Test of Normality and Reliability of Data in R

This chapter introducesNormality theReliability readersData to the main tests of data normalityData normality and reliability in scientific researchScientific research using R. The most commonly used types and frequently applied methods for research purposes and investigation are explained and illustrated in detail in this chapter. The data normalityData normality tests are performed to assess if a data sample is well modeled by a normal distribution, while the test for reliability of the datasets or research instruments is done to determine the extent (consistency of measures) to which the scales or variablesVariables (items) in the available data is capable of producing a reliable/coherent result. The Kolmogorov–Smirnov (K-S)Kolmogorov-Smirnov (K-S) and Shapiro–Wilk (S-W)Shapiro-Wilk (S-W) tests and Cronbach’s alphaCronbach’s Alpha test are used to demonstrate theseData reliability tests in R in this chapter, respectively.