PENENTUAN UKURAN SAMPEL DALAM MULTILEVEL SEM MELALUI ANALISIS POWER

Devita Norani Saragih, Septiadi Padmadisastra, Neneng Sunengsih

Abstract


Dalam makalah ini, ditentukan ukuran sampel yang dibutuhkan dalam Multilevel SEM dengan
menggunakan  pendekatan  analisis  power.  Penelitian  ini  menggunakan  simulasi  Monte  Carlo untuk  membangkitkan  data  dan  menilai  keakuratan  model  Multilevel  SEM.  Dengan
menggunakan  pendekatan  ini,  dapat  ditentukan  jumlah  sampel  optimum  yang  dibutuhkan
dengan mengkombinasikan banyaknya sampel  group dan banyaknya sampel dalam  group  yang memberikan  power  tertentu,  misalnya  0.80.  Jumlah  sampel  sangat  tergantung  pada  tujuan spesifik dari peneliti dan kompleksitas model.

Keywords


Multilevel SEM; power analysis; sample size; Monte Carlo;

Full Text:

PDF

References


Bachrudin, Achmad dan Tobing, Harapan L. (2003). Analisis Data Untuk Penelitian Survay dengan menggunakan LISREL 8. Jurusan Statistika FMIPA-UNPAD, Indonesia

Bandalos, D.L. (2006). The use of Monte Carlo Studies in Structura Equation Modeling Research. In G.R. Hancock & R.O. Mueller (Eds.), Structural Equation Modeling: A second Course (p. 385-426). Greenwich (Conn.): IAP

Bartlet,James E.,Kortlik,Joe W.,Higgins,Cadwik C.(2001). Determining Appropriate Sample Size in Survey Research. Information Technology. Learning, and Performance Journal, Vol. 19, No. 1, Spring Publication

Cochran, W. G. (1977). Sampling techniques (3rd ed.).New York: John Wiley & Sons.

Cohen, J. (1988). Statistical power analysis for the behavioural sciences (2nd ed.). Hillsdale, N J: Erlbaum.

Dattalo, P. (2008). Determining Sample Size. New York: Oxford University Press.

Joreskog, K. G., & Sorbom, D. (1993). LISREL 8." Structural equation modeling with the SIMPLIS command language. Hillsdale, N J: Erlbaum.

MacCallum, Browne, And Sugawara. (1996). Power Analysis and Determination of Sample Size For Covariance Structure Modelling. American Psycological Association , Ohio State University.

Meuleman, Bart, And Billiet, Jaak (2009). A Monte Carlo sample size study: How many countries are needed for accurate multilevel SEM?. Survei Researvh Methods. Vol 3. No.1. pp. 45-58.

Muthen, B.O., and Satorra,A. (1995). Complex Sample Data in Structural Equation Modeling.Sociological Methodology. Vol. 25. Pp. 267-316.

Muthen, B.O. (1994). Multilevel Covariance Structure Analysis. Sociological Methods and Research. Vol. 22. No 3. Pp. 376-398.

Muthén, L.K. and Muthén, B.O. (2002). How to use a Monte Carlo study to decide on sample size and determine power. Structural Equation Modeling, 4, 599-620.

Park, Hun Myoung. (2008). Hypothesis Testing and Statistical Power of a Test. Working Paper. The University Information Technology Services (UITS) Centre for Statistical and Mathematical Computing, Indiana University.†http://www.indiana.edu/~statmath/stat/all/power/index.html

Ryu, E. & West, S. G. (2009). Level-specific evaluation of model fit in multilevel structural equation modeling. Structural Equation Modeling. 16, 583-601.

Suskandari, Dyah. (2008). Penentuan ukuran Sampel Dalam SEM Melalui Analisis Power Berdasarkan metode RMSEA. Thesis. Universitas Padjajaran


Refbacks

  • There are currently no refbacks.




Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

© 2017-2020 | Hak Cipta Dilindungi | Departemen Statistika FMIPA Universitas Padjadjaran | Powered by OJS