What’s the appropriate test for my cross tabulation?

Let’s start by defining cross tabulation, more commonly called crosstab. A cross tabulation, also known as contingency table, is a two-dimensional table that reports the number of participants (i.e., observations) whose characteristics fall in each cell of the table. It is widely used in market research and also in scientific research. It represents the relationship between two categorical variables, which can be of a nominal or ordinal nature. In a nominal variable, categories can’t be ranked or ordered (e.g., gender) as opposed to the categories in an ordinal variable (e.g., number of siblings).

How do I include categorical variables in my regression model?

One common problem researchers face when running a regression analysis is how to include categorical predictors. Unlike using continuous variables, which you can simply add with no previous manipulation, including categorical variables requires extra work when performing the analysis and interpreting the results.

Struggling With Statistics?

Struggling with statistics? If you’re looking for basic info to consider in your publication, here are a few starting points:

APA Format 101

Students pursuing doctoral degrees or master’s degrees in nursing, education, business, health, psychology, and other social sciences are typically required to follow APA format. So …

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Data Collection Methodologies for Health Research Projects

Health research is commonly based on a priori knowledge about particular conditions or diseases, and the factors or measures that predict the presence of these conditions or diseases. When a researcher decides that he or she wants to investigate relationships of this nature, careful consideration about the variables the researcher will choose to investigate become of substantial importance, as do the methods that an individual chooses to use for collecting and analyzing that information. I wanted to provide some general guidelines for issues a researcher should consider when (1) collecting data and (2) developing an analytic plan.