scholarly journals Confirmatory factor analysis of collaboration model in non-formal higher education management in southern Thailand

2018 ◽  
Vol 39 (3) ◽  
pp. 472-477
Author(s):  
Pornpichet Hanghon ◽  
Idsaratt Rinthaisong
Keyword(s):  
Higher Education ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Higher Education Management ◽  
Education Management ◽  
Collaboration Model ◽  
Confirmatory Factor ◽  
Southern Thailand

Building a yardstick–a benchmark framework for assessing higher education management institutions

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Umayal Palaniappan ◽  
L. Suganthi ◽  
Shameem Shagirbasha
Keyword(s):  
Higher Education ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Balanced Scorecard ◽  
Performance Indicators ◽  
Higher Education Management ◽  
Content Type ◽  
Education Management ◽  
Confirmatory Factor ◽  
Management Institutions

PurposeHigher education management institutions play a vibrant role in imparting managerial skills to the students to face the corporate world. Performance evaluation of such institutions is mandate to ensure the outcome quality. To establish this, the present research explored the critical performance indicators of management institutions using the balanced scorecard (BSC) approach.Design/methodology/approachThis research explored the critical performance indicators of public, private and standalone management institutions in India. Data were collected from the representative sample of all the stakeholders in those management institutions. A specific vision was created and a systematic procedure was employed to arrive at the objectives, measures and metrics of the scorecard specific to the vision. Confirmatory factor analysis was used to perform analysis on the collected data. For the objectives and measures that evolved from confirmatory factor analysis, metrics were formulated based on the expert opinion.FindingsThe study resulted in 16 objectives, 46 measures and 54 metrics encompassing all the four perspectives of BSC. This paper has contributed a concrete, concise, comprehensive and context specific framework.Research limitations/implicationsThe nature of the BSC framework paves the way for continuous assessment and eventually helps the institutions to attain sustainable growth. This research contributes to the literature of balanced scorecard and also to the performance assessment of the management institutions.Originality/valueBSC-based benchmarking is a unique contribution to the academia of management education to precisely measure the performance of institutions. The model comprehensively includes the indicators from all the perspectives of stakeholders in terms of objectives, measures and metrics, thus proposing a holistic assessment.

scholarly journals Approbation of the Decision Making Tendency Inventory in the Russian Sample

2018 ◽  
Vol 26 (3) ◽  
pp. 146-163
Author(s):  
A.Yu. Razvaliaeva
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Education Institution ◽  
Scale Structure ◽  
Personal Factors ◽  
Higher Education Institution ◽  
Confirmatory Factor ◽  
Ambiguity Intolerance

We present the results of approbating the Decision Making Tendency Inventory (Misuraca et al., 2015) in the Russian sample (N=423, Mage= 25,01, SD = 9,63). The development of H. Simon’s satisficing theory in the current studies is considered. Confirmatory factor analysis confirmed the theoretical three-scale structure of the inventory. We describe the relations between maximizing, minimizing and satisficing scales and personal factors of decision-making, age, and education (its level and difficulty). The study demonstrates that maximizing and satisficing are close tendencies, implemented in case of making important effortful and resource-consuming (e.g., time-consuming) decisions, whereas minimizing is connected to withdrawal from effort and knowledge, avoidant strategies and ambiguity intolerance. The yielded results suggest that satisficing needs to be trained in conditions of high demands for the cognitive sphere such as studying in a higher education institution.

scholarly journals Student Burnout in Higher Education: A Demand-Resource Model Approach

2022 ◽  
Author(s):  
Balázs Jagodics ◽  
Éva Szabó
Keyword(s):  
Higher Education ◽  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Confirmatory Factor Analysis ◽  
Correlation Analysis ◽  
Structural Equation ◽  
Equation Modeling ◽  
Resource Model ◽  
Confirmatory Factor ◽  
Student Burnout

AbstractStudent burnout is a serious problem in higher education. It is associated with harmful consequences, such as decreased engagement, performance, and motivation, which can lead to dropout. The job demand-resource model of burnout is a comprehensive framework to grasp the factors related to the emergence of burnout. Although numerous studies claim its suitability in explaining burnout in work environments, its applicability in the educational context is less explored. The study aimed to analyze the structure and reliability of the newly developed University Demand-Resource Questionnaire (UDRQ) and to explore the links between its subscales and symptoms of student burnout. Using the online survey method, 743 Hungarian undergraduate students participated in the data collection. The student version of the Maslach Burnout Inventory was used in addition to the UDRQ. In the data analysis procedure, confirmatory factor analysis, correlation analysis, and structural equation modeling were utilized. The confirmatory factor analysis identified a five-factor structure related to both demands and resources. Correlation analysis revealed burnout to be associated positively to the subscales of demands and negatively to resources. Structural equation modeling analysis indicated that all five demands and two resources subscales can be used to build a model that predicts a significant proportion of the variance of student burnout scores. The findings suggest the demand-resource theory is an appropriate framework to predict burnout in higher education. The newly developed UDRQ has stable structure and good reliability and can be a useful tool in subsequent research related to student burnout.

scholarly journals Expected Learning Outcomes: A Confirmatory Factor Analysis of Higher Education in Interior Architecture and Interior Design for the Thailand Development

2019 ◽  
Vol 10 (4) ◽  
pp. 11-19
Author(s):  
Pornthep Jewpairojkit ◽  
Thanin Rattanolarn ◽  
Songwut Ekwuttiwongsa
Keyword(s):  
Higher Education ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Learning Outcomes ◽  
Interior Design ◽  
Professional Education ◽  
Interpersonal Relationship ◽  
Measurement Model ◽  
Interior Architecture ◽  
Confirmatory Factor

Abstract Nowadays, the standard of professional education, interior architecture and interior design at higher education in Thailand must meet the certification criteria from the Professional Council. However, the expected learning outcomes results in the past studies has not studied the components of expected learning outcomes that are explicit and consistent with the 20-Year National Strategy. The researchers therefore aim to study such components to lead to the development of a standard measurement model to further expected learning outcomes. The researchers synthesized the initial components through the document to create and develop a questionnaire to evaluate the level of performance by estimating 5 levels and collect data with the senior students in the curriculum that has been approved by the Professional Council. Divided into 362 samples in the analysis of survey elements and 364 samples in Confirmatory Factor Analysis by Cluster Random Sampling from state and private universities. The survey component analysis resulted in 6 components along with confirmatory factor analysis of empirical component. The results of the sequence analysis of weight components from descending order as follows: Cognitive for profession skill (CP)=.96 Interpersonal relationship and responsibility skill (IR)=.89 In numerical communication and information technology skill(NC)=.87 Profession future of Thailand skill (PF)=.85 Knowledge for Professional practice skill (KPP)=.73 Moral and ethical skill (ME) =.67.

scholarly journals Measuring a University’s Image: Is Reputation an Influential Factor?

2021 ◽  
Vol 12 (1) ◽  
pp. 19
Author(s):  
Belén Gutiérrez-Villar ◽  
Purificación Alcaide-Pulido ◽  
Mariano Carbonero-Ruz
Keyword(s):  
Higher Education ◽  
Private University ◽  
University Education ◽  
Influential Factor ◽  
Three Dimensions ◽  
Higher Education Management ◽  
Two Phase ◽  
Education Management ◽  
Confirmatory Factor ◽  
The University

Today, the higher education sector can be considered a market and, within it, private university education is a common marketable service in the literature on higher education management. Research on the analysis of the variables that generate the university image has been the subject of numerous investigations. Although there is no generally accepted definition, most authors approach the measurement of image through multi-factor scales, with variables relating to functional and psychological elements. This research aims to contribute to study of the most determinant variables in measuring a product’s image, assessing especially the effect of the reputation construct. This was done through measuring the image of the “private university” product as perceived by citizens of Andalusia, based on a standardized model with three dimensions—functional and affective aspects and reputation. After adapting and validating the questionnaire, a two-phase procedure is performed with double validation through exploratory and confirmatory factor analysis. The results show an adapted scale valid for measuring the image of a generic product; with presentation and discussion of a series of advantages of incorporating reputation and measuring image through models with three dimensions. This article goes deeper into the possible influence of reputation as a determinant factor in measuring image, an assumption arising from some models for measuring image, something that so far has not been sufficiently contrasted.

Research Burnout: A Refined Multidimensional Scale

2004 ◽  
Vol 95 (3_suppl) ◽  
pp. 1253-1263 ◽  
Author(s):  
Surendra N. Singh ◽  
Nikunj Dalal ◽  
Sanjay Mishra
Keyword(s):  
Higher Education ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Intrinsic Motivation ◽  
Factorial Validity ◽  
High Expectations ◽  
Confirmatory Factor ◽  
Definition Of ◽  
Unidimensional Scale ◽  
Nomological Validity

In a prevailing academic climate where there are high expectations for faculty to publish and generate grants, the exploration of Research Burnout among higher education faculty has become increasingly important. Unfortunately, it is a topic that has not been well researched empirically. In 1997 Singh and Bush developed a unidimensional scale to measure Research Burnout. A closer inspection of the definition of this construct and the composition of its items suggests, however, that the construct may be multidimensional and analogous to Maslach's Psychological Burnout Scale. In this paper, we propose a refined, multidimensional Research Burnout scale and test its factorial validity using confirmatory factor analysis. The nomological validity of this refined scale is established by examining hypothesized relationships between Research Burnout and other constructs such as Intrinsic Motivation for doing research, Extrinsic Pressures to do research, and Knowledge Obsolescence.

scholarly journals Confirmatory factor analysis of the essential digital competencies for undergraduate students in Thai higher education institutions

2019 ◽  
Vol 9 (3) ◽  
pp. 340 ◽  
Author(s):  
Thamasan Suwanroj ◽  
Punnee Leekitchwatana ◽  
Paitoon Pimdee
Keyword(s):  
Higher Education ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Undergraduate Students ◽  
Higher Education Institutions ◽  
Public Higher Education ◽  
Digital Information ◽  
Validity And Reliability ◽  
Confirmatory Factor ◽  
Digital Competency

The purpose of this descriptive study was to apply 2nd order confirmatory factor analysis (CFA) and structural relationship models to identify the digital competency components essential to undergraduate students in Thai higher education institutions. The sample comprised 1,126 specialists in Information Technology, Computer Technology, Computer Education, Computer Science, and Computer Engineering working in public higher education instructions throughout the country. The selection was the result of multi-stage random sampling from 76 public higher education instructions that offer undergraduate education. The instrument was a questionnaire form on essential digital competency components for undergraduate students in higher education institutions. The question items employed a 7-point Likert scale and showed Cronbach's alpha values for the content validity and reliability at a range of.93-.97 per domain and .87-.99 per component. The data were analyzed using descriptive statistics for general data and 2nd Order CFA analysis. The findings revealed that from 24 observed variables, there were 7 competency components.: 1) Fundamental of digital ; 2) Accessing digital information; 3) Using digital information; 4) Creating digital information and media; 5) Communicating digital information; 6) Managing digital information; and 7) Evaluating digital information. The discovery from this study was substantially constructive for Thai higher education institutions as it could be used to design an essential digital competency framework of the 21st century.

scholarly journals Online vs. offline course evaluation revisited: testing the invariance of a course evaluation questionnaire using a multigroup confirmatory factor analysis framework

2020 ◽  
Author(s):  
Ellen Laupper ◽  
Lars Balzer ◽  
Jean-Louis Berger
Keyword(s):  
Higher Education ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Methodological Approach ◽  
Education Institution ◽  
Teaching Quality ◽  
Course Evaluation ◽  
Global Trends ◽  
Confirmatory Factor ◽  
Multigroup Confirmatory Factor Analysis

Abstract Survey-based formats of assessing teaching quality in higher education are widely used and will likely continue to be used by higher education institutions around the world as various global trends contributing to their widespread use further evolve. Although the use of mobile devices for course evaluation continues to grow, there remain some unresolved aspects of the classic paper and web-based modes of evaluation. In the current study, the multigroup confirmatory factor analysis approach (MGCFA), an accepted methodological approach in general mixed-method survey research, was chosen to address some of the methodological issues when comparing these two evaluation modes. By randomly assigning one of the two modes to 33 continuing training courses at a Swiss higher education institution, this study tested whether the two different modes of assessing teaching quality yield the same results. The practical implications for course evaluation practice in institutions of higher education as well as the implications and limitations of the chosen methodological approach are discussed.

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