This paper presents power analysis tools for multiple regression. The first takes input of correlations between variables and sample size and outputs power for multiple predictors. The second addresses power to detect significant effects for all of the predictors in the model. Both employ user-friendly SPSS Custom Dialogs.

Aim: To evaluate OSCE’s educational value and assessed learning during the OSCE. Material & methods: Four-station OSCE, including different case scenarios, was administered to seventy one postgraduate residents between January 2008 to October 2010. Faculty assessed residents' general communication, assessment, management, and global skills using Likert scale. Residents completed a pre-OSCE surv...

Korelasyon türü ilişkisel tarama çalışmalarında veya korelasyonel araştırmalarda en az iki değişken arasında bir ilişki olup olmadığı sorusu cevaplanmaya çalışılır. Bu soruların cevaplanmasında korelasyon analizleri kullanılır. Türkiye’de, arasındaki ilişkiyi ya da daha fazla bağımsız grup için karşılaştırmak amacıyla yapılan eğitim bilimleri çalışmaları incelendiğinde, gruplar ayrı hesaplanan ...

شاخص سطح برگ استخراج‌شده (LAI) از تصاویر سنجش دور پارامتر مهمی، به‌منظور مدل‌سازی مکانی تولید پوشش گیاهی، محسوب می‌شود. معمولاً شاخص‌های گیاهی که با بازتاب طول موج‌های قرمز و مادون نزدیک محاسبه می‌شوند، در برآورد LAI استفاده روش‌های آماری، به‌کار می‌روند اما بسیاری این شاخص‌ها مقادیر متفاوت به اشباع می‌رسند. برای رفع محدودیت، محدودة لبة شده است؛ بنابراین، باید قابلیت داده‌های دور، ذرت علوفه‌ای، ...

The aim of this paper is to identify the adopters and non-adopters of Broadband within the silver surfer group. This was achieved using the British Household Panel Survey, a large scale survey used to collect data from UK households. The data was analysed using statistical tools, such as, SPSS v. 15. The conclusions drawn are that Broadband will be adopted in nuclear households (no presence of ...

-The author aims at studying the influence of consumer-generated comments of the shopping sites on consumer trust. The research divides consumer-generated comments into four types: service comments, product and price comments, self-display comments and after-action comments. With the survey result of 166 college students, the author finds that online shoppers’ trust are influenced by consumer-g...