Literature DB >> 12003508

Statistical power in stuttering research: a tutorial.

Mark Jones1, Val Gebski, Mark Onslow, Ann Packman.   

Abstract

The capacity to make reliable inductive statements about populations is critical for the advancement of scientific knowledge. An important contribution to that advancement of knowledge is determining that effects are either present or not present in populations. Statistical power is an important methodological qualification for any research that presents statistical results, and particularly so for research that presents null results. In this paper we describe the statistical concept of power, outline parameters of research that influence it, and demonstrate how it is calculated. With reference to selected published research, attention is drawn to the problems associated with a body of underpowered research, one being that population effects may go undetected. One way to prevent this problem is to calculate power a priori in planning research and include confidence intervals when presenting the results of research. However, it is difficult, if not impossible in many cases, to obtain high participant numbers for communication disorders of low prevalence such as stuttering. With this in mind, the paper concludes with an attempt to open discussion about ways to redress the problems associated with statistical power.

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Year:  2002        PMID: 12003508     DOI: 10.1044/1092-4388(2002/019)

Source DB:  PubMed          Journal:  J Speech Lang Hear Res        ISSN: 1092-4388            Impact factor:   2.297


  5 in total

1.  Nonword repetition skills in young children who do and do not stutter.

Authors:  Julie D Anderson; Stacy A Wagovich; Nancy E Hall
Journal:  J Fluency Disord       Date:  2006-06-30       Impact factor: 2.538

2.  Users' guide to the surgical literature: how to assess power and sample size. Laparoscopic vs open appendectomy.

Authors:  Margherita Cadeddu; Forough Farrokhyar; Achilleas Thoma; Ted Haines; Anna Garnett; Charles H Goldsmith
Journal:  Can J Surg       Date:  2008-12       Impact factor: 2.089

3.  Phonotactic probability effects in children who stutter.

Authors:  Julie D Anderson; Courtney T Byrd
Journal:  J Speech Lang Hear Res       Date:  2008-08       Impact factor: 2.297

4.  Why perform a priori sample size calculation?

Authors:  Forough Farrokhyar; Deven Reddy; Rudolf W Poolman; Mohit Bhandari
Journal:  Can J Surg       Date:  2013-06       Impact factor: 2.089

5.  Altered Modulation of Silent Period in Tongue Motor Cortex of Persistent Developmental Stuttering in Relation to Stuttering Severity.

Authors:  Pierpaolo Busan; Giovanni Del Ben; Simona Bernardini; Giulia Natarelli; Marco Bencich; Fabrizio Monti; Paolo Manganotti; Piero Paolo Battaglini
Journal:  PLoS One       Date:  2016-10-06       Impact factor: 3.240

  5 in total

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