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Literature DB >> 31290077

Statistical Guideline #2: Report Appropriate Reliability for your Sample, Measure, and Design.

Abstract

From the Editors: This is the second column from the Statistics Guru. The Statistics Guru will appear in every issue. In these columns, we briefly discuss appropriate ways to analyze and present data in the journal. As such, the Statistics Guru can be seen both as an editorial amuse bouche and a set of guidelines for reporting data in the International Journal of Behavioral Medicine. If you have ideas for a column, please email the Statistical Editor, Suzanne Segerstrom at segerstrom@uky.edu.

Keywords: Generalizability; Reliability; Statistical guidelines

Year: 2019 PMID： 31290077 DOI： 10.1007/s12529-019-09803-5

Source DB: PubMed Journal: Int J Behav Med ISSN： 1070-5503

Keyword Cloud
References

8 in total

1. Private self-consciousness and the five-factor model of personality: distinguishing rumination from reflection.

Authors: P D Trapnell; J D Campbell
Journal: J Pers Soc Psychol Date: 1999-02

2. A multidimensional structure for repetitive thought: what's on your mind, and how, and how much?

Authors: Suzanne C Segerstrom; Annette L Stanton; Lynn E Alden; Brenna E Shortridge
Journal: J Pers Soc Psychol Date: 2003-11

3. Investigating Reliabilities of Intraindividual Variability Indicators.

Authors: Lijuan Peggy Wang; Kevin J Grimm
Journal: Multivariate Behav Res Date: 2012-09 Impact factor: 5.923

4. A procedure for evaluating sensitivity to within-person change: can mood measures in diary studies detect change reliably?

Authors: James A Cranford; Patrick E Shrout; Masumi Iida; Eshkol Rafaeli; Tiffany Yip; Niall Bolger
Journal: Pers Soc Psychol Bull Date: 2006-07

Statistical Guideline #2: Report Appropriate Reliability for your Sample, Measure, and Design.

1. Private self-consciousness and the five-factor model of personality: distinguishing rumination from reflection.

2. A multidimensional structure for repetitive thought: what's on your mind, and how, and how much?

3. Investigating Reliabilities of Intraindividual Variability Indicators.

4. A procedure for evaluating sensitivity to within-person change: can mood measures in diary studies detect change reliably?

5. Reliability estimation in a multilevel confirmatory factor analysis framework.

6. From alpha to omega: a practical solution to the pervasive problem of internal consistency estimation.

7. Variability and reliability of diurnal cortisol in younger and older adults: implications for design decisions.

8. On the Use, the Misuse, and the Very Limited Usefulness of Cronbach's Alpha.