2019
DOI: 10.21909/sp.2019.04.783
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Lack of Publication Bias in Intelligence and Working Memory Research: Reanalysis of Ackerman, Beier, & Boyle, 2005

Abstract: A meta-analysis was carried out to demonstrate the existence of publication bias in research on the relationship between measures of fluid intelligence and working memory. Reanalysis of data collected in Ackerman, Beier, & Boyle, 2005 was conducted. A heterogeneous distribution of correlation coefficients in the absence of asymmetry in the distribution of coefficients was observed. According to the author of the analysis, there are no arguments for the presence of publication bias in this particular set of res… Show more

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“…The second question has to do with methodological inquiries for detecting nonresponse bias. Although many types of analyses of nonresponse bias can be conducted, four predominant approaches have been used: (1) comparing characteristics of the achieved sample, usually the demographic characteristics, with a benchmark survey [88], (2) comparing frame information for respondents and nonrespondents [89], (3) simulating statistics based on a restricted version of the observed protocol [85], often called a "level of effort" analysis, and (4) mounting experiments that attempt to produce variation in response rates across groups known to vary on a survey outcome of interest [90] Findings from these studies show that nonresponse bias varies across individual statistics within a survey and is relatively larger on project needs to be able to answer the question. (9) Missing data, dropped subjects and use of an intention to treat analysis:…”
Section: (7) Selection Errorsmentioning
confidence: 99%
“…The second question has to do with methodological inquiries for detecting nonresponse bias. Although many types of analyses of nonresponse bias can be conducted, four predominant approaches have been used: (1) comparing characteristics of the achieved sample, usually the demographic characteristics, with a benchmark survey [88], (2) comparing frame information for respondents and nonrespondents [89], (3) simulating statistics based on a restricted version of the observed protocol [85], often called a "level of effort" analysis, and (4) mounting experiments that attempt to produce variation in response rates across groups known to vary on a survey outcome of interest [90] Findings from these studies show that nonresponse bias varies across individual statistics within a survey and is relatively larger on project needs to be able to answer the question. (9) Missing data, dropped subjects and use of an intention to treat analysis:…”
Section: (7) Selection Errorsmentioning
confidence: 99%