octubre 31, 2025

Desarrollo y validación de una encuesta sobre Judo inclusivo

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Gaston Descamps, Alain Massart, Terry Rizzo, Viktorija Pečnikar Oblak y Maria João Campos

Este estudio desarrolló y perfeccionó la encuesta de Actitudes de los Profesores de Judo hacia la Inclusión de Participantes con Trastornos del Desarrollo Intelectual (J-TAID), abordando la necesidad de evaluar actitudes, normas subjetivas, control conductual percibido e intención con respecto a la inclusión, y fundamentada en la Teoría del Comportamiento Planificado. La encuesta, traducida al inglés, portugués, francés y esloveno, se administró a 163 participantes con el fin de evaluar su confiabilidad y validez utilizando alfa de Cronbach, Análisis de Componentes Principales (PCA), Análisis Factorial Confirmatorio (CFA) y Análisis Factorial Exploratorio (EFA). La consistencia interna con respecto a las actitudes, normas subjetivas y constructos conductuales percibidos varió de 0,79 a 0,80, con una confiabilidad test-retest mejorando, demostrando una estabilidad temporal de moderada a fuerte (α = 0,679–0,813). El PCA y el CFA identificaron una estructura sólida de tres factores que explica el 74% de la varianza, con un buen ajuste del modelo (RMSEA = 0,048, CFI = 0,978). Las correlaciones de Pearson respaldaron los constructos de TPB. El J-TAID refinado demuestra validez y confiabilidad para su propósito previsto, aunque los resultados aún son preliminares y las limitaciones que se observaron sugieren la necesidad de una mayor validación.

Table 1. Cronbach’s alpha score for each of the constructs.

ConstructNumber of ItemsCronbach’s Alpha
Behavioral Beliefs100.59
Normative Beliefs100.76
Control Beliefs100.63
Attitudes40.79
SN30.52 (initial), 0.79 (after refinement)
PBC30.68 (initial), 0.80 (after refinement)

Table 2. Rotated Factor Matrix.

Factor
123
SN010.170.750.35
SN02−0.040.810.14
PBC010.760.070.37
PBC020.760.020.24
ATT010.240.140.63
ATT020.150.250.54
ATT030.260.150.63
ATT040.360.250.71
Factor 1 included PBC01 and PBC02, Factor 2 included SN01 and SN02, and Factor 3 included ATT01, ATT02, ATT03, and ATT04.

Table 3. Factor loadings and error variances.

PathEstimateStandard ErrorLambda (λ)Error (e)Relationship Description
ATT → ATT020.8570.1300.856560.66107Strong relationship
PBC → PBC020.8420.0950.841950.44090Strong relationship
SN → SN020.6450.1250.644840.57998Moderate relationship
SN → SN030.1060.1020.105500.98876Poor indicator
ATT → ATT031.0100.1331.010020.52874Unusually high loading
ATT → ATT041.2570.1401.256790.27033Unusually high loading
PBC → PBC030.4520.0960.452410.83857Weaker relationship
PBC → PBC010.2110.073Not Applicable0.21128Low error variance
ATT → ATT01Not ApplicableNot ApplicableNot Applicable0.53805Factor loading not applicable

Table 4. Variance explained by factors.

FactorInitial EigenvaluesExtraction Sums of Squared LoadingsRotation Sums of Squared Loadings
Total% VarianceCumulative %Total% VarianceCumulative %Total% VarianceCumulative %
12.8125.5%25.5%2.3221.1%21.1%2.0718.8%18.8%
22.0618.7%44.2%1.4313.0%34.0%1.3011.8%30.6%
31.2611.4%55.6%0.645.9%39.9%1.029.2%39.9%
Factor loadings indicate the correlation of each variable with the factor. Table 4 presents the loadings after rotation for both solutions.

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