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subject data are not used in meta-analyses because the data analyzed are at the study level. Methodological issues like the importance of using both target-present and target-absent lineups, the measurement of description accuracy, the type of moderator analyses in meta-analyses, the role of publication bias, and stress in simulation studies in comparison with archival analyses of crime cases are discussed. Table 3.3 Mixed Methods Design Reporting Standards (JARS.
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Theoretical issues, in particular the role of stress and arousal along the timeline of encoding, consolidation and retrieval phase, as well as the role of expectancy violations are highlighted. Moderator analyses explored rival theoretical approaches and boundary conditions of the observed effects. Unusualness similarly affected person descriptions but not identifications. Different templates are available depending on the type of review (new or updated) and sources used to identify studies. It maps out the number of records identified, included and excluded, and the reasons for exclusions.
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calculate the log odds ratio (3.2) and its standard error (3.3). Parallel analyses tested the notion that the unusualness of an object is responsible for the WFE. The flow diagram depicts the flow of information through the different phases of a systematic review. Meta-analysis plays a key role in evidence synthesis in many research disciplines. However, for the accuracy of descriptions of the target a significant, medium size WFE was observed. User-friendly general package providing standard methods for meta-analysis and supporting Schwarzer, Carpenter, and Rücker