1/18/2024 0 Comments Cross tabular data(online publication accessible at: )įleiss JL. Categorical data analysis: NCSSM Statistics Leadership Institute, USA 1999. Your chi-square test is statistically significant: Now what? Practical Assessment, Research & Evaluation. The interpretation of interaction in contingency tables. On the interpretation of X 2 from contingency tables, and the calculation of P. Berlin Heidelberg: Springer 2011.įisher RA. Thousand Oaks: Sage 2007.Īgresti A, Kateri M. Statistical analysis quick reference guidebook: with SPSS examples. New York: Butterworth-Heinemann 2014.Įlliott AC, Woodward WA. Statistical methods in laboratory medicine. In this chapter, we explain the concept of hypothesis testing and introduce the most common statistical tests used in hypothesis testing of categorical data. The summary data presented in cross-tabulated form then can be used for many statistical tests most of which follow a distribution called chi-squared distribution. If the variables are categorical (i.e., they can only assume finite discrete values), a common approach to hypothesis testing is to employ cross tabulation.Ĭross tabulation is the summarization of categorical data into a table with each cell in the table containing the frequency (either raw or proportional) of the observations that fit the categories represented by that cell. In statistics, the process of testing the association between events is called hypothesis testing. For example, in pathology we commonly face the question of association of a test result with a disease status. Often, we have questions about associations of events or variables with each other or their correlation with each other.
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