Preliminary Study: Construction of the Indonesian Family Function Measuring Instruments

Abstract

This study aimed to measure a family function with high school students using the principal component analysis (PCA) technique. The target population was Senior high school students (SMA) with a sample size of 319 respondents obtained through random sampling technique. Principal Component Analysis was then applied to analyze construct validity, orthogonal rotation, and varimax extraction. The results showed eight factors, including love, education, socialization, environmental development, economy, religion, reproduction, socio-culture, and future protection, each with a correlation coefficient of 0.000, can measure different independent and unrelated aspects. Also, a Gutman method applied on an Internal consistency reliability test yielded λ= 0.983, implying it is possiby used to assess a family function.