İSTATİSTİKSEL GÜÇ ANALİZİ VE HEMŞİRELİK ARAŞTIRMALARINDA KULLANIMI: TEMEL BİLGİLER

ÖZET En yalın tanımı ile istatistiksel güç, analizlerde anlamlı bir fark saptanması durumunda bu farkın gerçek olabilme ihtimalidir. İstatistiksel güç, örneklem sayısından etkilendiği için araştırmacılar örneklem sayısını güç analizi ile hesaplayabilmektedirler. Birçok akademik derginin çalışmanın gücünü istemesi, etik komitelerin örneklem sayısı hakkında açıklama istemesi ve araştırmacıların daha kesin bulgular sunmak istemesi gibi faktörler güç analizinin daha fazla dikkate alınmasını gerektirmektedir. Bir çalışmanın gücünü etkileyen birçok faktör olmasına rağmen Tip I hata, etki büyüklüğü ve örneklem büyüklüğü bunlardan en önemlileridir. İstatistiksel güç hesabı önemli olmasına rağmen, günümüzde hemşirelik araştırmalarında güç analizi yaparak örneklem sayısını belirlemenin yaygın olduğunu söylemek güçtür. Bu makale güç analizi hakkında giriş bilgisi sağlamaktadır. Makalede, güç analizi ile ilgili bazı istatistiksel terimlerin aktarılmasından sonra, temel bilgilerin, güç analizi çeşitlerinin ve güç analizinin örneklem hesabında nasıl kullanılacağına yönelik bilgiler verilmiştir. Son olarak da bazı hemşirelik çalışmalarından örnekler sunulmuştur.Anahtar Kelimeler: Güç analizi; hemşirelik; araştırma; istatistik. ABSTRACTStatistical Power Analysis and It’s Use in Nursing Studies: Basic Information With its simplest definition, the statistical power is the possibility for a significant difference between analysis. Since the statistical power is affected by the number of samples, researchers may calculate the number of samples with the power analysis. Factors such as the requirement of many academic journals for the study's power, as well as the requirement of ethics committees for an explanation about the number of samples and the requirement of researchers to represent more precise findings enable the power analysis must be taken into consideration more. Even though there are many factors affecting the power of a study, α, effect size and sample size are the most important ones. Even though the calculation of the statistical power is important, it is difficult to say that today’s nursing researches commonly determine the number of samples by using power analysis. This study is fairly an introduction knowledge about the power analysis. The article not only conveys some statistical terms regarding the power analysis, but also includes information about how to use the basic information, power analysis types and the power analysis in the sample calculation. Finally, it presents examples from some nursing studies. Keywords: Power analysis; nursing; research; statistic.

Statistical Power Analysis and It’s Use in Nursing Studies: Basic Information With its simplest definition, the statistical power is the possibility for a significant difference between analysis. Since the statistical power is affected by the number of samples, researchers may calculate the number of samples with the power analysis. Factors such as the requirement of many academic journals for the study's power, as well as the requirement of ethics committees for an explanation about the number of samples and the requirement of researchers to represent more precise findings enable the power analysis must be taken into consideration more. Even though there are many factors affecting the power of a study, α,effect size and sample size are the most important ones. Even though the calculation of the statistical power is important, it is difficult to say that today’s nursing researches commonly determine the number of samples by using power analysis. This study is fairly an introduction knowledge about the power analysis. The article not only conveys some statistical terms regarding the power analysis, but also includes information about how to use the basic information, power analysis types and the power analysis in the sample calculation. Finally, it presents examples from some nursing studies

Keywords:

Power analysis; nursing; research; statistic,

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