Penggunaan Metode Analisis Faktor untuk Mengetahui Faktor Dominan Pernikahan Dini di Kecamatan Sei Rampahkabupaten Serdang Bedagai
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Date
2016Author
Rahmadani, Dewi
Advisor(s)
Sinulingga, Ujian
Siagian, Partano
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Factor analysis is a data analysis technique that is intended to reduce the number
of variables into smaller groups called factors. The purpose of observation is to
identify the factors driving young marriege by using factor analysis. The sampling
technique that used cluster sampling. Variables used as many as 11. From the data
obtained to test the validity and reliability and factor analysis using SPSS 17.0
software for windows. The analysis showed that there are one varaibles that are
not valid and should be excluded from analysis. Based on the research results
obtained by four dominant factors that effect teen decision to marry at a young
age that Internet (24,225%), social factors (16,526%), economic factors
(12,722%), and factor of fear of losing (10,546%). The four factors giving the
diversity of gasoline at 64,02% means the four factors is a dominant factor and the
rest of it can be influenced by factors others were not identified by research.
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- Undergraduate Theses [1471]