The statistical methods used in quantitative research can be described as either parametric or nonparametric. These terms are often misunderstood and thought to be describing the data. They are actually used to describe the assumptions underlying certain statistical methods....
What is the purpose of chi-square testing? Is it to determine the numerical value of the relationship between two nominal variables, to test the variation of a sample, or to test the hypothesis using non-parametric testing? What is used to test the independence between 2 or more cate...
aWhile it is generally agreed that parametric procedures are a little more powerful than nonparametric procedures when the assumptions of the parametric procedures are met, what about the case of data for which those assumptions are not met, for example, the typical Likert scale data? 当它一般同...
When to use a parametric test or a nonparametric test? What is the purpose of a chi-squared test? what question does the test answer? what information about data does it provide? What is the purpose of the chi-square test for independence? Give a practical exampl...
An extension of the Wilcoxon rank-sum test is developed to handle the situation in which a variable is measured for individuals in three or more (ordered) ... KJ Lui,WG Cumberland - 《Statistics in Medicine》 被引量: 1979发表: 2010年 A Nonparametric Trend Test for Seasonal Data With Seria...
Is the reason for choosing parametric tests solely based on the type of dependent variables ( ordinal or higher) and the size of the sample? Do all statistical tests (parametric and non-parametric) provide significant (or not) results about the population? In the Chi-square test, when compa...
MatchIt: Nonparametric Preprocessing for Parametric Causal Inference. J. Stat. Softw. 2011, 42, 1–28. [Google Scholar] [CrossRef] [Green Version] R Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. Available online: ...
For each of these comparisons, we compared means (medians) utilizing the independent two-sample t-test (or nonparametric Wilcoxon Rank-Sum test, as appropriate for non-normal distributions). We compared proportions utilizing Chi-square tests or the non-parametric Fisher’s exact tests. The ...
Univariate analysis of categorical variables and interval variables was performed using chi-square tests and t-tests, respectively. Multivariate analysis was performed using a Cox regression model to evaluate the potential association of those factors with OS, EFS, relapse, and NRM [17]. Variables ...
What is hypothesis testing? Explain the general process and the steps included in conducting a hypothesis test? What is the difference between parametric and nonparametric hypothesis testing? Fill in the blank with the best word or words. A hypothesis test in which the research hypothesis specifies...