A Proposed MIMIC Structural Equation Model for Assessing Factors Affecting Time to Degree—The Case of the Greek Tertiary System

Using a structural equation modeling approach, this study has attempted to untangle the underlying pathways on how students’ demographics and pre-college characteristics that reflect academic preparation, combined with major factors formulated in the university environment, affect time to degree. It does so by developing and evaluating a conceptual framework whereupon time to degree is associated with specific observed or latent factors. A properly tailored Multiple Indicator Multiple Causes SEM was used for evaluating the hypotheses made on a sample of 1137 graduates which came from a Greek University of Social and Political Science, Athens, Greece. AMOS and LISREL packages were used for the analysis. The results reveal interesting direct and indirect relationships of the various predictor variables with time to degree. In particular, the great contribution of student performance and academic integration to time to graduation has been highlighted. However, the contribution of the pre-university features is also worthy of attention.

Authors

Institutions

Publication Details

Journal
Education Sciences
Published
2025-02-05
DOI
https://doi.org/10.3390/educsci15020187
Citations
5
Primary Topic
Higher Education Research Studies
Type
article
Field-Weighted Citation Impact
44.63
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Proposed MIMIC Structural Equation Model for Assessing Factors Affecting Time to Degree—The Case of the Greek Tertiary System

Dimitrios Kalamaras, Fani Nasika, Laura Maska
5 citations
Education Sciences
Higher Education Research Studies
44.63
article

A Proposed MIMIC Structural Equation Model for Assessing Factors Affecting Time to Degree—The Case of the Greek Tertiary System

Dimitrios Kalamaras, Fani Nasika, Laura Maska
article en
5 citations

Abstract

Using a structural equation modeling approach, this study has attempted to untangle the underlying pathways on how students’ demographics and pre-college characteristics that reflect academic preparation, combined with major factors formulated in the university environment, affect time to degree. It does so by developing and evaluating a conceptual framework whereupon time to degree is associated with specific observed or latent factors. A properly tailored Multiple Indicator Multiple Causes SEM was used for evaluating the hypotheses made on a sample of 1137 graduates which came from a Greek University of Social and Political Science, Athens, Greece. AMOS and LISREL packages were used for the analysis. The results reveal interesting direct and indirect relationships of the various predictor variables with time to degree. In particular, the great contribution of student performance and academic integration to time to graduation has been highlighted. However, the contribution of the pre-university features is also worthy of attention.

Education SciencesVol. 15(2)
Aegean College, University of the Aegean (GR)
Openalex Percentile: Top 0%
Higher Education Research Studies
44.63
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.