LAMPIRAN HASIL ANALISIS STATISTIK
LAMPIRAN HASIL ANALISIS STATISTIK
1. Deskriptif
Descriptive Statistics
Mean Std. Deviation Umur
Minimum
Maximum
55 4.5 16.0 9.791 3.4016 Umur_ayah
55 28 54 43.69 5.956 Umur_ibu
55 25 48 38.93 5.966 Berat_badan
55 13.0 42.0 24.396 7.9715 Tinggi_badan
125.418 16.4038 HAZ
1.89 -1.8607- 1.49780 MAMC
55 -5.00-
55 10.00 20.00 14.6989 2.52397 HB_RSDK
55 4.30 12.50 7.8218 1.90824 Feritin_Gaki
4000.00 1.9029E3 1199.74074 Anak_Nilai_fisik
64.0391 18.67277 Anak_Nilai_emosi
62.0000 18.19646 Anak_Nilai_sosial
75.0909 18.09961 Anak_Nilai_sekolah
61.0000 17.46425 Anak_Nilai_diri_peds
66.7182 16.64775 Mean_Peds_QL
55 37.07 92.33 65.7696 13.63666 Valid N (listwise)
Percent Valid
Frequency
Percent
Valid Percent
laki-laki 25 45.5 45.5 45.5 perempuan
Cumulative Frequency
Percent Valid
Percent
Valid Percent
100,0 Total
Pendidikan_ayah
Cumulative
Percent Valid
Frequency
Percent
Valid Percent
SD 10 18.2 18.2 18.2 SMP
Pendidikan_ibu
Cumulative
Percent Valid
Frequency
Percent
Valid Percent
SD 14 25.5 25.5 25.5 SMP
Kateg_BLT
Cumulative
Valid Percent Percent Valid
Frequency
Percent
tidak miskin 30 54.5 54.5 54.5 mendekati miskin
14 25.5 25.5 80.0 miskin
9 16.4 16.4 96.4 sangat miskin
Kateg_HAZ
Cumulative
Percent Valid
Frequency
Percent
Valid Percent
pendek 27 49.1 49.1 49.1 normal
Kateg_StatusGizi2
Cumulative
Percent Valid
Frequency
Percent
Valid Percent
baik 23 41.8 41.8 41.8 kurang
32 58.2 58.2 100.0 Total
Kateg_JenisKelasi
Valid Percent
Percent
Valid oral
Kategori total QL
Valid Percent
Percent
Valid QL kurang
QL baik
1.Uji normalitas data Hb, Kadar Ferritin dan rerata Peds.QL
Tests of Normality
Kolmogorov-Smirnov a Shapiro-Wilk
df Sig. HB_RSDK
Statistic
df Sig.
Statistic
55 .472 Feritin_Gaki
55 .471 a. Lilliefors Significance Correction
Mean_Peds_QL * .084 55 .200
*. This is a lower bound of the true significance.
2.Uji normalitas ukuran limpa dengan rerata kualitas hidup
Tests of Normality
Shapiro-Wilk Schuffner
Kolmogorov-Smirnov(a)
df Sig. Mean_Peds_QL
Statistic
df Sig.
* This is a lower bound of the true significance. a Lilliefors Significance Correction
3. Uji hubungan kadar Hb, kadar ferritin, ukuran limpa dengan rerata Peds. QL
Correlations
Mean_Peds_QL HB_RSDK
Mean_Peds_QL Pearson Correlation
Sig. (2-tailed)
HB_RSDK Pearson Correlation
Sig. (2-tailed)
*. Correlation is significant at the 0.05 level (2-tailed).
Correlations
UKLIMPA Feritin_Gaki Mean_Peds_QL
.216 -.324 * rho
Spearman's UKLIMPA
Correlation Coefficient
Sig. (2-tailed)
55 55 55 Feritin_Gaki Correlation Coefficient
1.000 -.200-
Sig. (2-tailed)
55 55 55 Mean_Peds Correlation Coefficient
-.200- 1.000 _QL
Sig. (2-tailed)
*. Correlation is significant at the 0.05 level (2-tailed).
4. Uji hubungan pendidikan ayah dan pendidikan ibu dengan mean kualitas hidup Correlations
Pendidikan
Pendidikan
_ibu Spearman's rho
Mean_Peds_QL
_ayah
Mean_Peds_QL
Correlation Coefficient
Sig. (2-tailed)
55 55 55 Pendidikan_ayah
Correlation Coefficient
Sig. (2-tailed)
55 55 55 Pendidikan_ibu
Correlation Coefficient
Sig. (2-tailed)
55 55 55 * Correlation is significant at the 0.05 level (2-tailed).
** Correlation is significant at the 0.01 level (2-tailed).
5. Uji hubungan status Gizi dan status ekonomi dengan mean kualitas hidup
Correlations
Mean_Peds_Q
Kateg_StatusG
izi Spearman's rho
Kateg_BLT
Mean_Peds_QL
Correlation Coefficient
-,304(*) -,065
Sig. (2-tailed)
55 55 55 Kateg_BLT
Correlation Coefficient
Sig. (2-tailed)
55 55 55 Kateg_StatusGizi
Correlation Coefficient
Sig. (2-tailed)
55 55 55 * Correlation is significant at the 0.05 level (2-tailed).
6. Uji hubungan jenis kelasi besi dengan mean kualitas hidup
Crosstab
Kategori total QL QL kurang QL baik
Total Kateg_JenisKelasi
Expected Count
10.8 22.2 33.0
% within Kateg_JenisKelasi
42.4%
57.6% 100.0%
% within Kategori total QL
% of Total
Expected Count
7.2 14.8 22.0
% within Kateg_JenisKelasi
18.2%
81.8% 100.0%
% within Kategori total QL
% of Total
Expected Count
18.0 37.0 55.0
% within Kateg_JenisKelasi
32.7%
67.3% 100.0%
% within Kategori total QL
100.0%
100.0% 100.0%
% of Total
32.7%
67.3% 100.0%
7. Regresi berganda
Descriptive Statistics
Mean
Std. Deviation
Mean_Peds_QL
Kateg_JenisKelasi
HB_RSDK
Feritin_Gaki
1.9029E3
Chi-Square Tests
Asymp. Sig. (2- Exact Sig. (2- Exact Sig. (1-
sided) sided) Pearson Chi-Square
Value
df sided)
3.524 a 1 .061
Continuity Correction b 2.508
Likelihood Ratio
Fisher's Exact Test
.055 Linear-by-Linear Association
1 .063 N of Valid Cases b 55
a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 7.20. b. Computed only for a 2x2 table
Variables Entered/Removed b
Model Variables Entered
Method 1 Feritin_Gaki,
Variables Removed
Kateg_JenisKelasi, DDKAY, UKLIMPA,
. Enter HB_RSDK, SOSEK, a DDKIB
2 Backward (criterion:
. SOSEK
Probability of F-to-remove >= .100).
3 Backward (criterion:
. DDKIB
Probability of F-to-remove >= .100).
4 Backward (criterion:
. Feritin_Gaki
Probability of F-to-remove >= .100).
5 Backward (criterion:
. DDKAY
Probability of F-to-remove >= .100).
6 Backward (criterion:
. HB_RSDK
Probability of F-to-remove >= .100).
7 Backward (criterion: . Kateg_JenisKelasi Probability of F-to-remove >= .100).
a. All requested variables entered. b. Dependent Variable: Mean_Peds_QL
Model Summary
Adjusted R Std. Error of the Model
R R Square
.123 12.76732 a. Predictors: (Constant), Feritin_Gaki, Kateg_JenisKelasi, DDKAY,
7 g .374 .140
UKLIMPA, HB_RSDK, SOSEK, DDKIB b. Predictors: (Constant), Feritin_Gaki, Kateg_JenisKelasi, DDKAY,
UKLIMPA, HB_RSDK, DDKIB c. Predictors: (Constant), Feritin_Gaki, Kateg_JenisKelasi, DDKAY,
UKLIMPA, HB_RSDK d. Predictors: (Constant), Kateg_JenisKelasi, DDKAY, UKLIMPA,
HB_RSDK e. Predictors: (Constant), Kateg_JenisKelasi, UKLIMPA, HB_RSDK f. Predictors: (Constant), Kateg_JenisKelasi, UKLIMPA g. Predictors: (Constant), UKLIMPA
ANOVA h
Model
F Sig. 1 Regression
Sum of Squares
df Mean Square
2.164 .055 a Residual
2.579 .030 b Residual
3.153 .015 c Residual
3.920 .008 d Residual
4.790 .005 e Residual
5.728 .006 f Residual
8.604 .005 g Residual
a. Predictors: (Constant), Feritin_Gaki, Kateg_JenisKelasi, DDKAY, UKLIMPA, HB_RSDK, SOSEK, DDKIB
b. Predictors: (Constant), Feritin_Gaki, Kateg_JenisKelasi, DDKAY, UKLIMPA, HB_RSDK, DDKIB c. Predictors: (Constant), Feritin_Gaki, Kateg_JenisKelasi, DDKAY, UKLIMPA, HB_RSDK d. Predictors: (Constant), Kateg_JenisKelasi, DDKAY, UKLIMPA, HB_RSDK e. Predictors: (Constant), Kateg_JenisKelasi, UKLIMPA, HB_RSDK
f. Predictors: (Constant), Kateg_JenisKelasi, UKLIMPA g. Predictors: (Constant), UKLIMPA h. Dependent Variable: Mean_Peds_QL
Coefficients a Standardize
Collinearity Statistics
Std.
Model
Tolerance VIF 1 (Constant)
B Error
.060 .804 1.243 Kateg_JenisKelasi
-.273- -1.930-
.098 .962 1.039 HB_RSDK
.297 .728 1.373 Feritin_Gaki
.051 .839 1.192 Kateg_JenisKelasi
-.274- -1.998-
.093 .965 1.036 HB_RSDK
.289 .734 1.363 Feritin_Gaki
.048 .869 1.151 Kateg_JenisKelasi
-.270- -2.028-
.082 .990 1.010 HB_RSDK
.288 .743 1.347 Feritin_Gaki
.039 .881 1.135 Kateg_JenisKelasi
-.279- -2.122-
.079 .990 1.010 HB_RSDK
.027 .896 1.116 Kateg_JenisKelasi
-.298- -2.279-
.084 .991 1.009 HB_RSDK
.005 .998 1.002 Kateg_JenisKelasi
-.365- -2.901-
-.374- -2.933-
Coefficients a Standardize
Collinearity Statistics
Std.
Model
Tolerance VIF 1 (Constant)
B Error
.060 .804 1.243 Kateg_JenisKelasi
-1.868-
.968
-.273- -1.930-
.098 .962 1.039 HB_RSDK
.297 .728 1.373 Feritin_Gaki
.051 .839 1.192 Kateg_JenisKelasi
-1.874-
.938
-.274- -1.998-
.093 .965 1.036 HB_RSDK
.289 .734 1.363 Feritin_Gaki
.048 .869 1.151 Kateg_JenisKelasi
-1.849-
.912
-.270- -2.028-
.082 .990 1.010 HB_RSDK
.288 .743 1.347 Feritin_Gaki
.039 .881 1.135 Kateg_JenisKelasi
-1.909-
.899
-.279- -2.122-
.079 .990 1.010 HB_RSDK
.027 .896 1.116 Kateg_JenisKelasi
-2.037-
.894
-.298- -2.279-
.084 .991 1.009 HB_RSDK
.005 .998 1.002 Kateg_JenisKelasi
-2.495-
.860
-.365- -2.901-
.005 1.000 1.000 a. Dependent Variable: Mean_Peds_QL
-2.557-
.872
-.374- -2.933-