Tugas quiz SPSS
0 likes113 views
The document contains the results of a study examining the influence of learning motivation and interest in learning on academic achievement. It includes regression tables showing that: 1) Learning motivation and interest in learning together have a significant influence on academic achievement. 2) Learning motivation alone does not have a significant influence on academic achievement. 3) Interest in learning alone has a significant influence on academic achievement.
More Related Content
Similar to Tugas quiz SPSS (20)
Recently uploaded (20)
Tugas quiz SPSS
- 1. QUIZ FOR UTS (MID TERM TEST) COMPUTER APPLICATION LECTURER :TatanZaenalMutakin, M.Pd. YUNUS : 20187479096 PROGRAM MAGISTER PENDIDIKAN BAHASA INGGRIS UNIVERSITAS INDRAPRASTA PGRI 2020
- 2. 1. Out put datda dalam bentuk Microsoft Word Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 ,419a ,176 ,147 10,200 a. Predictors: (Constant), Minat Belajar, Motivasi Belajar ANOVAa Model Sum of Squares df Mean Square F Sig. 1 Regression 1266,124 2 633,062 6,084 ,004b Residual 5930,726 57 104,048 Total 7196,850 59 a. Dependent Variable: Prestasi Belajar b. Predictors: (Constant), Minat Belajar, Motivasi Belajar Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig.B Std. Error Beta 1 (Constant) 10,359 24,836 ,417 ,678 Motivasi Belajar ,043 ,205 ,027 ,212 ,833 Minat Belajar ,690 ,211 ,411 3,274 ,002 a. Dependent Variable: Prestasi Belajar 2. Interpretasi Tabel Penelitian Tiga tabel diatas merupakan tabel hasil uji hipotesis regresi linear berganda, yang terdiri dari tabel model summary, tabel anova, dan tabel coefficients. 1. Hasil Penelitian (Menjawab rumusan masalah) a. Terdapat pengaruh yang signifikan antara Motivasi Belajar dan Minat belajar secara bersama-sama terhadap Prestasi Belajar. Hal ini dibuktikan dengan nilai Sig.= 0,004 < 0,01 dan Fhitung= 6,084 b. Tidak terdapat pengaruh yang signifikan antara Motivasi Belajar terhadap Prestasi Belajar. Hal ini dibuktikan dengan nilai Sig.= 0,833 > 0,01 dan thitung= 0,212
- 3. c. Terdapat pengaruh yang signifikan antara Minat belajar terhadap Prestasi Belajar. Hal ini dibuktikan dengan nilai Sig.= 0,002 < 0,01 dan thitung= 3,274 2. Hubungan antara Motivasi Belajar dan Minat belajar secara bersama-sama terhadap Prestasi Belajar adalah sedang. Hal ini dibuktikan dengan nilai korelasi (R) = 0,419 Kriteria: 0,000 0,199 = Sangat Lemah 0,200 0,399 = Lemah 0,400 0,599 = Sedang 0,600 0,799 = Kuat 0,800 1,000 = Sangat Kuat 3. Kontribusi Motivasi Belajar dan Minat belajar secara bersama-sama terhadap Prestasi Belajar sebesar 0,176 x 100 % = 17.6%(nilai Rsquare x 100%) 4. Persamaan garis regresi ganda: Y = 10,359 + 0,043 X1 + 0,690 X2 Adapun untuk kontribusi parsial, maka akan dilakukan pengujian tambahan sbb: Copy table coefiicients Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. Correlations B Std. Error Beta Zero- order Partial Part 1 (Constant) 10,359 24,836 ,417 ,678 Motivasi Belajar ,043 ,205 ,027 ,212 ,833 ,145 ,028 ,026 Minat Belajar ,690 ,211 ,411 3,274 ,002 ,419 ,398 ,394 a. Dependent Variable: Prestasi Belajar Penjelasan: 1. Kontribusi parsial X1 terhadap Y adalah nilai Beta x nilai Zero-order (nilai korelasinya) x 100%, yaitu: 0,027 x 0,145 x 100% = 0.39% 2. Kontribusi parsial X2 terhadap Y adalah nilai Beta x nilai Zero-order (nilai kolerasinya) x 100%, yaitu: 0,411 x 0,419 x 100%= 17,22%
- 4. 3. Kontribusi ganda adalah penjumlahan dari kontribusi parsial X1 dan X2, yaitu: 0.39 + 17,22 = 17,61 % (nilai Rsquare x 100%) LAMPIRAN: OUTPUT PENGOLAHAN DATA SYNTAX UJI HIPOTESIS Error # 1. Command name: UJI The first word in the line is not recognized as an SPSS Statistics command. Execution of this command stops. REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN (.05) POUT (.10) /NOORIGIN /DEPENDENT Y /METHOD=ENTER X1 X2. Regression Notes Output Created 01-JUN-2020 20:50:24 Comments Input Data D:UNINDRA PGRI JAKARTA 2019SMT 3SMT 3COMPUTER APPLICATIONtugas utsFILE EXCEL TUGAS UTS_YUNUS.sav Active Dataset DataSet0 Filter <none> Weight <none> Split File <none> N of Rows in Working Data File 60 Missing Value Handling Definition of Missing User-defined missing values are treated as missing. Cases Used Statistics are based on cases with no missing values for any variable used.
- 5. Syntax REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN (.05) POUT (.10) /NOORIGIN /DEPENDENT Y /METHOD=ENTER X1 X2. Resources Processor Time 00:00:00,05 Elapsed Time 00:00:00,05 Memory Required 1652 bytes Additional Memory Required for Residual Plots 0 bytes Variables Entered/Removeda Model Variables Entered Variables Removed Method 1 Minat Belajar, Motivasi Belajarb . Enter a. Dependent Variable: Prestasi Belajar b. All requested variables entered. Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 ,419a ,176 ,147 10,200 a. Predictors: (Constant), Minat Belajar, Motivasi Belajar ANOVAa Model Sum of Squares df Mean Square F Sig. 1 Regression 1266,124 2 633,062 6,084 ,004b Residual 5930,726 57 104,048 Total 7196,850 59 a. Dependent Variable: Prestasi Belajar b. Predictors: (Constant), Minat Belajar, Motivasi Belajar
- 6. Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig.B Std. Error Beta 1 (Constant) 10,359 24,836 ,417 ,678 Motivasi Belajar ,043 ,205 ,027 ,212 ,833 Minat Belajar ,690 ,211 ,411 3,274 ,002 a. Dependent Variable: Prestasi Belajar DESKRIPSI DATA Error # 1. Command name: DESKRIPSI The first word in the line is not recognized as an SPSS Statistics command. Execution of this command stops. FREQUENCIES VARIABLES=Y /STATISTICS=STDDEV MINIMUM MAXIMUM MEAN MEDIAN MODE /HISTOGRAM NONORMAL /ORDER=ANALYSIS. Frequencies Notes Output Created 01-JUN-2020 20:50:24 Comments Input Data D:UNINDRA PGRI JAKARTA 2019SMT 3SMT 3COMPUTER APPLICATIONtugas utsFILE EXCEL TUGAS UTS_YUNUS.sav Active Dataset DataSet0 Filter <none> Weight <none> Split File <none> N of Rows in Working Data File 60 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.
- 7. Syntax FREQUENCIES VARIABLES=Y /STATISTICS=STDDEV MINIMUM MAXIMUM MEAN MEDIAN MODE /HISTOGRAM NONORMAL /ORDER=ANALYSIS. Resources Processor Time 00:00:00,70 Elapsed Time 00:00:00,59 Statistics Prestasi Belajar N Valid 60 Missing 0 Mean 85,05 Median 90,00 Mode 90 Std. Deviation 11,044 Minimum 60 Maximum 99 Prestasi Belajar Frequency Percent Valid Percent Cumulative Percent Valid 60 3 5,0 5,0 5,0 69 1 1,7 1,7 6,7 70 8 13,3 13,3 20,0 75 1 1,7 1,7 21,7 79 10 16,7 16,7 38,3 90 26 43,3 43,3 81,7 99 11 18,3 18,3 100,0 Total 60 100,0 100,0
- 8. FREQUENCIES VARIABLES=X1 /STATISTICS=STDDEV MINIMUM MAXIMUM MEAN MEDIAN MODE /HISTOGRAM NONORMAL /ORDER=ANALYSIS. Frequencies Notes Output Created 01-JUN-2020 20:50:25 Comments
- 9. Input Data D:UNINDRA PGRI JAKARTA 2019SMT 3SMT 3COMPUTER APPLICATIONtugas utsFILE EXCEL TUGAS UTS_YUNUS.sav Active Dataset DataSet0 Filter <none> Weight <none> Split File <none> N of Rows in Working Data File 60 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. Syntax FREQUENCIES VARIABLES=X1 /STATISTICS=STDDEV MINIMUM MAXIMUM MEAN MEDIAN MODE /HISTOGRAM NONORMAL /ORDER=ANALYSIS. Resources Processor Time 00:00:00,62 Elapsed Time 00:00:00,64 Statistics Motivasi Belajar N Valid 60 Missing 0 Mean 97,70 Median 97,00 Mode 99 Std. Deviation 6,778 Minimum 77 Maximum 111 Motivasi Belajar Frequency Percent Valid Percent Cumulative Percent Valid 77 2 3,3 3,3 3,3 90 5 8,3 8,3 11,7 91 5 8,3 8,3 20,0 94 1 1,7 1,7 21,7 95 5 8,3 8,3 30,0
- 10. 96 10 16,7 16,7 46,7 97 4 6,7 6,7 53,3 99 11 18,3 18,3 71,7 100 1 1,7 1,7 73,3 104 8 13,3 13,3 86,7 106 3 5,0 5,0 91,7 107 2 3,3 3,3 95,0 111 3 5,0 5,0 100,0 Total 60 100,0 100,0 FREQUENCIES VARIABLES=X2 /STATISTICS=STDDEV MINIMUM MAXIMUM MEAN MEDIAN MODE /HISTOGRAM NONORMAL /ORDER=ANALYSIS.
- 11. Frequencies Notes Output Created 01-JUN-2020 20:50:25 Comments Input Data D:UNINDRA PGRI JAKARTA 2019SMT 3SMT 3COMPUTER APPLICATIONtugas utsFILE EXCEL TUGAS UTS_YUNUS.sav Active Dataset DataSet0 Filter <none> Weight <none> Split File <none> N of Rows in Working Data File 60 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. Syntax FREQUENCIES VARIABLES=X2 /STATISTICS=STDDEV MINIMUM MAXIMUM MEAN MEDIAN MODE /HISTOGRAM NONORMAL /ORDER=ANALYSIS. Resources Processor Time 00:00:00,69 Elapsed Time 00:00:00,50 Statistics Minat Belajar N Valid 60 Missing 0 Mean 102,10 Median 97,00 Mode 97 Std. Deviation 6,579 Minimum 96 Maximum 116
- 12. Minat Belajar Frequency Percent Valid Percent Cumulative Percent Valid 96 14 23,3 23,3 23,3 97 18 30,0 30,0 53,3 106 14 23,3 23,3 76,7 107 8 13,3 13,3 90,0 116 6 10,0 10,0 100,0 Total 60 100,0 100,0 UJI NORMALITAS DATA Error # 1. Command name: UJI The first word in the line is not recognized as an SPSS Statistics command. Execution of this command stops.
- 13. NPAR TESTS /K-S (NORMAL)= X1 X2 Y /MISSING ANALYSIS. NPar Tests Notes Output Created 01-JUN-2020 20:50:26 Comments Input Data D:UNINDRA PGRI JAKARTA 2019SMT 3SMT 3COMPUTER APPLICATIONtugas utsFILE EXCEL TUGAS UTS_YUNUS.sav Active Dataset DataSet0 Filter <none> Weight <none> Split File <none> N of Rows in Working Data File 60 Missing Value Handling Definition of Missing User-defined missing values are treated as missing. Cases Used Statistics for each test are based on all cases with valid data for the variable(s) used in that test. Syntax NPAR TESTS /K-S (NORMAL)= X1 X2 Y /MISSING ANALYSIS. Resources Processor Time 00:00:00,02 Elapsed Time 00:00:00,01 Number of Cases Alloweda 262144 a. Based on availability of workspace memory. One-Sample Kolmogorov-Smirnov Test Motivasi Belajar Minat Belajar Prestasi Belajar N 60 60 60 Normal Parametersa,b Mean 97,70 102,10 85,05 Std. Deviation 6,778 6,579 11,044 Most Extreme Differences Absolute ,141 ,314 ,290
- 14. Positive ,141 ,314 ,144 Negative -,129 -,190 -,290 Test Statistic ,141 ,314 ,290 Asymp. Sig. (2-tailed) ,005c ,000c ,000c a. Test distribution is Normal. b. Calculated from data. c. Lilliefors Significance Correction. UJI LINEARITAS Error # 1. Command name: UJI The first word in the line is not recognized as an SPSS Statistics command. Execution of this command stops. MEANS TABLES=Y BY X1 X2 /CELLS MEAN COUNT STDDEV /STATISTICS LINEARITY. Means Notes Output Created 01-JUN-2020 20:50:26 Comments Input Data D:UNINDRA PGRI JAKARTA 2019SMT 3SMT 3COMPUTER APPLICATIONtugas utsFILE EXCEL TUGAS UTS_YUNUS.sav Active Dataset DataSet0 Filter <none> Weight <none> Split File <none> N of Rows in Working Data File 60 Missing Value Handling Definition of Missing For each dependent variable in a table, user-defined missing values for the dependent and all grouping variables are treated as missing.
- 15. Cases Used Cases used for each table have no missing values in any independent variable, and not all dependent variables have missing values. Syntax MEANS TABLES=Y BY X1 X2 /CELLS MEAN COUNT STDDEV /STATISTICS LINEARITY. Resources Processor Time 00:00:00,05 Elapsed Time 00:00:00,06 Case Processing Summary Cases Included Excluded Total N Percent N Percent N Percent Prestasi Belajar * Motivasi Belajar 60 100,0% 0 0,0% 60 100,0% Prestasi Belajar * Minat Belajar 60 100,0% 0 0,0% 60 100,0% Prestasi Belajar * Motivasi Belajar Report Prestasi Belajar Motivasi Belajar Mean N Std. Deviation 77 90,00 2 ,000 90 82,60 5 11,760 91 87,80 5 10,686 94 90,00 1 . 95 83,80 5 9,066 96 78,70 10 11,086 97 84,50 4 6,351 99 82,36 11 15,240 100 79,00 1 . 104 88,38 8 9,724 106 96,00 3 5,196 107 94,50 2 6,364 111 89,33 3 10,017
- 16. Total 85,05 60 11,044 ANOVA Table Sum of Squares df Mea Prestasi Belajar * Motivasi Belajar Between Groups (Combined) 1351,363 12 Linearity 151,063 1 Deviation from Linearity 1200,300 11 Within Groups 5845,487 47 Total 7196,850 59 Measures of Association R R Squared Eta Eta Squared Prestasi Belajar * Motivasi Belajar ,145 ,021 ,433 ,188 Prestasi Belajar * Minat Belajar Report Prestasi Belajar Minat Belajar Mean N Std. Deviation 96 80,79 14 13,979 97 81,39 18 9,793 106 87,29 14 9,051 107 89,75 8 8,956 116 94,50 6 4,930 Total 85,05 60 11,044 ANOVA Table Sum of Squares df Mea Prestasi Belajar * Minat Belajar Between Groups (Combined) 1278,358 4 Linearity 1261,435 1
- 17. Deviation from Linearity 16,923 3 Within Groups 5918,492 55 Total 7196,850 59 Measures of Association R R Squared Eta Eta Squared Prestasi Belajar * Minat Belajar ,419 ,175 ,421 ,178 UJI MULTIKOLENIARITAS DAN HETEROSKEDASTSITAS Error # 1. Command name: UJI The first word in the line is not recognized as an SPSS Statistics command. Execution of this command stops. REGRESSION /DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA COLLIN TOL CHANGE ZPP /CRITERIA=PIN (.05) POUT (.10) /NOORIGIN /DEPENDENT Y /METHOD=ENTER X1 X2 /SCATTERPLOT= ( *ZRESID, *ZPRED)) /RESIDUALS HISTOGRAM (ZRESID) NORMPROB (ZRESID) /SAVE RESID. Regression Notes Output Created 01-JUN-2020 20:50:26 Comments Input Data D:UNINDRA PGRI JAKARTA 2019SMT 3SMT 3COMPUTER APPLICATIONtugas utsFILE EXCEL TUGAS UTS_YUNUS.sav Active Dataset DataSet0 Filter <none> Weight <none> Split File <none>
- 18. N of Rows in Working Data File 60 Missing Value Handling Definition of Missing User-defined missing values are treated as missing. Cases Used Statistics are based on cases with no missing values for any variable used. Syntax REGRESSION /DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA COLLIN TOL CHANGE ZPP /CRITERIA=PIN (.05) POUT (.10) /NOORIGIN /DEPENDENT Y /METHOD=ENTER X1 X2 /SCATTERPLOT= ( *ZRESID, *ZPRED)) /RESIDUALS HISTOGRAM (ZRESID) NORMPROB (ZRESID) /SAVE RESID. Resources Processor Time 00:00:00,00 Elapsed Time 00:00:00,01 Warnings Missing left parenthesis on REGRESSION SCATTERPLOT command--A left parenthesis '(' is expected in the SCATTERPLOT subcommand but is not found. You must specify the variables to be plotted in parentheses. For example, '/SCAT (*RESID,INCOME)' produces a scatterplot of the residual with the variable INCOME Text found: ). Execution of this command stops. *WARNING* REGRESSION syntax scan continues. Further diagnostics from this command may be misleading - interpret with care. UJI NORMALITAS GALAT Error # 1. Command name: UJI The first word in the line is not recognized as an SPSS Statistics command. Execution of this command stops. NPAR TESTS /K-S (NORMAL) =RES 1 /MISSING ANALYSIS.
- 19. NPar Tests Notes Output Created 01-JUN-2020 20:50:26 Comments Input Data D:UNINDRA PGRI JAKARTA 2019SMT 3SMT 3COMPUTER APPLICATIONtugas utsFILE EXCEL TUGAS UTS_YUNUS.sav Active Dataset DataSet0 Filter <none> Weight <none> Split File <none> Missing Value Handling Definition of Missing User-defined missing values are treated as missing. Cases Used Statistics for each test are based on all cases with valid data for the variable(s) used in that test. Syntax NPAR TESTS /K-S (NORMAL) =RES 1 /MISSING ANALYSIS. Resources Processor Time 00:00:00,00 Elapsed Time 00:00:00,01 Warnings Text: RES Command: NPAR TESTS An undefined variable name, or a scratch or system variable was specified in a variable list which accepts only standard variables. Check spelling and verify the existence of this variable. Execution of this command stops. REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA ZPP /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Y /METHOD=ENTER X1 X2.
- 20. Regression Notes Output Created 01-JUN-2020 21:34:30 Comments Input Data D:UNINDRA PGRI JAKARTA 2019SMT 3SMT 3COMPUTER APPLICATIONtugas utsFILE EXCEL TUGAS UTS_YUNUS.sav Active Dataset DataSet0 Filter <none> Weight <none> Split File <none> N of Rows in Working Data File 60 Missing Value Handling Definition of Missing User-defined missing values are treated as missing. Cases Used Statistics are based on cases with no missing values for any variable used. Syntax REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA ZPP /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Y /METHOD=ENTER X1 X2. Resources Processor Time 00:00:00,03 Elapsed Time 00:00:00,03 Memory Required 1652 bytes Additional Memory Required for Residual Plots 0 bytes Variables Entered/Removeda Model Variables Entered Variables Removed Method 1 Minat Belajar, Motivasi Belajarb . Enter
- 21. a. Dependent Variable: Prestasi Belajar b. All requested variables entered. Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 ,419a ,176 ,147 10,200 a. Predictors: (Constant), Minat Belajar, Motivasi Belajar ANOVAa Model Sum of Squares df Mean Square F Sig. 1 Regression 1266,124 2 633,062 6,084 ,004b Residual 5930,726 57 104,048 Total 7196,850 59 a. Dependent Variable: Prestasi Belajar b. Predictors: (Constant), Minat Belajar, Motivasi Belajar Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. Correlations B Std. Error Beta Zero-order Partial Part 1 (Constant) 10,359 24,836 ,417 ,678 Motivasi Belajar ,043 ,205 ,027 ,212 ,833 ,145 ,028 ,026 Minat Belajar ,690 ,211 ,411 3,274 ,002 ,419 ,398 ,394 a. Dependent Variable: Prestasi Belajar