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Factor analysis is a statistical tool for uncovering relationships among variables by grouping them based on underlying dimensions.
Factor analysis is a statistical technique that groups similar things together based on how highly they are associated through underlying dimensions. It is used to aggregate observed measures into unobserved variables called factors, aiding in the assessment of validity in research.
Factor analysis is crucial in discovering and summarizing consistent patterns in large data sets, making it a valuable tool in social science research for uncovering relationships among multiple variables.
Factor analysis helps in data reduction, where numerous observed measures are condensed into a smaller set of latent variables, shedding light on the underlying correlation patterns among the variables.
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