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Cited by 324

The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.

Tests for Normality and Measures of Skewness and Kurtosis: Their Place in Research Reporting

Hopkins, Kenneth D., Weeks, Douglas L.·1990·Educational and Psychological Measurement

Abstract

Even though research interest is typically greatest for questions pertaining to central tendency and, to a lesser degree, variability, knowledge about the nature of a measure or variable is impoverished when information about the shape of the frequency distribution is ignored. This paper makes the point that descriptive and inferential measures of non-normality should be a routine part of research reporting, along with graphic displays of the frequency distribution of important variables. This point is especially true for research involving measures with non-arbitrary metrics where the shape of the distribution is not affected by measurement artifacts.

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Metadata

Authors
Hopkins, K. D., & Weeks, D. L.
Venue
Educational and Psychological Measurement
Published
1990-12
Volume
50
Issue
4
Pages
717-729
ISSN
  • 0013-1644 (ISSN-L)
  • 1552-3888
OpenAlex
W1994521026
Cited by
324
References
31
FWCI
1.70
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Tests for Normality and Measures of Skewness and Kurtosis: Their Place in Research Reporting. https://app.cochat.ai/papers/10.1177/0013164490504001
The paper
Hopkins, K. D., & Weeks, D. L. (1990). Tests for Normality and Measures of Skewness and Kurtosis: Their Place in Research Reporting. Educational and Psychological Measurement. https://doi.org/10.1177/0013164490504001

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.