Experimental Research paper

profileMasw101
py356imspss.docx

GET DATA

/TYPE=XLSX

/FILE='C:\Users\student\Downloads\VisualSearchShapes Sum19 BothSect TriByTrixlsx.xlsx'

/SHEET=name 'VisSearShapes'

/CELLRANGE=FULL

/READNAMES=ON

/DATATYPEMIN PERCENTAGE=95.0

/HIDDEN IGNORE=YES.

EXECUTE.

DATASET NAME DataSet1 WINDOW=FRONT.

GLM SetSize1 SetSize5 SetSize15 SetSize30 BY RMGroupSearchType

/WSFACTOR=setsize_ 4 Polynomial

/METHOD=SSTYPE(3)

/PLOT=PROFILE(setsize_*RMGroupSearchType) TYPE=LINE ERRORBAR=CI MEANREFERENCE=NO YAXIS=AUTO

/PRINT=DESCRIPTIVE

/CRITERIA=ALPHA(.05)

/WSDESIGN=setsize_

/DESIGN=RMGroupSearchType.

General Linear Model

Notes

Output Created

30-JUL-2019 15:18:48

Comments

Input

Active Dataset

DataSet1

Filter

<none>

Weight

<none>

Split File

<none>

N of Rows in Working Data File

3288

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 SetSize1 SetSize5 SetSize15 SetSize30 BY RMGroupSearchType

/WSFACTOR=setsize_ 4 Polynomial

/METHOD=SSTYPE(3)

/PLOT=PROFILE(setsize_*RMGroupSearchType) TYPE=LINE ERRORBAR=CI MEANREFERENCE=NO YAXIS=AUTO

/PRINT=DESCRIPTIVE

/CRITERIA=ALPHA(.05)

/WSDESIGN=setsize_

/DESIGN=RMGroupSearchType.

Resources

Processor Time

00:00:01.00

Elapsed Time

00:00:01.05

[DataSet1]

Within-Subjects Factors

Measure: MEASURE_1

setsize_

Dependent Variable

1

SetSize1

2

SetSize5

3

SetSize15

4

SetSize30

Between-Subjects Factors

N

RMGroupSearchType

Conjunction

15

Feature

15

Descriptive Statistics

RMGroupSearchType

Mean

Std. Deviation

N

SetSize1

Conjunction

38246.60000000000600

7426.460540622874000

15

Feature

13742.16000000000000

3551.954884848624300

15

Total

25994.38000000000500

13711.647003825520000

30

SetSize5

Conjunction

53105.860000000010000

19204.363139542755000

15

Feature

13455.113333333335000

4366.263476256929000

15

Total

33280.486666666664000

24368.979941957776000

30

SetSize15

Conjunction

62277.999999999990000

29229.322063933378000

15

Feature

14946.806666666665000

4204.533673219671000

15

Total

38612.403333333335000

31628.366344944030000

30

SetSize30

Conjunction

73374.286666666670000

37231.610916932000000

15

Feature

15514.866666666667000

6765.410372904925000

15

Total

44444.576666666650000

39459.859318786240000

30

Multivariate Testsa

Effect

Value

F

Hypothesis df

Error df

Sig.

setsize_

Pillai's Trace

.425

6.408b

3.000

26.000

.002

Wilks' Lambda

.575

6.408b

3.000

26.000

.002

Hotelling's Trace

.739

6.408b

3.000

26.000

.002

Roy's Largest Root

.739

6.408b

3.000

26.000

.002

setsize_ * RMGroupSearchType

Pillai's Trace

.409

6.010b

3.000

26.000

.003

Wilks' Lambda

.591

6.010b

3.000

26.000

.003

Hotelling's Trace

.693

6.010b

3.000

26.000

.003

Roy's Largest Root

.693

6.010b

3.000

26.000

.003

a. Design: Intercept + RMGroupSearchType

Within Subjects Design: setsize_

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

setsize_

.090

64.355

5

.000

.430

.458

.333

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

a. Design: Intercept + RMGroupSearchType

Within Subjects Design: setsize_

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.

setsize_

Sphericity Assumed

5548440801.718

3

1849480267.239

16.733

.000

Greenhouse-Geisser

5548440801.718

1.290

4301722617.803

16.733

.000

Huynh-Feldt

5548440801.718

1.374

4038743047.853

16.733

.000

Lower-bound

5548440801.718

1.000

5548440801.718

16.733

.000

setsize_ * RMGroupSearchType

Sphericity Assumed

4433277312.162

3

1477759104.054

13.370

.000

Greenhouse-Geisser

4433277312.162

1.290

3437133055.257

13.370

.000

Huynh-Feldt

4433277312.162

1.374

3227008913.595

13.370

.000

Lower-bound

4433277312.162

1.000

4433277312.162

13.370

.001

Error(setsize_)

Sphericity Assumed

9284173594.126

84

110525876.121

Greenhouse-Geisser

9284173594.126

36.115

257073119.180

Huynh-Feldt

9284173594.126

38.467

241357327.081

Lower-bound

9284173594.126

28.000

331577628.362

Tests of Within-Subjects Contrasts

Measure: MEASURE_1

Source

setsize_

Type III Sum of Squares

df

Mean Square

F

Sig.

setsize_

Linear

5523549923.025

1

5523549923.025

19.056

.000

Quadratic

15854416.033

1

15854416.033

.836

.368

Cubic

9036462.659

1

9036462.659

.397

.534

setsize_ * RMGroupSearchType

Linear

4353400630.481

1

4353400630.481

15.019

.001

Quadratic

39987492.912

1

39987492.912

2.109

.158

Cubic

39889188.769

1

39889188.769

1.753

.196

Error(setsize_)

Linear

8116107384.227

28

289860978.008

Quadratic

530937656.310

28

18962059.154

Cubic

637128553.589

28

22754591.200

Tests of Between-Subjects Effects

Measure: MEASURE_1

Transformed Variable: Average

Source

Type III Sum of Squares

df

Mean Square

F

Sig.

Intercept

151937659316.576

1

151937659316.576

144.945

.000

RMGroupSearchType

53771249958.075

1

53771249958.075

51.297

.000

Error

29350723695.884

28

1048240131.996

Profile Plots

GLM ConjSetSize1 ConjSetSize5 ConjSetSize15 ConjSetSize30

/WSFACTOR=setsize_2 4 Polynomial

/METHOD=SSTYPE(3)

/CRITERIA=ALPHA(.05)

/WSDESIGN=setsize_2.

General Linear Model

Notes

Output Created

30-JUL-2019 15:24:58

Comments

Input

Active Dataset

DataSet1

Filter

<none>

Weight

<none>

Split File

<none>

N of Rows in Working Data File

3288

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 ConjSetSize1 ConjSetSize5 ConjSetSize15 ConjSetSize30

/WSFACTOR=setsize_2 4 Polynomial

/METHOD=SSTYPE(3)

/CRITERIA=ALPHA(.05)

/WSDESIGN=setsize_2.

Resources

Processor Time

00:00:00.00

Elapsed Time

00:00:00.00

Within-Subjects Factors

Measure: MEASURE_1

setsize_2

Dependent Variable

1

ConjSetSize1

2

ConjSetSize5

3

ConjSetSize15

4

ConjSetSize30

Multivariate Testsa

Effect

Value

F

Hypothesis df

Error df

Sig.

setsize_2

Pillai's Trace

.593

5.831b

3.000

12.000

.011

Wilks' Lambda

.407

5.831b

3.000

12.000

.011

Hotelling's Trace

1.458

5.831b

3.000

12.000

.011

Roy's Largest Root

1.458

5.831b

3.000

12.000

.011

a. Design: Intercept

Within Subjects Design: setsize_2

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

setsize_2

.062

35.303

5

.000

.413

.433

.333

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: setsize_2

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.

setsize_2

Sphericity Assumed

9938718801.636

3

3312906267.212

15.515

.000

Greenhouse-Geisser

9938718801.636

1.239

8019474544.478

15.515

.001

Huynh-Feldt

9938718801.636

1.300

7644724070.787

15.515

.000

Lower-bound

9938718801.636

1.000

9938718801.636

15.515

.001

Error(setsize_2)

Sphericity Assumed

8968192720.874

42

213528398.116

Greenhouse-Geisser

8968192720.874

17.351

516883188.082

Huynh-Feldt

8968192720.874

18.201

492729209.103

Lower-bound

8968192720.874

14.000

640585194.348

Tests of Within-Subjects Contrasts

Measure: MEASURE_1

Source

setsize_2

Type III Sum of Squares

df

Mean Square

F

Sig.

setsize_2

Linear

9842170385.280

1

9842170385.280

17.214

.001

Quadratic

53099881.153

1

53099881.153

1.788

.202

Cubic

43448535.203

1

43448535.203

1.110

.310

Error(setsize_2)

Linear

8004620197.352

14

571758585.525

Quadratic

415783540.857

14

29698824.347

Cubic

547788982.665

14

39127784.476

Tests of Between-Subjects Effects

Measure: MEASURE_1

Transformed Variable: Average

Source

Type III Sum of Squares

df

Mean Square

F

Sig.

Intercept

193241831284.491

1

193241831284.491

95.479

.000

Error

28334891272.739

14

2023920805.196

GLM FeatSetSize1 FeatSetSize5 FeatSetSize15 FeatSetSize30

/WSFACTOR=feature 4 Polynomial

/METHOD=SSTYPE(3)

/CRITERIA=ALPHA(.05)

/WSDESIGN=feature.

General Linear Model

Notes

Output Created

30-JUL-2019 15:29:37

Comments

Input

Active Dataset

DataSet1

Filter

<none>

Weight

<none>

Split File

<none>

N of Rows in Working Data File

3288

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 FeatSetSize1 FeatSetSize5 FeatSetSize15 FeatSetSize30

/WSFACTOR=feature 4 Polynomial

/METHOD=SSTYPE(3)

/CRITERIA=ALPHA(.05)

/WSDESIGN=feature.

Resources

Processor Time

00:00:00.00

Elapsed Time

00:00:00.00

Within-Subjects Factors

Measure: MEASURE_1

feature

Dependent Variable

1

FeatSetSize1

2

FeatSetSize5

3

FeatSetSize15

4

FeatSetSize30

Multivariate Testsa

Effect

Value

F

Hypothesis df

Error df

Sig.

feature

Pillai's Trace

.478

3.657b

3.000

12.000

.044

Wilks' Lambda

.522

3.657b

3.000

12.000

.044

Hotelling's Trace

.914

3.657b

3.000

12.000

.044

Roy's Largest Root

.914

3.657b

3.000

12.000

.044

a. Design: Intercept

Within Subjects Design: feature

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

feature

.339

13.775

5

.017

.670

.783

.333

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: feature

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.

feature

Sphericity Assumed

42999312.243

3

14333104.081

1.905

.143

Greenhouse-Geisser

42999312.243

2.011

21382901.895

1.905

.167

Huynh-Feldt

42999312.243

2.349

18304422.273

1.905

.159

Lower-bound

42999312.243

1.000

42999312.243

1.905

.189

Error(feature)

Sphericity Assumed

315980873.252

42

7523354.125

Greenhouse-Geisser

315980873.252

28.153

11223747.645

Huynh-Feldt

315980873.252

32.888

9607873.496

Lower-bound

315980873.252

14.000

22570062.375

Tests of Within-Subjects Contrasts

Measure: MEASURE_1

Source

feature

Type III Sum of Squares

df

Mean Square

F

Sig.

feature

Linear

34780168.226

1

34780168.226

4.368

.055

Quadratic

2742027.793

1

2742027.793

.333

.573

Cubic

5477116.225

1

5477116.225

.858

.370

Error(feature)

Linear

111487186.875

14

7963370.491

Quadratic

115154115.452

14

8225293.961

Cubic

89339570.924

14

6381397.923

Tests of Between-Subjects Effects

Measure: MEASURE_1

Transformed Variable: Average

Source

Type III Sum of Squares

df

Mean Square

F

Sig.

Intercept

12467077990.161

1

12467077990.161

171.819

.000

Error

1015832423.144

14

72559458.796

T-TEST PAIRS=ConjSetSize15 ConjSetSize1 ConjSetSize1 ConjSetSize5 ConjSetSize5 ConjSetSize15 WITH

ConjSetSize5 ConjSetSize15 ConjSetSize30 ConjSetSize15 ConjSetSize30 ConjSetSize30 (PAIRED)

/CRITERIA=CI(.9500)

/MISSING=ANALYSIS.

T-Test

Notes

Output Created

30-JUL-2019 15:39:19

Comments

Input

Active Dataset

DataSet1

Filter

<none>

Weight

<none>

Split File

<none>

N of Rows in Working Data File

3288

Missing Value Handling

Definition of Missing

User defined missing values are treated as missing.

Cases Used

Statistics for each analysis are based on the cases with no missing or out-of-range data for any variable in the analysis.

Syntax

T-TEST PAIRS=ConjSetSize15 ConjSetSize1 ConjSetSize1 ConjSetSize5 ConjSetSize5 ConjSetSize15 WITH

ConjSetSize5 ConjSetSize15 ConjSetSize30 ConjSetSize15 ConjSetSize30 ConjSetSize30 (PAIRED)

/CRITERIA=CI(.9500)

/MISSING=ANALYSIS.

Resources

Processor Time

00:00:00.02

Elapsed Time

00:00:00.02

Paired Samples Statistics

Mean

N

Std. Deviation

Std. Error Mean

Pair 1

ConjSetSize15

62277.99999999999000

15

29229.322063933378000

7546.978504969798000

ConjSetSize5

53105.86000000000000

15

19204.363139542755000

4958.545240931245000

Pair 2

ConjSetSize1

38246.60000000000000

15

7426.460540622874000

1917.503866339928000

ConjSetSize15

62277.99999999999000

15

29229.322063933378000

7546.978504969798000

Pair 3

ConjSetSize1

38246.60000000000000

15

7426.460540622874000

1917.503866339928000

ConjSetSize30

73374.28666666667000

15

37231.610916932000000

9613.160602250126000

Pair 4

ConjSetSize5

53105.86000000000000

15

19204.363139542755000

4958.545240931245000

ConjSetSize15

62277.99999999999000

15

29229.322063933378000

7546.978504969798000

Pair 5

ConjSetSize5

53105.86000000000000

15

19204.363139542755000

4958.545240931245000

ConjSetSize30

73374.28666666667000

15

37231.610916932000000

9613.160602250126000

Pair 6

ConjSetSize15

62277.99999999999000

15

29229.322063933378000

7546.978504969798000

ConjSetSize30

73374.28666666667000

15

37231.610916932000000

9613.160602250126000

Paired Samples Correlations

N

Correlation

Sig.

Pair 1

ConjSetSize15 & ConjSetSize5

15

.900

.000

Pair 2

ConjSetSize1 & ConjSetSize15

15

.854

.000

Pair 3

ConjSetSize1 & ConjSetSize30

15

.783

.001

Pair 4

ConjSetSize5 & ConjSetSize15

15

.900

.000

Pair 5

ConjSetSize5 & ConjSetSize30

15

.885

.000

Pair 6

ConjSetSize15 & ConjSetSize30

15

.970

.000

Paired Samples Test

Paired Differences

t

df

Sig. (2-tailed)

Mean

Std. Deviation

Std. Error Mean

95% Confidence Interval of the Difference

Lower

Upper

Pair 1

ConjSetSize15 - ConjSetSize5

9172.139999999992000

14601.209434681383000

3770.016065000507300

1086.259730550694300

17258.020269449290000

2.433

14

.029

Pair 2

ConjSetSize1 - ConjSetSize15

-24031.399999999994000

23206.989557058634000

5992.018938006502000

-36883.002451987630000

-11179.797548012355000

-4.011

14

.001

Pair 3

ConjSetSize1 - ConjSetSize30

-35127.686666666670000

31758.107989093944000

8199.908223254504000

-52714.740666050550000

-17540.632667282790000

-4.284

14

.001

Pair 4

ConjSetSize5 - ConjSetSize15

-9172.139999999992000

14601.209434681383000

3770.016065000507300

-17258.020269449290000

-1086.259730550694300

-2.433

14

.029

Pair 5

ConjSetSize5 - ConjSetSize30

-20268.426666666666000

22117.479936643096000

5710.708763646358000

-32516.678801510840000

-8020.174531822495000

-3.549

14

.003

Pair 6

ConjSetSize15 - ConjSetSize30

-11096.286666666674000

11382.030398010638000

2938.827611834785300

-17399.445006615150000

-4793.128326718196000

-3.776

14

.002