Wednesday
April 23, 2014

Homework Help: Statistic

Posted by Debi on Wednesday, September 14, 2011 at 3:55pm.

I am supposed to find the SD from the SE for the last two main effects. What I have so far is Verbal (M = 36.34, SD =___ ),(M = 44.02, SD = __), score averaged across grades 3 and 5 lower for AC schools (M = 36.25, SD =__ ) than for non AC schools (M = 44.12, SD = __).

The data set is below. i don't know how to find SD from this output.

General Linear Model





Notes

Output Created
2011-09-07T21:03:17.578

Comments


Input
Data
C:\Documents and Settings\User\Local Settings\Temporary Internet Files\Content.Outlook\SK981VS2\ODUNJO Dissertation Data set ITBS Scores AC and Non AC 2003 - 2010.sav

Active Dataset
DataSet1

Filter
<none>

Weight
<none>

Split File
<none>

N of Rows in Working Data File
316

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
GLM VocPct CompPct BY AC Grade

/WSFACTOR=teat 2 Polynomial

/METHOD=SSTYPE(3)

/EMMEANS=TABLES(AC)

/EMMEANS=TABLES(Grade)

/EMMEANS=TABLES(teat)

/EMMEANS=TABLES(AC*Grade)

/EMMEANS=TABLES(AC*teat)

/EMMEANS=TABLES(Grade*teat)

/EMMEANS=TABLES(AC*Grade*teat)

/CRITERIA=ALPHA(.05)

/WSDESIGN=teat

/DESIGN=AC Grade AC*Grade.



Resources
Processor Time
0:00:00.172

Elapsed Time
0:00:00.109






[DataSet1] C:\Documents and Settings\User\Local Settings\Temporary Internet Files\Content.Outlook\SK981VS2\ODUNJO Dissertation Data set ITBS Scores AC and Non AC 2003 - 2010.sav





Within-Subjects Factors

Measure:MEASURE_1

teat
Dependent Variable

1
VocPct

2
CompPct






Between-Subjects Factors



N

AC
0
204

1
112

Grade
3
160

5
156






Multivariate Testsb

Effect
Value
F
Hypothesis df
Error df
Sig.

teat
Pillai's Trace
.688
6.891E2
1.000
312.000
.000

Wilks' Lambda
.312
6.891E2
1.000
312.000
.000

Hotelling's Trace
2.209
6.891E2
1.000
312.000
.000

Roy's Largest Root
2.209
6.891E2
1.000
312.000
.000

teat * AC
Pillai's Trace
.023
7.415a
1.000
312.000
.007

Wilks' Lambda
.977
7.415a
1.000
312.000
.007

Hotelling's Trace
.024
7.415a
1.000
312.000
.007

Roy's Largest Root
.024
7.415a
1.000
312.000
.007

teat * Grade
Pillai's Trace
.076
25.735a
1.000
312.000
.000

Wilks' Lambda
.924
25.735a
1.000
312.000
.000

Hotelling's Trace
.082
25.735a
1.000
312.000
.000

Roy's Largest Root
.082
25.735a
1.000
312.000
.000

teat * AC * Grade
Pillai's Trace
.039
12.775a
1.000
312.000
.000

Wilks' Lambda
.961
12.775a
1.000
312.000
.000

Hotelling's Trace
.041
12.775a
1.000
312.000
.000

Roy's Largest Root
.041
12.775a
1.000
312.000
.000

a. Exact statistic






b. Design: Intercept + AC + Grade + AC * Grade

Within Subjects Design: teat










Mauchly's Test of Sphericityb

Measure:MEASURE_1






Within Subjects Effect
Mauchly's W
Approx. Chi-Square
df
Sig.
Epsilona

Greenhouse-Geisser
Huynh-Feldt
Lower-bound

teat
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. 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.

b. Design: Intercept + AC + Grade + AC * Grade

Within Subjects Design: teat









Tests of Within-Subjects Effects

Measure:MEASURE_1






Source
Type III Sum of Squares
df
Mean Square
F
Sig.

teat
Sphericity Assumed
8519.800
1
8519.800
689.138
.000

Greenhouse-Geisser
8519.800
1.000
8519.800
689.138
.000

Huynh-Feldt
8519.800
1.000
8519.800
689.138
.000

Lower-bound
8519.800
1.000
8519.800
689.138
.000

teat * AC
Sphericity Assumed
91.672
1
91.672
7.415
.007

Greenhouse-Geisser
91.672
1.000
91.672
7.415
.007

Huynh-Feldt
91.672
1.000
91.672
7.415
.007

Lower-bound
91.672
1.000
91.672
7.415
.007

teat * Grade
Sphericity Assumed
318.156
1
318.156
25.735
.000

Greenhouse-Geisser
318.156
1.000
318.156
25.735
.000

Huynh-Feldt
318.156
1.000
318.156
25.735
.000

Lower-bound
318.156
1.000
318.156
25.735
.000

teat * AC * Grade
Sphericity Assumed
157.941
1
157.941
12.775
.000

Greenhouse-Geisser
157.941
1.000
157.941
12.775
.000

Huynh-Feldt
157.941
1.000
157.941
12.775
.000

Lower-bound
157.941
1.000
157.941
12.775
.000

Error(teat)
Sphericity Assumed
3857.247
312
12.363



Greenhouse-Geisser
3857.247
312.000
12.363



Huynh-Feldt
3857.247
312.000
12.363



Lower-bound
3857.247
312.000
12.363








Tests of Within-Subjects Contrasts

Measure:MEASURE_1






Source
teat
Type III Sum of Squares
df
Mean Square
F
Sig.

teat
Linear
8519.800
1
8519.800
689.138
.000

teat * AC
Linear
91.672
1
91.672
7.415
.007

teat * Grade
Linear
318.156
1
318.156
25.735
.000

teat * AC * Grade
Linear
157.941
1
157.941
12.775
.000

Error(teat)
Linear
3857.247
312
12.363








Tests of Between-Subjects Effects

Measure:MEASURE_1

Transformed Variable:Average




Source
Type III Sum of Squares
df
Mean Square
F
Sig.

Intercept
933159.766
1
933159.766
6269.381
.000

AC
8952.167
1
8952.167
60.145
.000

Grade
6.578
1
6.578
.044
.834

AC * Grade
15.832
1
15.832
.106
.745

Error
46439.327
312
148.844








Estimated Marginal Means





1. AC

Measure:MEASURE_1



AC
Mean
Std. Error
95% Confidence Interval

Lower Bound
Upper Bound

0
44.118
.604
42.929
45.306

1
36.246
.816
34.641
37.851






2. Grade

Measure:MEASURE_1



Grade
Mean
Std. Error
95% Confidence Interval

Lower Bound
Upper Bound

3
40.075
.709
38.680
41.471

5
40.289
.726
38.860
41.717






3. teat

Measure:MEASURE_1



teat
Mean
Std. Error
95% Confidence Interval

Lower Bound
Upper Bound

1
36.343
.564
35.233
37.452

2
44.021
.490
43.057
44.986






4. AC * Grade

Measure:MEASURE_1




AC
Grade
Mean
Std. Error
95% Confidence Interval

Lower Bound
Upper Bound

0
3
44.176
.854
42.496
45.857

5
44.059
.854
42.378
45.740

1
3
35.974
1.133
33.745
38.203

5
36.519
1.174
34.209
38.828






5. AC * teat

Measure:MEASURE_1




AC
teat
Mean
Std. Error
95% Confidence Interval

Lower Bound
Upper Bound

0
1
40.676
.671
39.356
41.997

2
47.559
.583
46.411
48.706

1
1
32.009
.906
30.226
33.791

2
40.484
.788
38.934
42.034






6. Grade * teat

Measure:MEASURE_1




Grade
teat
Mean
Std. Error
95% Confidence Interval

Lower Bound
Upper Bound

3
1
35.494
.788
33.944
37.044

2
44.657
.685
43.309
46.004

5
1
37.191
.806
35.605
38.778

2
43.386
.701
42.007
44.765






7. AC * Grade * teat

Measure:MEASURE_1





AC
Grade
teat
Mean
Std. Error
95% Confidence Interval

Lower Bound
Upper Bound

0
3
1
39.471
.949
37.604
41.337

2
48.882
.825
47.260
50.505

5
1
41.882
.949
40.016
43.749

2
46.235
.825
44.612
47.858

1
3
1
31.517
1.258
29.042
33.993

2
40.431
1.094
38.279
42.583

5
1
32.500
1.304
29.934
35.066

2
40.537
1.134
38.307
42.767








From: Tammy Greer
Sent: Wednesday, September 07, 2011 8:57 PM
To: 'Adebimpe Odunjo'
Subject: RE: The Whole Enchilada!





Correlations



TeachingCondition
TeachAutonomy
WritersWkShopPrep
OverallImplement
SameStandards
AllStudLearn
ReadWkShopPrep

TeachingCondition
Pearson Correlation
1.000
-.092
.644*
.099
-.153
.525
.442

Sig. (2-tailed)

.477
.018
.747
.618
.066
.130

N
62.000
62
13
13
13
13
13

TeachAutonomy
Pearson Correlation
-.092
1.000
.125
.206
.301
.192
.174

Sig. (2-tailed)
.477

.685
.499
.318
.531
.570

N
62
62.000
13
13
13
13
13

WritersWkShopPrep
Pearson Correlation
.644*
.125
1.000
.297
-.133
.753**
.762**

Sig. (2-tailed)
.018
.685

.324
.665
.003
.002

N
13
13
13.000
13
13
13
13

OverallImplement
Pearson Correlation
.099
.206
.297
1.000
.156
.154
.126

Sig. (2-tailed)
.747
.499
.324

.611
.616
.683

N
13
13
13
13.000
13
13
13

SameStandards
Pearson Correlation
-.153
.301
-.133
.156
1.000
.151
.169

Sig. (2-tailed)
.618
.318
.665
.611

.622
.580

N
13
13
13
13
13.000
13
13

AllStudLearn
Pearson Correlation
.525
.192
.753**
.154
.151
1.000
.892**

Sig. (2-tailed)
.066
.531
.003
.616
.622

.000

N
13
13
13
13
13
13.000
13

ReadWkShopPrep
Pearson Correlation
.442
.174
.762**
.126
.169
.892**
1.000

Sig. (2-tailed)
.130
.570
.002
.683
.580
.000


N
13
13
13
13
13
13
13.000

*. Correlation is significant at the 0.05 level (2-tailed).







**. Correlation is significant at the 0.01 level (2-tailed).

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