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Factor Analysis

A particular type of model building in Quantitative Research where related variables are combined to create higher-order explanatory factors.


A principle in scientific research that states that any finding is not certain, no matter how solid the evidence so far, and could end up being proven wrong.

False Negative

Another name for a Power Error, where the statistical test is too stringent and so significant results cannot be identified. Is also called a Type II Error.

False Positive

Another name for a Confidence Error, where the statistical test is too lenient and so the results cannot be trusted. Is also called a Type I Error.


Another name for Results; sometimes the term Findings is used to describe Results from less controlled settings and field-oriented research.

Focus Group

A research strategy in Qualitative Research where six to eight Participants are asked a systematic number of questions to get at both individual and group understandings.