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statistical model

7 Practical Guidelines for Accurate Statistical Model Building

Model  Building–choosing predictors–is one of those skills in statistics that is difficult to teach.   It’s hard to lay out the steps, b...

p-value image

The “Big Five” Misinterpretations of Statistical Significance

NOTE TO READERS: The following has been excerpted from Principles and Practice of Structural Equation Modeling (Third Edition) by Rex B. Kline....


The significance of the t-distribution and the t-test

The fact that the normal distribution is one of the pivotal statistical distributions is virtually not subject to debate. Many statistical models...


One-way Analysis of Variance, ANOVA

Analysis of Variance (ANOVA) is a statistical method used to test differences between two or more means. ANOVA is used to test general, omnibus, ...

Statistical hypothesis testing

Statistical hypothesis testing

The term hypothesis testing is probably not new to you. The term significance testing is sometimes used. A statistical hypothesis is an assumptio...

Multiple imputation of missing data

Imputation methods for missing data in longitudinal studies

Having complete data that one sought to record infrequently happens, especially in a study setting where repeated measures from subjects are take...

Pearson correlation

Pearson’s correlation coefficient: Use & misuse

This article was originally posted at We have not made edits from the original post apart from this ane...

Statistics help

Statistics help

It is easy to load data in as spreadsheet or any statistical software with a friendly user interface. It has also become relatively easy to brows...

survival analysis

Survival analysis in R

Survival analysis is a technique that is widely used in research and industry as studies or problems involving waiting time to an event(s) become...


How to analyze sample survey data

Obtaining population attributes from a sample of the population under study is the basis of many study designs and the development statistical me...

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