Report for: Test of association: which one is the most appropriate for my study?*

Title	Test of association: which one is the most appropriate for my study?*
Published in	Anais Brasileiros de Dermatologia, January 2015
DOI	10.1590/abd1806-4841.20154289
Pubmed ID	26375222
Authors	David Alejandro Gonzalez-Chica, João Luiz Bastos, Rodrigo Pereira Duquia, Renan Rangel Bonamigo, Jeovany Martínez-Mesa
Abstract	Hypothesis tests are statistical tools widely used for assessing whether or not there is an association between two or more variables. These tests provide a probability of the type 1 error (p-value), which is used to accept or reject the null study hypothesis. To provide a practical guide to help researchers carefully select the most appropriate procedure to answer the research question. We discuss the logic of hypothesis testing and present the prerequisites of each procedure based on practical examples.

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.

Country	Count	As %
United Kingdom	2	50%
Unknown	2	50%

Type	Count	As %
Members of the public	3	75%
Practitioners (doctors, other healthcare professionals)	1	25%

Mendeley readers

The data shown below were compiled from readership statistics for 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Country	Count	As %
Unknown	144	100%

Readers by professional status	Count	As %
Student > Master	23	16%
Student > Ph. D. Student	15	10%
Researcher	14	10%
Student > Bachelor	9	6%
Student > Postgraduate	7	5%
Other	28	19%
Unknown	48	33%

Readers by discipline	Count	As %
Nursing and Health Professions	12	8%
Medicine and Dentistry	12	8%
Social Sciences	9	6%
Biochemistry, Genetics and Molecular Biology	7	5%
Agricultural and Biological Sciences	7	5%
Other	38	26%
Unknown	59	41%

Test of association: which one is the most appropriate for my study?*