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José Antonio López-Pina

Researcher at University of Murcia

Publications -  52
Citations -  1474

José Antonio López-Pina is an academic researcher from University of Murcia. The author has contributed to research in topics: Arthropathy & Ankle. The author has an hindex of 15, co-authored 46 publications receiving 1102 citations.

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The Yale-Brown Obsessive Compulsive Scale: A Reliability Generalization Meta-Analysis.

TL;DR: A reliability generalization meta-analysis on the Yale–Brown Obsessive Compulsive Scale is conducted to estimate the average reliability, examine the variability among the reliability estimates, search for moderators, and propose a predictive model that researchers and clinicians can use to estimates the expected reliability of the Y-BOCS.
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Inter- and intra-rater reliability of the Modified Ashworth Scale: a systematic review and meta-analysis.

TL;DR: Inter- and intra-rater agreement for Modified Ashworth Scale scores was satisfactory and several characteristics of the studies were statistically associated to inter- rater reliability of the scores for lower and upper extremities.
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Differential Item Functioning Detection and Effect Size: A Comparison between Logistic Regression and Mantel-Haenszel Procedures

TL;DR: In this paper, the authors compared several procedures for detecting differential item functioning (DIF): logistic regression analysis, the Mantel-Haenszel (MH) procedure, and the modified MH procedure by Mazor, Clauser, and Hambleton.
Journal Article

The Liebowitz Social Anxiety Scale for Children and Adolescents

TL;DR: Analysis of component structure and reliability of the Liebowitz Social Anxiety Scale for Children and Adolescents, self-report version (LSAS-CA-SR), in a Spanish community population suggests that the LSAS- CA-SR is reliable and valid.
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Some recommended statistical analytic practices when reliability generalization studies are conducted.

TL;DR: This work compares thirteen different statistical models for averaging reliability coefficients and searching for moderator variables that differ in terms of whether to transform or not the coefficients alpha, and the statistical model assumed, distinguishing between ordinary least squares methods.