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Rubio Aparicio, María

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Rubio Aparicio, María
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Universidad de Murcia. Departamento de Psicología Básica y Metodología
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    A reliability generalization meta-analysis of the dimensional obsessive-compulsive scale
    (2021-02) Rubén López-Nicolás; María Rubio-Aparicio; Carmen López-Ibáñez; Julio Sánchez-Meca; López Nicolás, Rubén; Rubio Aparicio, María; López-Ibáñez, Carmen; Sánchez Meca, Julio; Psicología Básica y Metodología
    Background: The Dimensional Obsessive-Compulsive Scale (DOCS) is a well-established tool for assessing obsessive-compulsive symptomatology. A reliability generalization meta-analysis was conducted to estimate the average reliability of DOCS scores and how reliability estimates vary according to the composition and variability of samples, to identify study characteristics that can explain its variability, and to estimate the reliability induction rate. Method: A literature search produced 86 studies that met the inclusion criteria. Results: For the DOCS total scores, an average alpha coefficient of .925 was found (95% CI [.920,.931]), as well as mean alphas of .881, .905, .913, and .914 for Contamination, Responsibility, Unacceptable Thoughts, and Symmetry subscales, respectively. Moderator analysis showed that internal consistency fell signifi cantly the more clinical and subclinical participants there were in the sample, and the larger the mean score in the sample for the total scores. The most important moderator variables for the subscales were the standard deviation and the mean of the scores. Conclusions: The DOCS scores exhibited excellent internal consistency reliability for both total score and subscale scores and DOCS is suitable both for research and clinical purposes.
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    Reproducibility of Published Meta-Analyses on Clinical-Psychological Interventions
    (SAGE Publications, 2024-02-05) López Nicolás, Rubén; Lakens, Daniel; López López, José Antonio; Rubio Aparicio, María; Sandoval Lentisco, Alejandro; López-Ibáñez, Carmen; Blázquez-Rincón, Desirée; Sánchez Meca, Julio; Psicología Básica y Metodología; Facultad de Psicología y Logopedia
    Meta-analysis is one of the most useful research approaches, the relevance of which relies on its credibility. Reproducibility of scientific results could be considered as the minimal threshold of this credibility. We assessed the reproducibility of a sample of meta-analyses published between 2000 and 2020. From a random sample of 100 articles reporting results of meta-analyses of interventions in clinical psychology, 217 meta-analyses were selected. We first tried to retrieve the original data by recovering a data file, recoding the data from document files, or requesting it from original authors. Second, through a multistage workflow, we tried to reproduce the main results of each meta-analysis. The original data were retrieved for 67% (146/217) of meta-analyses. Although this rate showed an improvement over the years, in only 5% of these cases was it possible to retrieve a data file ready for reuse. Of these 146, 52 showed a discrepancy larger than 5% in the main results in the first stage. For 10 meta-analyses, this discrepancy was solved after fixing a coding error of our data-retrieval process, and for 15 of them, it was considered approximately reproduced in a qualitative assessment. In the remaining meta-analyses (18%, 27/146), different issues were identified in an in-depth review, such as reporting inconsistencies, lack of data, or transcription errors. Nevertheless, the numerical discrepancies were mostly minor and had little or no impact on the conclusions. Overall, one of the biggest threats to the reproducibility of meta-analysis is related to data availability and current data-sharing practices in meta-analysis.
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