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# Eb lat 12-spss

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latihan menggunakan SPSS 13 dan 17

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### Eb lat 12-spss

1. 1. 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 SECUKUPNYA 2. MENAMPILKAN LINE PLOT OF OBSERVED MEANS (FIG 15.6) BERI PENJELASAN 3. MENAMPILAN TABEL TWO-WAY-ANOVA (FIG 15.7) BERI PENJELASAN MENGENAI MAIN DAN INTERACTION EFFECT 4. ANOVA MODEL WITHOUT THE INTERACTION TERM (FIG 15.8) BERI PENJELASAN 5. MENAMPILKAN HASIL BONFERRONI MULTIPLE COMPARISON (FIG 15.9) BERI PENJELASAN 6. CATAT WAKTU DAN URUTAN TASK YANG TELAH DISELESAIKAN
2. 2. 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's Sex Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total RS Highest DegreeLess than HS High school Junior college Bachelor Graduate Total Number of Hours Worked Last Week Mean Std. Deviation N Descriptive Statistics Fig 15.1 Hours worked by degree and gender (dependent variable: hrs1)
3. 3. RS Highest Degree Graduate Bachelor Junior college High school Less than HS MeanNumberofHoursWorkedLastWeek 54 52 50 48 46 44 42 40 Respondent's Sex Male Female Fig 15.2 Average number of hours worked by degree and gender
4. 4. Estimated Marginal Means of Number of Hours Worked Last Week RS Highest Degree GraduateBachelorJunior collegeHigh schoolLess than HS EstimatedMarginalMeans 54 52 50 48 46 44 42 40 Respondent's Sex Male Female Fig 15.6 Line plot of observed means
5. 5. Dependent Variable: Number of Hours Worked Last Week 5539.321 b 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 Source Corrected Model Intercept DEGREE SEX DEGREE * SEX Error Total Corrected Total Type III Sum of Squares df Mean Square F Sig. Noncent. Parameter Observed Powera Tests of Between-SubjectsEffects Computed using alpha = .05a. R Squared = .059 (Adjusted R Squared = .047)b. Fig 15.7 Two-way analysis of variance table
6. 6. Dependent Variable: Number of Hours Worked Last Week 5151.984 b 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 Source Correcte d Model Intercept DEGREE SEX Error Total Correcte d Total Type III Sum of Squares df Mean Square F Sig. Noncent. Paramet er Observe d 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
7. 7. 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) RS Highest Degree High school Junior college Bachelor Graduate Less than HS Junior college Bachelor Graduate Less than HS High school Bachelor Graduate Less than HS High school Junior college Graduate Less than HS High school Junior college Bachelor (I) RS Highest Degree Less than HS High school Junior college Bachelor Graduate Mean Difference (I-J) Std. Error Sig. Lower Bound Upper Bound 95% Confidence Interval 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
8. 8. Pilih General Linear Model, GLM-General Factorial
9. 9. Pilih Variable, hrs1 dan degree
10. 10. Pilih Options, serta Discriptive
11. 11. Pilih Model
12. 12. Pilih Explore, Plots
13. 13. Pilih Clustered Bar
14. 14. Pilih Profile Plots, Click Add
15. 15. Pilih Profile Plots, Click Add amati hasilnya