Sains Malaysiana 42(8)(2013): 1159–1166

Perbandingan Anggaran Parameter Terhadap Model Kecemerlangan Prestasi Institut Pengajian Tinggi

 Bersandarkan Nilai Teras: Pendekatan Penganggaran Kebolehjadian Maksimum (ML)

dan Kuasa Dua Terkecil Separa (PLS)

(Comparison of Parameter Estimates on Value-based Performance Excellence Model for Higher Education Institutes: Approach of Maximum Likelihood (ML) and Partial Least Squares (PLS) Estimations)

Mohd Rashid Ab Hamid

Fakulti Sains dan Teknologi Industri, Universiti Malaysia Pahang, Lebuhraya Tun Abdul Razak

26300 UMP Kuantan, Pahang, Malaysia

Zainol Mustafa*, Nur Riza Mohd Suradi

Pusat Pengajian Sains Matematik, Fakulti Sains dan Teknologi, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor D.E.Malaysia

Fazli Idris

Graduate School of Business (GSB), Universiti Kebangsaan Malaysia

43600 UKM Bangi, Selangor D.E. Malaysia

Mokhtar Abdullah

Universiti Pertahanan Nasional Malaysia, Kem Sg. Besi, 53000 Kuala Lumpur, Malaysia

Received: 9 May 2012/Accepted: 17 December 2012

ABSTRAK

Pemodelan persamaan struktur (SEM) merupakan analisis statistik multivariat yang mengkaji hubungan antara konstruk mengikut teori atau kajian terdahulu melalui model hipotesis yang dibina. Kebiasaannya, kaedah penganggaran yang digunakan dalam analisis pemodelan ini adalah penganggaran kebolehjadian maksimum (ML). Kaedah penganggaran tersebut memerlukan taburan data yang bersifat kenormalan multivariat di samping memenuhi bilangan sampel yang tertentu. Oleh itu, penganggaran kuasa dua terkecil separa (PLS) amat berperanan dalam mengatasi dua kekangan berkenaan dan isu multikolineariti. Oleh itu makalah ini bertujuan untuk melakukan analisis perbandingan keputusan pemodelan terhadap anggaran parameter dalam Model Kecemerlangan Prestasi Institusi Pengajian Tinggi (IPT) bersandarkan nilai teras bagi mendapatkan model akhir yang mematuhi kedua-dua teknik penganggaran ML dan PLS berkenaan. Model akhir merupakan model kecemerlangan yang disemak semula berdasarkan tahap kesignifikanan secara statistik dan penting secara praktikal bagi semua pekali lintasan dalam model. Kesimpulannya, kedua-dua teknik penganggaran yang digunakan saling melengkapi antara satu sama lain dan memberikan nilai tambah kepada model hipotesis yang diuji.

Kata kunci: Analisis perbandingan; kebolehjadian maksimum; model kecemerlangan prestasi IPT bersandarkan nilai teras; pemodelan persamaan struktur; penganggaran kuasa dua terkecil separa

ABSTRACT

Structural equation modeling (SEM) is a multivariate statistical analysis that examines the relationship between the constructs as posited by theory or previous studies through the developed hypothesised model. Usually, the estimation method used in the modeling analysis is the maximum likelihood (ML) estimation. This estimation method requires data that are multivariate normally distributed while meeting the required sample size. Following this, partial least squares (PLS) has its roles in overcoming those constraints and multicollinearity issue. Therefore, this paper aimed to do comparative analysis of the modeling results on parameter estimates of value-based performance excellence model for Higher Education Institutions (HEIs) to obtain a final model that meets the two estimation of ML and PLS. The final model is the revised model based on the statistical significance and practically importance for all paths in the model. In conclusion, both techniques used complement each other and give an added value to the hypothesized model.

Keywords: Comparative analysis; maximum likelihood; partial least squares estimation; structural equation modeling; value-based performance excellence model for HEIs

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*Corresponding author; email: zbhm@ukm.my