Use of factor analysis techniques in the study of giftedness -- Q-technique factor analysis as a vehicle to intensively study especially interesting people -- P values versus confidence intervals as warrants for conclusions that results will replicate -- Statistical significance, result worthiness and evidence: what lessons are there for giftedness education in other disciplines? -- Reliability generalization methods in the context of giftedness research -- Mixed data collection and analysis for conducting research on giftedness and beyond -- Promise and pitfalls of structural equation modeling in gifted research -- Hierarchical linear modeling applications in the context of giftedness research -- Contemporary methods for handling missing data in observational studies of giftedness -- Two perspectives on statistics in gifted education -- Moving the field of gifted studies toward increasingly sophisticated approaches to research: an homage to Michael Pyryt -- Research methods for gifted studies: comments and future directions

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