Student’s Academic Efficacy or Inefficacy? An Example on How to Evaluate the Psychometric Properties of a Measuring Instrument and Evaluate the Effects of Item Wording
TLDR
In this article, the effect of item inversion on the construct validity and reliability of psychometric scales and proposed a theoretical framework for the evaluation of the psychometric properties of data gathered with psychometric instruments.Abstract:
This study
evaluated the effect of item inversion on the construct validity and
reliability of psychometric scales and proposed a theoretical framework for the
evaluation of the psychometric properties of data gathered with psychometric
instruments. To this propose, we used the Maslach Burnout Inventory, which is
the most used psychometric inventory to measure burnout in different
professional context (Students, Teachers, Police, Doctors, Nurses, etc…). The
version of the MBI used was the MBI-Student Survey (MBI-SS). This inventory is
composed of three key dimensions: Exhaustion, Cynicism and Professional
Efficacy. The two first dimensions—which have positive formulated items—are
moderate to strong positive correlated, and show moderate to strong negative
correlations with the 3rd dimension—which has negative formulated items. We
tested the hypothesis that, in college students, formulating the 3rd dimension
of burnout as Inefficacy (reverting the
negatively worded items in the Efficacy dimension) improves the
correlation of the 3rd dimension with the other two dimensions, improves its
internal consistency, and the overall MBI-SS’ construct validity and
reliability. Confirmatory factor analysis results, estimated by Maximum
Likelihood, revealed adequate factorial fit for both forms of the MBI-SS (with
Efficacy) vs. the MBI-SSi (with Inefficacy). Also both forms showed adequate
convergent and discriminant related validity. However, reliability and
convergent validity were higher for the MBI-SSi. There were also stronger
(positive) correlations between the 3 factors in MBI-SSi than the ones observed
in MBI-SS. Results show that positively rewording of the 3rd dimension of the
MBI-SS improves its validity and reliability. We therefore propose that the 3rd
dimension of the MBI-SS should be named Professional Inefficacy and its items
should be positively worded.read more
Citations
More filters
Journal ArticleDOI
Transcultural Adaptation of the Oldenburg Burnout Inventory (OLBI) for Brazil and Portugal.
TL;DR: The psychometric properties of the Oldenburg Burnout Inventory version adapted for workers from Brazil and Portugal, and to compare burnout across countries and sexes are described and OLBI's validity evidence based on the internal structure, reliability, and measurement invariance are described.
Journal ArticleDOI
Predictors of academic efficacy and dropout intention in university students: Can engagement suppress burnout?
João Maroco,Hugo Assunção,Heidi Harju-Luukkainen,Su-Wei Lin,Pou-seong Sit,Kwok-cheung Cheung,Benvindo Felismino Samuel Maloa,Ivana Stepanovic Ilic,Thomas J. Smith,Juliana Alvares Duarte Bonini Campos +9 more
TL;DR: It is found that both student engagement and burnout are good predictors of subjective academic performance and dropout intention, however, student burnout suppresses the effect of student engagement on these variables.
Journal ArticleDOI
University Student Engagement Inventory (USEI): Psychometric properties
TL;DR: In this paper, a tridimensional conceptualization of academic engagement has been accepted (behavioral, emotional and cognitive dimensions), and the dimensionality, internal consistency reliability and invariance of the University Student Engagement Inventory (USEI) taking into consideration both gender and the scientific area of graduation.
Journal ArticleDOI
Student Burnout: A Case Study about a Portuguese Public University.
TL;DR: In this article, the authors focused on academic burnout and taking medication as a consequence of the requirements of the academic path of students at a Portuguese public university, and a quantitative methodology was used, consisting of the distribution of a questionnaire to a sample of students from the analyzed university.
Journal ArticleDOI
Burnout and dropout intention in medical students: the protective role of academic engagement
Sara Abreu Alves,Jorge Sinval,Lia Lucas Neto,João Maroco,António Gonçalves Ferreira,Pedro Henrique Barbosa Oliveira +5 more
TL;DR: In this article , a model that relates the effects of coping strategies, social support satisfaction, general distress on academic engagement, burnout, and dropout intention, on medical students was tested.
References
More filters
Journal ArticleDOI
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Claes Fornell,David F. Larcker +1 more
TL;DR: In this paper, the statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined, and a drawback of the commonly applied chi square test, in additit...
Book
Principles and Practice of Structural Equation Modeling
TL;DR: The book aims to provide the skills necessary to begin to use SEM in research and to interpret and critique the use of method by others.
Journal ArticleDOI
Multivariate data analysis
TL;DR: This chapter discusses Structural Equation Modeling: An Introduction, and SEM: Confirmatory Factor Analysis, and Testing A Structural Model, which shows how the model can be modified for different data types.
Book
Structural Equations with Latent Variables
TL;DR: The General Model, Part I: Latent Variable and Measurement Models Combined, Part II: Extensions, Part III: Extensions and Part IV: Confirmatory Factor Analysis as discussed by the authors.
Book
Structural Equation Modeling With Mplus: Basic Concepts, Applications, And Programming
TL;DR: Structural Equation Models: The Basics using the EQS Program and testing for Construct Validity: The Multitrait-Multimethod Model and Change Over Time: The Latent Growth Curve Model.