PRINCIPAL COMPONENT ANALYSIS (PCA) DAN APLIKASINYA DENGAN SPSS
PCA (Principal Component Analysis ) are statistical techniques applied to a single set of variables when the researcher is interested in discovering which variables in the setform coherent subset that are relativity independent of one another.Variables that are correlated with one another but largel...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Andalas University, Faculty of Public Health
2009-03-01
|
| Series: | Jurnal Kesehatan Masyarakat Andalas |
| Online Access: | http://jurnal.fkm.unand.ac.id/index.php/jkma/article/view/68 |
| _version_ | 1797943211453317120 |
|---|---|
| author | Hermita Bus Umar |
| author_facet | Hermita Bus Umar |
| author_sort | Hermita Bus Umar |
| collection | DOAJ |
| description | PCA (Principal Component Analysis ) are statistical techniques applied to a single set of variables when the researcher is interested in discovering which variables in the setform coherent subset that are relativity independent of one another.Variables that are correlated with one another but largely independent of other subset of variables are combined into factors. The Coals of PCA to which each variables is explained by each dimension. Step in PCA include selecting and mean measuring a set of variables, preparing the correlation matrix, extracting a set offactors from the correlation matrixs. Rotating the factor to increase interpretabilitv and interpreting the result. |
| first_indexed | 2024-04-10T20:19:34Z |
| format | Article |
| id | doaj.art-163d3a350d74475f97c2a816c619d243 |
| institution | Directory Open Access Journal |
| issn | 1978-3833 2442-6725 |
| language | English |
| last_indexed | 2024-04-10T20:19:34Z |
| publishDate | 2009-03-01 |
| publisher | Andalas University, Faculty of Public Health |
| record_format | Article |
| series | Jurnal Kesehatan Masyarakat Andalas |
| spelling | doaj.art-163d3a350d74475f97c2a816c619d2432023-01-26T02:25:39ZengAndalas University, Faculty of Public HealthJurnal Kesehatan Masyarakat Andalas1978-38332442-67252009-03-01329710110.24893/jkma.v3i2.6867PRINCIPAL COMPONENT ANALYSIS (PCA) DAN APLIKASINYA DENGAN SPSSHermita Bus UmarPCA (Principal Component Analysis ) are statistical techniques applied to a single set of variables when the researcher is interested in discovering which variables in the setform coherent subset that are relativity independent of one another.Variables that are correlated with one another but largely independent of other subset of variables are combined into factors. The Coals of PCA to which each variables is explained by each dimension. Step in PCA include selecting and mean measuring a set of variables, preparing the correlation matrix, extracting a set offactors from the correlation matrixs. Rotating the factor to increase interpretabilitv and interpreting the result.http://jurnal.fkm.unand.ac.id/index.php/jkma/article/view/68 |
| spellingShingle | Hermita Bus Umar PRINCIPAL COMPONENT ANALYSIS (PCA) DAN APLIKASINYA DENGAN SPSS Jurnal Kesehatan Masyarakat Andalas |
| title | PRINCIPAL COMPONENT ANALYSIS (PCA) DAN APLIKASINYA DENGAN SPSS |
| title_full | PRINCIPAL COMPONENT ANALYSIS (PCA) DAN APLIKASINYA DENGAN SPSS |
| title_fullStr | PRINCIPAL COMPONENT ANALYSIS (PCA) DAN APLIKASINYA DENGAN SPSS |
| title_full_unstemmed | PRINCIPAL COMPONENT ANALYSIS (PCA) DAN APLIKASINYA DENGAN SPSS |
| title_short | PRINCIPAL COMPONENT ANALYSIS (PCA) DAN APLIKASINYA DENGAN SPSS |
| title_sort | principal component analysis pca dan aplikasinya dengan spss |
| url | http://jurnal.fkm.unand.ac.id/index.php/jkma/article/view/68 |
| work_keys_str_mv | AT hermitabusumar principalcomponentanalysispcadanaplikasinyadenganspss |