‫פלט מדידות חוזרות חד כיווני‬
GLM readstra problem helpread
/WSFACTOR=motivation 3 Polynomial
/METHOD=SSTYPE(3)
/PLOT=PROFILE(motivation)
/EMMEANS=TABLES(OVERALL)
/EMMEANS=TABLES(motivation) COMPARE ADJ(BONFERRONI)
/PRINT=DESCRIPTIVE ETASQ
/CRITERIA=ALPHA(.05)
/WSDESIGN=motivation.
General Linear Model
[DataSet1] C:\Users\user\Downloads\datar (8).sav
Within-Subjects Factors
Measure: MEASURE_1
motivation
Dependent
Variable
1
readstra
2
problem
3
helpread
Descriptive Statistics
Mean
Std. Deviation
N
readstra
2.3641
.93890
60
problem
2.5583
1.15748
60
helpread
2.3130
.98056
60
Multivariate Testsa
Effect
Value
F
Hypothesis df
Error df
Sig.
Partial Eta
Squared
.108
3.499b
2.000
58.000
.037
.108
Wilks' Lambda
.892
3.499b
2.000
58.000
.037
.108
Hotelling's Trace
.121
3.499b
2.000
58.000
.037
.108
.121
3.499b
2.000
58.000
.037
.108
Pillai's Trace
motivation
Roy's Largest Root
a. Design: Intercept
Within Subjects Design: motivation
b. Exact statistic
Mauchly's Test of Sphericitya
Measure: MEASURE_1
Within Subjects Effect
Mauchly's W
Approx. Chi-
df
Epsilonb
Sig.
Square
Greenhouse-
Huynh-Feldt
Lower-bound
Geisser
motivation
.811
12.121
2
.002
.841
.863
Tests the null hypothesis that the error covariance matrix of the orthonormalized transformed dependent variables is proportional to an identity matrix.
a. Design: Intercept
Within Subjects Design: motivation
.500
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.
‫כיווני‬-‫תוצאות ניתוח מדידות חוזרות חד‬
‫ני‬ests of Within-Subjects Effects
Measure: MEASURE_1
Source
Type III Sum of
df
Mean Square
F
Sig.
Partial Eta
Squares
Sphericity Assumed
Squared
2.011
2
1.005
5.063
.008
.079
Greenhouse-Geisser
2.011
1.683
1.195
5.063
.012
.079
Huynh-Feldt
2.011
1.727
1.165
5.063
.011
.079
Lower-bound
2.011
1.000
2.011
5.063
.028
.079
Sphericity Assumed
23.435
118
.199
Greenhouse-Geisser
23.435
99.277
.236
Huynh-Feldt
23.435
101.865
.230
Lower-bound
23.435
59.000
.397
motivation
Error(motivation)
Tests of Within-Subjects Contrasts
Measure: MEASURE_1
Source
motivation
Type III Sum of
df
Mean Square
F
Sig.
Partial Eta
Squares
Linear
Squared
.078
1
.078
.682
.412
.011
Quadratic
1.932
1
1.932
6.849
.011
.104
Linear
6.787
59
.115
16.647
59
.282
motivation
Error(motivation)
Quadratic
Tests of Between-Subjects Effects
Measure: MEASURE_1
Transformed Variable: Average
Source
Type III Sum of
df
Mean Square
F
Sig.
Partial Eta
Squares
Intercept
Error
Squared
1047.020
1
1047.020
164.349
59
2.786
Estimated Marginal Means
1. Grand Mean
Measure: MEASURE_1
Mean
Std. Error
95% Confidence Interval
Lower Bound
2.412
.124
2.163
Upper Bound
2.661
375.871
.000
.864
2. motivation
Estimates
Measure: MEASURE_1
motivation
Mean
Std. Error
95% Confidence Interval
Lower Bound
Upper Bound
1
2.364
.121
2.122
2.607
2
2.558
.149
2.259
2.857
3
2.313
.127
2.060
2.566
Pairwise Comparisons
Measure: MEASURE_1
(I) motivation
(J) motivation
Mean Difference
Std. Error
Sig.b
(I-J)
Lower Bound
Upper Bound
2
-.194
.086
.083
-.406
.018
3
.062
.204
-.018
.406
.016
.474
.062
1.000
.083
.032
1.000
-.101
1
.051
.194
.245*
-.051
-.204
.101
2
-.245*
.093
.032
-.474
-.016
1
2
95% Confidence Interval for Differenceb
1
3
3
.086
.093
Based on estimated marginal means
*. The mean difference is significant at the .05 level.
b. Adjustment for multiple comparisons: Bonferroni.
Multivariate Tests
Value
F
Hypothesis df
Error df
Sig.
Partial Eta
Squared
Pillai's trace
Wilks' lambda
Hotelling's trace
Roy's largest root
.108
3.499a
2.000
58.000
.037
.108
.892
3.499
a
2.000
58.000
.037
.108
.121
3.499a
2.000
58.000
.037
.108
.121
3.499a
2.000
58.000
.037
.108
Each F tests the multivariate effect of motivation. These tests are based on the linearly independent pairwise comparisons
among the estimated marginal means.
a. Exact statistic
Profile Plots