### 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 practical importance for all paths in the model. In conclusion, both techniques used complement each other and give an added value to the hypothesized model.

Original language | Undefined/Unknown |
---|---|

Pages (from-to) | 1159-1166 |

Number of pages | 8 |

Journal | Sains Malaysiana |

Volume | 42 |

Issue number | 8 |

Publication status | Published - Aug 2013 |

### Fingerprint

### Keywords

- Comparative analysis
- Maximum likelihood
- Partial least squares estimation
- Structural equation modeling
- Value-based performance excellence model for HEIs

### ASJC Scopus subject areas

- General

### Cite this

*Sains Malaysiana*,

*42*(8), 1159-1166.

**Perbandingan anggaran parameter terhadap model kecemerlangan prestasi institut pengajian tinggi (IPT) bersandarkan nilai teras : Pendekatan penganggaran kebolehjadian maksimum (ML) dan kuasa dua terkecil separa (PLS).** / Ab Hamid, Mohd Rashid; Mustafa, Zainol; Mohd. Suradi, Nur Riza; Idris, Fazli; Abdullah, Mokhtar.

Research output: Contribution to journal › Article

*Sains Malaysiana*, vol. 42, no. 8, pp. 1159-1166.

}

TY - JOUR

T1 - Perbandingan anggaran parameter terhadap model kecemerlangan prestasi institut pengajian tinggi (IPT) bersandarkan nilai teras

T2 - Pendekatan penganggaran kebolehjadian maksimum (ML) dan kuasa dua terkecil separa (PLS)

AU - Ab Hamid, Mohd Rashid

AU - Mustafa, Zainol

AU - Mohd. Suradi, Nur Riza

AU - Idris, Fazli

AU - Abdullah, Mokhtar

PY - 2013/8

Y1 - 2013/8

N2 - 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 practical importance for all paths in the model. In conclusion, both techniques used complement each other and give an added value to the hypothesized model.

AB - 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 practical importance for all paths in the model. In conclusion, both techniques used complement each other and give an added value to the hypothesized model.

KW - Comparative analysis

KW - Maximum likelihood

KW - Partial least squares estimation

KW - Structural equation modeling

KW - Value-based performance excellence model for HEIs

UR - http://www.scopus.com/inward/record.url?scp=84880894405&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84880894405&partnerID=8YFLogxK

M3 - Article

VL - 42

SP - 1159

EP - 1166

JO - Sains Malaysiana

JF - Sains Malaysiana

SN - 0126-6039

IS - 8

ER -