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N-pact因素:从样本量和统计功效方面评估实证性期刊的质量。

The N-pact factor: evaluating the quality of empirical journals with respect to sample size and statistical power.

作者信息

Fraley R Chris, Vazire Simine

机构信息

Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, Illinois, United States of America.

Department of Psychology, University of California Davis, Davis, California, United States of America.

出版信息

PLoS One. 2014 Oct 8;9(10):e109019. doi: 10.1371/journal.pone.0109019. eCollection 2014.

DOI:10.1371/journal.pone.0109019
PMID:25296159
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4189949/
Abstract

The authors evaluate the quality of research reported in major journals in social-personality psychology by ranking those journals with respect to their N-pact Factors (NF)-the statistical power of the empirical studies they publish to detect typical effect sizes. Power is a particularly important attribute for evaluating research quality because, relative to studies that have low power, studies that have high power are more likely to (a) to provide accurate estimates of effects, (b) to produce literatures with low false positive rates, and (c) to lead to replicable findings. The authors show that the average sample size in social-personality research is 104 and that the power to detect the typical effect size in the field is approximately 50%. Moreover, they show that there is considerable variation among journals in sample sizes and power of the studies they publish, with some journals consistently publishing higher power studies than others. The authors hope that these rankings will be of use to authors who are choosing where to submit their best work, provide hiring and promotion committees with a superior way of quantifying journal quality, and encourage competition among journals to improve their NF rankings.

摘要

作者通过根据N值效应因素(NF)对主要社会人格心理学杂志进行排名,来评估这些杂志所报道研究的质量。N值效应因素是指这些杂志所发表实证研究检测典型效应量的统计功效。功效是评估研究质量的一个特别重要的属性,因为相对于功效低的研究,功效高的研究更有可能:(a)提供准确的效应估计;(b)产生假阳性率低的文献;(c)得出可重复的研究结果。作者表明,社会人格研究中的平均样本量为104,该领域检测典型效应量的功效约为50%。此外,他们还表明,各杂志所发表研究的样本量和功效存在相当大的差异,一些杂志持续发表功效更高的研究。作者希望这些排名能对选择将最佳作品投往何处的作者有所帮助,为招聘和晋升委员会提供一种更好的量化杂志质量的方法,并鼓励各杂志之间展开竞争以提高其N值效应因素排名。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8a9/4189949/14bc846fdaec/pone.0109019.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8a9/4189949/37aca1a283a4/pone.0109019.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8a9/4189949/14bc846fdaec/pone.0109019.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8a9/4189949/37aca1a283a4/pone.0109019.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8a9/4189949/14bc846fdaec/pone.0109019.g002.jpg

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