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Assessing Individual Change Without Knowing the Test Properties: Item Bootstrapping

Overview of attention for article published in Frontiers in Psychology, March 2018
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Title
Assessing Individual Change Without Knowing the Test Properties: Item Bootstrapping
Published in
Frontiers in Psychology, March 2018
DOI 10.3389/fpsyg.2018.00223
Pubmed ID
Authors

Juan Botella, Desirée Blázquez, Manuel Suero, James F. Juola

Abstract

Assessing significant change (or reliable change) in a person often involve comparing the responses of that person in two administrations of a test or scale. Several procedures have been proposed to determine if a difference between two observed scores is statistically significant or rather is within the range of mere random fluctuations due to measurement error. Application of those procedures involve some knowledge of the test properties. But sometimes those procedures cannot be employed because the properties are unknown or are not trustworthy. In this paper we propose the bootstrap of items procedure to create confidence intervals of the individual's scores without using any known psychometric properties of the test. Six databases containing the responses of several groups to one or more subscales have been analyzed using two methods: bootstrap of items and a classical procedure based on confidence intervals to estimate the true score. The rates of significant change obtained were very similar, suggesting that item bootstrapping is a promising solution when other methods cannot be applied.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 25%
Researcher 2 17%
Student > Ph. D. Student 2 17%
Lecturer > Senior Lecturer 1 8%
Other 1 8%
Other 2 17%
Unknown 1 8%
Readers by discipline Count As %
Psychology 6 50%
Social Sciences 2 17%
Agricultural and Biological Sciences 1 8%
Linguistics 1 8%
Medicine and Dentistry 1 8%
Other 0 0%
Unknown 1 8%
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 13 March 2018.
All research outputs
#18,587,406
of 23,023,224 outputs
Outputs from Frontiers in Psychology
#22,495
of 30,282 outputs
Outputs of similar age
#259,325
of 333,587 outputs
Outputs of similar age from Frontiers in Psychology
#519
of 577 outputs
Altmetric has tracked 23,023,224 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
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