Eb lat 12-spss

SPSS LATIHAN KE 12

TWO-WAY ANALYSIS OF VARIANCE

BUKA FILE GSSFT.SAV, GUNAKAN UNTUK 1. MENAMPILKAN HOURS WORKED BY DEGREE AND SEX (FIG 15.1 DAN FIG 15.3) BERI PENJELASAN SECUKUPNYA2. MENAMPILKAN LINE PLOT OF OBSERVED MEANS (FIG 15.6) BERI PENJELASAN3. MENAMPILAN TABEL TWO-WAY-ANOVA (FIG 15.7) BERI PENJELASAN MENGENAI MAIN DAN INTERACTION EFFECT4. ANOVA MODEL WITHOUT THE INTERACTION TERM (FIG 15.8) BERI PENJELASAN 5. MENAMPILKAN HASIL BONFERRONI MULTIPLE COMPARISON (FIG 15.9) BERI PENJELASAN6. CATAT WAKTU DAN URUTAN TASK YANG TELAH DISELESAIKAN

44.36 7.59 36

42.19 11.00 16

43.69 8.72 52

47.69 10.90 201

43.70 9.83 186

45.77 10.58 387

48.00 11.07 30

43.21 12.06 24

45.87 11.66 54

48.05 12.15 84

44.59 13.50 78

46.38 12.89 162

53.30 12.05 54

45.16 8.22 32

50.27 11.44 86

48.24 11.26 405

43.94 10.83 336

46.29 11.27 741

Respondent'sSexMale

Female

Total

Male

Female

Total

Male

Female

Total

Male

Female

Total

Male

Female

Total

Male

Female

Total

RSHighestDegreeLessthan HS

Highschool

Juniorcollege

Bachelor

Graduate

Total

NumberofHoursWorkedLastWeek

MeanStd.

Deviation N

Descriptive Statistics

Fig 15.1 Hours worked by degree and gender (dependent variable: hrs1)

RS Highest Degree

Graduate

Bachelor

Junior college

High school

Less than HS

Mea

n Nu

mbe

r of H

ours

Wor

ked

Last

Wee

k54

52

50

48

46

44

42

40

Respondent's Sex

Male

Female

Fig 15.2 Average number of hours worked by degree and gender

Estimated Marginal Means of Number of Hours Worked Last Week

RS Highest Degree

GraduateBachelorJunior collegeHigh schoolLess than HS

Estim

ated

Marg

inal M

eans

54

52

50

48

46

44

42

40

Respondent's Sex

Male

Female

Fig 15.6 Line plot of observed means

Dependent Variable: Number of Hours Worked Last Week

5539.321b

9 615.480 5.088 .000 45.788 1.000

846856.8 1 846856.8 7000.092 .000 7000.092 1.000

1222.827 4 305.707 2.527 .040 10.108 .718

2034.058 1 2034.058 16.813 .000 16.813 .984

387.337 4 96.834 .800 .525 3.202 .258

88434.876 731 120.978

1681680 741

93974.197 740

SourceCorrectedModel

Intercept

DEGREE

SEX

DEGREE* SEX

Error

Total

CorrectedTotal

Type IIISum ofSquares df

MeanSquare F Sig.

Noncent.Parameter

ObservedPowera

Tests of Between-Subjects Effects

Computed using alpha = .05a.

R Squared = .059 (Adjusted R Squared = .047)b.

Fig 15.7 Two-way analysis of variance table

Dependent Variable: Number of Hours Worked Last Week

5151.984b

5 1030.397 8.526 .000 42.632 1.000

897122.0 1 897122.0 7423.646 .000 7423.646 1.000

1753.242 4 438.311 3.627 .006 14.508 .877

3326.066 1 3326.066 27.523 .000 27.523 .999

88822.21 735 120.847

1681680 741

93974.20 740

SourceCorrected Model

Intercept

DEGREE

SEX

Error

Total

Corrected Total

Type IIISum of

Squares dfMean

Square F Sig.

Noncent.Paramet

erObserved Powera

Tests of Between-Subjects Effects

Computed using alpha = .05a.

R Squared = .055 (Adjusted R Squared = .048)b.

Fig 15.8 Anova model without the interaction term

Dependent Variable: Number of Hours Worked Last Week

Bonferroni

-2.08 1.625 1.000 -6.65 2.49

-2.18 2.137 1.000 -8.20 3.84

-2.69 1.753 1.000 -7.63 2.25

-6.58* 1.932 .007 -12.02 -1.13

2.08 1.625 1.000 -2.49 6.65

-9.78E-02 1.598 1.000 -4.60 4.40

-.61 1.029 1.000 -3.51 2.29

-4.49* 1.311 .006 -8.19 -.80

2.18 2.137 1.000 -3.84 8.20

9.78E-02 1.598 1.000 -4.40 4.60

-.51 1.728 1.000 -5.38 4.35

-4.40 1.910 .216 -9.77 .98

2.69 1.753 1.000 -2.25 7.63

.61 1.029 1.000 -2.29 3.51

.51 1.728 1.000 -4.35 5.38

-3.88 1.467 .083 -8.02 .25

6.58* 1.932 .007 1.13 12.02

4.49* 1.311 .006 .80 8.19

4.40 1.910 .216 -.98 9.77

3.88 1.467 .083 -.25 8.02

(J) RSHighestDegreeHigh school

Juniorcollege

Bachelor

Graduate

Less than HS

Juniorcollege

Bachelor

Graduate

Less than HS

High school

Bachelor

Graduate

Less than HS

High school

Juniorcollege

Graduate

Less than HS

High school

Juniorcollege

Bachelor

(I) RSHighestDegreeLess thanHS

Highschool

Juniorcollege

Bachelor

Graduate

MeanDifference

(I-J) Std. Error Sig.LowerBound

UpperBound

95% ConfidenceInterval

Multiple Comparisons

Based on observed means. The error term is Error.

The mean difference is significant at the .05 level.*.

Fig 15.9 Bonferroni multiple comparison

Pilih General Linear Model, GLM-General Factorial

Pilih Variable, hrs1 dan degree

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