Measuring quality of good educator scales: A second-order Confirmatory Factor Analysis (CFA)

In an institution of higher learning, measuring the quality of a good educator using second-order confirmatory factor analysis is seen as impacting lecturers' success. In grouping the psychometric attributes of good educators in Nigeria, this research offers a four-factor solution using a second-order confirmatory factor. A quantitative analysis method was used for 235 survey data sets collected and processed with AMOS 23.0. The hypothesized model had four latent variables: the quality of a good educator, quality class control, effective communication, keeping a diary, and mastery of the subject. Second-order confirmatory factor analysis techniques were employed on the hypothesized model with four latent variables: the quality of a good educator, quality class control, effective communication, keeping a diary, and mastery of the subject. The fit indices criteria demonstrate that the goodness-of-fit indices are satisfactory with the postulated model. The four criteria recognized as the quality of a good educator's enablers of the lecturer's ability to teach are the underlying determinants of the quality of a good educator. This paper implies that educators should pay more attention to the four determining variables. The relationship between the underlying characteristics and lecturer achievement in a tertiary institution should be investigated

Authors

Publication Details

Journal
International journal of economics and business management
Published
2025-05-17
DOI
https://doi.org/10.59568/ijebm-2025-1-2-27
Primary Topic
Technology and Data Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Measuring quality of good educator scales: A second-order Confirmatory Factor Analysis (CFA)

Taiwo Owoeye, Bojuwon Mustapha, Theresa Omolade Bamisaye, Rafiyat Bosede Abiloro et al.
International journal of economics and business management
Technology and Data Analysis
article

Measuring quality of good educator scales: A second-order Confirmatory Factor Analysis (CFA)

Taiwo Owoeye, Bojuwon Mustapha, Theresa Omolade Bamisaye, Rafiyat Bosede Abiloro, Roseline Osatohanmwen Adeboboye
article en

Abstract

In an institution of higher learning, measuring the quality of a good educator using second-order confirmatory factor analysis is seen as impacting lecturers' success. In grouping the psychometric attributes of good educators in Nigeria, this research offers a four-factor solution using a second-order confirmatory factor. A quantitative analysis method was used for 235 survey data sets collected and processed with AMOS 23.0. The hypothesized model had four latent variables: the quality of a good educator, quality class control, effective communication, keeping a diary, and mastery of the subject. Second-order confirmatory factor analysis techniques were employed on the hypothesized model with four latent variables: the quality of a good educator, quality class control, effective communication, keeping a diary, and mastery of the subject. The fit indices criteria demonstrate that the goodness-of-fit indices are satisfactory with the postulated model. The four criteria recognized as the quality of a good educator's enablers of the lecturer's ability to teach are the underlying determinants of the quality of a good educator. This paper implies that educators should pay more attention to the four determining variables. The relationship between the underlying characteristics and lecturer achievement in a tertiary institution should be investigated

International journal of economics and business managementVol. 1(2)
Openalex Percentile: Top 66%
Technology and Data Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.