So sánh phương pháp

	Phân tích sức mạnh thống kê cho Tương quan Pearson	Phân tích lực (Power Analysis) cho ANOVA
Lĩnh vực	Thống kê	Thống kê
Họ	Hypothesis test	Hypothesis test
Năm ra đời	1988	1988
Người khởi xướng	Jacob Cohen	Jacob Cohen
Loại	Sample size / power determination	Sample size determination
Công trình gốc	Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805802832	Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805802832
Tên gọi khác	Korelasyon Güç Analizi, power analysis for r, sample size for correlation	ANOVA power analysis, F-test power analysis, sample size for ANOVA, Güç Analizi — ANOVA
Liên quan	4	4
Tóm tắt	Correlation power analysis is a pre-study calculation that determines how many participants are needed — or how much statistical power an existing sample provides — for a Pearson correlation test. Formalised by Jacob Cohen in his landmark 1988 text, it uses the expected correlation coefficient r directly as the effect size, so researchers can plan studies that are neither underpowered nor wastefully large.	Power analysis for ANOVA is a prospective statistical technique that determines the minimum sample size needed to detect a specified group mean difference with a chosen probability. Formalized by Jacob Cohen in his 1988 monograph, it translates a researcher's effect size expectation — expressed as Cohen's f — along with the desired Type I error rate (alpha) and statistical power (1 − beta) into a concrete per-group sample size recommendation for one-way or factorial ANOVA designs.