![]() Firstly, each pair of items should have a bivariate normal distribution. Observations should be independent, and errors should be uncorrelated between items. In other words, the value of Cronbach’s alpha coefficient is between 0 and 1, with a higher number indicating better reliability.įinally, Cronbach’s alpha coefficient should be higher than 0.70 that scale has good internal validity and reliability. It is the average correlation between all values on a scale. In addition, the most used measure of reliability is Cronbach’s alpha coefficient. ![]() Reliability analysis is the degree to which the values that make up the scale measure the same attribute. In addition, Intraclass correlation coefficients can be used to compute inter-rater reliability estimates. That’s to say, the reliability analysis procedure calculates a number of commonly used measures of scale reliability and also provides information about the relationships between individual items in the scale. ![]() Reliability analysis allows you to study the properties of measurement scales and the items that compose the scales. This easy tutorial will show you how to run the Reliability Analysis test in SPSS, and how to interpret the result. ![]() Using Cronbach’s Alpha Statistic in Research ![]()
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