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Improving the Conduct and Reporting of Statistical Analysis in Psychology

Overview of attention for article published in Psychometrika, March 2015
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2 X users

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Title
Improving the Conduct and Reporting of Statistical Analysis in Psychology
Published in
Psychometrika, March 2015
DOI 10.1007/s11336-015-9444-2
Pubmed ID
Authors

Klaas Sijtsma, Coosje L. S. Veldkamp, Jelte M. Wicherts

Abstract

We respond to the commentaries Waldman and Lilienfeld (Psychometrika, 2015) and Wigboldus and Dotch (Psychometrika, 2015) provided in response to Sijtsma's (Sijtsma in Psychometrika, 2015) discussion article on questionable research practices. Specifically, we discuss the fear of an increased dichotomy between substantive and statistical aspects of research that may arise when the latter aspects are laid entirely in the hands of a statistician, remedies for false positives and replication failure, and the status of data exploration, and we provide a re-definition of the concept of questionable research practices.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 236 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
Sweden 1 <1%
Italy 1 <1%
Unknown 233 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 88 37%
Student > Master 23 10%
Student > Doctoral Student 21 9%
Lecturer 15 6%
Lecturer > Senior Lecturer 14 6%
Other 35 15%
Unknown 40 17%
Readers by discipline Count As %
Business, Management and Accounting 73 31%
Social Sciences 40 17%
Psychology 26 11%
Computer Science 15 6%
Economics, Econometrics and Finance 11 5%
Other 26 11%
Unknown 45 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 November 2015.
All research outputs
#17,146,438
of 25,191,684 outputs
Outputs from Psychometrika
#367
of 525 outputs
Outputs of similar age
#164,244
of 270,077 outputs
Outputs of similar age from Psychometrika
#4
of 4 outputs
Altmetric has tracked 25,191,684 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 525 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 270,077 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.