Publication bias and meta-analysis

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  • Meta-analysis

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  • Working through the blues: A meta-analysis on Interpersonal Psychotherapy for depressed adolescents (IPT-A)

    2018, Children and Youth Services Review
    Citation Excerpt :

    In contrast, certain features from this study further strengthened the conclusions. For instance, the inclusion of non-published studies during the collection period allowed for a more complete sample of studies and took into account the possibility of publication bias (Smith, 1980; Sterling, 1959). Further, the realistic percentage of female and male participants (65.4% female, 34.6% male) was congruent with the actual ratio of female to male adolescents suffering from depression (2:1 female to male ratio; Hyde, Mezulis, & Abramson, 2008).

  • I believe, therefore I achieve (and vice versa): A meta-analytic cross-lagged panel analysis of self-efficacy and academic performance

    2018, Learning and Individual Differences
    Citation Excerpt :

    Full search parameters are available as an online Supplementary file. In order to reduce the risk of publication bias, unpublished papers such as dissertations and theses were eligible for inclusion (Smith, 1980). In addition, there were no restrictions on year of publication or language, as long as abstracts were available in English.

  • Anxiety-linked attentional bias and its modification: Illustrating the importance of distinguishing processes and procedures in experimental psychopathology research

    2016, Behaviour Research and Therapy
    Citation Excerpt :

    In the words of Hans Eysenck (1984) “adding apples and oranges may be a pastime for children learning to count, but unless we are willing to disregard the difference between these two kinds of fruit, the result will be meaningless (pg. 57)”. To be fair, the counter to Eysenck' criticism is that such summation may be warranted when the questions motivating meta-analysis concern fruit in general (Smith et al., 1980). However, what this hoary example serves to highlight is that the range of studies it is legitimate to combine within any meta-analysis depends critically upon the specific question that it intended to answer.

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