Polynomial contrast

Within-Subjects SSCP Matrix

Anxiety2

Anxiety2 : Row Anxiety2 : Column

Linear

HypothesisIntercept Linear .422

Anxiety Linear .216

Error Linear 533.862

Based on Type III Sum of Squares

Between-Subjects SSCP Matrix

recall

HypothesisIntercept recall 8881.250

Anxiety recall 59.388

Error recall 557.862


Residual SSCP Matrix

Positive Words Negative Words

Sum-of-Squares and Cross-

Products

Positive Words 518.690 12.000

Negative Words 12.000 573.034

CovariancePositive Words 9.262 .214

Negative Words .214 10.233

Correlation Positive Words 1.000 .022

Negative Words .022 1.000



11/12

Lack of Fit

Multivariate Tests

Dependent Variables Value F Hypothesi

s df

Error df Sig. Partial Eta

Squared

Noncent.

Parameter

Observe

d Powerb

Positive Words, Negative

Words

Pillai's Trace .000 . .000 .000 . . . .

Wilks' Lambda 1.000 . .000 55.500 . . . .

Hotelling's Trace .000 . .000 2.000 . . . .

Roy's Largest

Root .000 .000

a

2.000 54.000 1.000 .000 .000 .050

Positive Words

Pillai's Trace .000 . .000 .000 . . . .

Wilks' Lambda 1.000 . .000 56.000 . . . .


Roy's Largest

Root.000 .000

a 1.000 55.000 1.000 .000 .000 .050

Negative Words

Pillai's Trace .000 . .000 .000 . . . .

Wilks' Lambda 1.000 . .000 56.000 . . . .


Roy's Largest

Root.000 .000

a 1.000 55.000 1.000 .000 .000 .050

a. Exact statistic

b. Computed using alpha = .05

Univariate Tests

Dependent Variable Source Sum of

Squares

df Mean

Square

F Sig. Partial Eta

Squared

Noncent.

Parameter

Observed Powera

Positive WordsLack of Fit .000 0 . . . .000 .000 .

Pure Error 518.690 56 9.262

Negative Words Lack of Fit .000 0 . . . .000 .000 .


12/12

Pure Error 573.034 56 10.233


SSCP Matrix

Positive Words Negative Words

Lack of FitPositive Words .000 .000

Negative Words .000 .000

Pure Error

Positive Words 518.690 12.000

Negative Words 12.000 573.034

Estimated Marginal Means

Anxiety2

Transformation Coefficients (M Matrix)

Measure: recall

Dependent Variable Anxiety2

1 2

Positive Words 1 0

Negative Words 0 1

Estimates

Measure: recall

Anxiety2 Mean Std. Error 95% Confidence Interval

Lower Bound Upper Bound

1 8.810 .400 8.010 9.611

2 8.690 .420 7.848 9.531

final -spss lab 1

Documents