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AVE is a measure of the amount of variance captured by a construct in relation to the measurement error. It is used to assess discriminant validity based on the ...
Learn the concept and applications of degrees of freedom in statistics, such as linear models, structural equation models, and hypothesis testing. Degrees of freedom is the number of values or dimensions that are free to vary in a statistic or a vector.
Variance is a measure of how far a set of numbers is spread out from their average value. It is the expected value of the squared deviation from the mean of a random variable, and it has various properties and applications in probability and statistics.
Until the development of tau-equivalent reliability, split-half reliability using the Spearman-Brown formula was the only way to obtain inter-item reliability. [4] [5] After splitting the whole item into arbitrary halves, the correlation between the split-halves can be converted into reliability by applying the Spearman-Brown formula.
The Anderson–Darling test is a statistical test of whether a given sample of data is drawn from a given probability distribution. In its basic form, the test assumes that there are no parameters to be estimated in the distribution being tested, in which case the test and its set of critical values is distribution-free. However, the test is ...
Microsoft Excel is a software that allows users to organize, calculate, and analyze data using a grid of cells, functions, graphs, and macros. It is part of the Microsoft 365 suite and runs on Windows, macOS, Android, iOS, and iPadOS.
Learn about the different types of statistical data, such as categorical, quantitative, binary, ordinal, and multivariate, and how they affect the choice of distributions, operations, and regression analysis. See examples, tables, and references for each data type.
Data collection is the process of gathering and measuring information on targeted variables in an established system. Learn about the steps, tools, and challenges of data collection in various fields, such as physical and social sciences, humanities, and business.