Measuring Learning Outcomes of Entrepreneurship Education Using Structural Equation Modeling

This paper empirically substantiates a novel tripartite framework for measuring learning outcomes of entrepreneurship education (EE) by employing structural equation modeling. Three types of learning outcome are estimated—cognitive, skill-based, and affective—following Bloom’s (1956) taxonomy of edu...

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Main Authors: Inna Kozlinska, Tõnis Mets, Kärt Rõigas
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Administrative Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3387/10/3/58
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spelling doaj-c9e2770a91c24ea08e4670939915f9ef2020-11-25T03:00:06ZengMDPI AGAdministrative Sciences2076-33872020-08-0110585810.3390/admsci10030058Measuring Learning Outcomes of Entrepreneurship Education Using Structural Equation ModelingInna Kozlinska0Tõnis Mets1Kärt Rõigas2University of Groningen Centre of Entrepreneurship, University College Groningen, 9747 AT Groningen, The NetherlandsSchool of Economics and Business Administration, University of Tartu, 51009 Tartu, EstoniaSchool of Economics and Business Administration, University of Tartu, 51009 Tartu, EstoniaThis paper empirically substantiates a novel tripartite framework for measuring learning outcomes of entrepreneurship education (EE) by employing structural equation modeling. Three types of learning outcome are estimated—cognitive, skill-based, and affective—following Bloom’s (1956) taxonomy of educational objectives. The study is based on a sample of 249 imminent and recent Bachelor-level graduates from the leading universities of Estonia. The key fit, reliability, and validity indicators show statistically that the tested framework can serve as an instrument for measuring the learning outcomes of EE. This novel instrument may also serve as an alternative to entrepreneurial intention-based models very frequently used in EE to evaluate the learning outcomes. The studied interrelationships demonstrate that (1) the affective outcomes correlate significantly with the cognitive outcomes (r = 0.273, <i>p <</i> 0.001) and with the skill-based (r = 0.368, <i>p</i> < 0.001) outcomes; a correlation between the cognitive and skill-based outcomes is also significant and comparatively high (r = 0.602, <i>p</i> < 0.001); (2) the learning outcomes explain more variance in the cognitive and skill-based outcome constructs (44.7% and 81.0%, accordingly) than in the affective outcome construct (16.7%). Conclusions and implications for entrepreneurship educators and researchers are discussed.https://www.mdpi.com/2076-3387/10/3/58entrepreneurship educationlearning outcomesstructural equation modeling
collection DOAJ
language English
format Article
sources DOAJ
author Inna Kozlinska
Tõnis Mets
Kärt Rõigas
spellingShingle Inna Kozlinska
Tõnis Mets
Kärt Rõigas
Measuring Learning Outcomes of Entrepreneurship Education Using Structural Equation Modeling
Administrative Sciences
entrepreneurship education
learning outcomes
structural equation modeling
author_facet Inna Kozlinska
Tõnis Mets
Kärt Rõigas
author_sort Inna Kozlinska
title Measuring Learning Outcomes of Entrepreneurship Education Using Structural Equation Modeling
title_short Measuring Learning Outcomes of Entrepreneurship Education Using Structural Equation Modeling
title_full Measuring Learning Outcomes of Entrepreneurship Education Using Structural Equation Modeling
title_fullStr Measuring Learning Outcomes of Entrepreneurship Education Using Structural Equation Modeling
title_full_unstemmed Measuring Learning Outcomes of Entrepreneurship Education Using Structural Equation Modeling
title_sort measuring learning outcomes of entrepreneurship education using structural equation modeling
publisher MDPI AG
series Administrative Sciences
issn 2076-3387
publishDate 2020-08-01
description This paper empirically substantiates a novel tripartite framework for measuring learning outcomes of entrepreneurship education (EE) by employing structural equation modeling. Three types of learning outcome are estimated—cognitive, skill-based, and affective—following Bloom’s (1956) taxonomy of educational objectives. The study is based on a sample of 249 imminent and recent Bachelor-level graduates from the leading universities of Estonia. The key fit, reliability, and validity indicators show statistically that the tested framework can serve as an instrument for measuring the learning outcomes of EE. This novel instrument may also serve as an alternative to entrepreneurial intention-based models very frequently used in EE to evaluate the learning outcomes. The studied interrelationships demonstrate that (1) the affective outcomes correlate significantly with the cognitive outcomes (r = 0.273, <i>p <</i> 0.001) and with the skill-based (r = 0.368, <i>p</i> < 0.001) outcomes; a correlation between the cognitive and skill-based outcomes is also significant and comparatively high (r = 0.602, <i>p</i> < 0.001); (2) the learning outcomes explain more variance in the cognitive and skill-based outcome constructs (44.7% and 81.0%, accordingly) than in the affective outcome construct (16.7%). Conclusions and implications for entrepreneurship educators and researchers are discussed.
topic entrepreneurship education
learning outcomes
structural equation modeling
url https://www.mdpi.com/2076-3387/10/3/58
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