Title:

Using power analysis to estimate appropriate sample size

Creator:

Tomczak, Maciej ; Tomczak, Ewa ; Kleka, Paweł ; Lew, Robert

Publication date:

2014

Place of publication:

Poznań

Format:

pp.195-206; 30 cm

Previous title:

click here to follow the link ; Studies in Physical Culture and Tourism

Is part of:

Trends in Sport Sciences 2014 Vol.21 No.4

Abstract:

The main aim of this paper is to provide some practical guidance to researchers on how statistical power analysis can be used to estimate sample size in empirical design. The paper describes the key assumptions underlying statistical power analysis and illustrates through several examples how to determine the appropriate sample size. The examples use hypotheses often tested in sport sciences and verified with popular statistical tests including the independent-samples t-test, one-way and two-way analysis of variance (ANOVA), correlation analysis, and regression analysis. Commonly used statistical packages allow researchers to determine appropriate sample size for hypothesis testing situations listed above

Subject and Keywords:

power analysis ; hypothesis testing ; sample size estimation ; sport science ; examples

Language:

eng

ISBN/ISSN:

2299-9590

Publisher:

Akademia Wychowania Fizycznego w Poznaniu

Rights Management:

Akademia Wychowania Fizycznego w Poznaniu ; Biblioteka Akademii Wychowania Fizycznego w Poznaniu

Object type:

artykuły

Rights:

wszystkie prawa zastrzeżone

Access rights:

dla wszystkich w zakresie dozwolonego użytku

License:

udostępnianie na podstawie umowy z właścicielem majątkowych praw autorskich

Rights holder:

Akademia Wychowania Fizycznego w Poznaniu

Digitisation:

Biblioteka Akademii Wychowania Fizycznego w Poznaniu

Location of original object:

Biblioteka Akademii Wychowania Fizycznego w Poznaniu

Digital object format:

application/pdf