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Citing a scholarly article in APA (American Psychological Association) style 7th edition involves two components: an in-text citation and a full citation in the reference list.

ChatGPT is an increasingly popular interface for answering mathematical and statistical questions. In this blog entry, you’ll learn how to use ChatGPT to conduct an independent samples t-test. 

Testing continuous variables for their normality of distribution is a common feature of many statistical procedures. In this blog entry, you’ll learn how to use​...  

You might already be aware of an independent samples t-test or a matched-pairs t-test as approaches to comparing the means of continuous variables. In this post, we’ll show you how to...

You might already be aware of an independent samples t-test or a matched-pairs t-test as approaches to comparing the means of continuous variables. In this post, we’ll show you how to...

Because of the special properties of a Poisson distribution, a special formula is applied to calculate Poisson confidence interval. In this blog, you’ll learn how to calculate a Poisson confidence interval in Stata based on...

An a priori power analysis helps you identify a target sample size. In this blog entry, you’ll learn how to use G*Power to conduct an a priori power analysis for an independent samples t-test.

A binomial probability test is what you use in order to determine whether an observed proportion from a binomial experiment is equal to, less than, or greater than some hypothesized proportion. In this blog, you’ll learn how to...

Calculating a 95% confidence interval (CI) is a necessary part of many statistical procedures that are based on proportions. In this blog, we’ll show you how to use Stata to generate Wald CIs for proportions.

A meta-analysis is conducted when, given the existence of previous studies that report on some effect, we want to create an estimate of this effect. In this blog, we’ll show you how to conduct a meta-analysis in Stata.

The Cox proportional hazards model can be understood simply in terms of calculating the risk of an adverse event (hazard) as a function of some set of predictors. For example, death might be the hazard, and the use of a...

One of the questions that arises when conducting regression is whether to attempt to reduce models so that they include fewer predictors. In this blog, you’ll learn how the likelihood ratio test in R can help you...

Learning how to create factor variables is indispensable for carrying out many statistical tests. In this blog, you’ll learn how to use R to create factor variables, change the names of factors, and use factors to conduct an ANOVA.

New R / R Studio users sometimes wonder what happens to graphs that are created in a single session. In this blog, we’ll show you the plots box in R Studio.

Means plots can be good alternatives to 95% confidence interval (CI) plots in contexts in which the graphical presentation of your findings needn’t possess statistical sophistication. In this blog, we’ll show you how to generate means plots in Stata.

The distributions of continuous variables can be depicted in numerous ways, including through the use of histograms and box plots. The advantage of a violin plot is of combining a histogram and...

A dot plot can be a simpler alternative to a 95% confidence interval (CI) plot. In this blog, we’ll show you how to create a dot plot and integrate it with a one-sample t test in R.

A one-sample t test is applied when you are measuring values of a single variable that you are comparing to some test mean. In this blog entry, we’ll show you how to conduct a one-sample t test in R. 

Changing variable names can be an unavoidable component of preparing data for analysis. In this blog entry, we’ll show you how to change variable names in R.

Logistic regression is conducted with an outcome or dependent variable that can have only two values, typically 0 or 1. This type of statistical procedure is often utilized in academic essays, research papers, and...