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... > social science subjects > psychology > applied psychology > industrial and organizational psychology > foundations: measurement theory and statistics > statistical power
... > social science subjects > health and social care > medical science > medicine > clinical medicine > medical decision making > biostatistics and clinical epidemiology > multiple analysis of variance > statistical power
... > other subjects > natural sciences > life sciences > medical science > medicine > clinical medicine > medical decision making > biostatistics and clinical epidemiology > multiple analysis of variance > statistical power
... > contexts > population characteristics > health > public health > epidemiology > statistics and research methods > multiple analysis of variance > statistical power
... > social science subjects > education > educational systems > curriculum > curriculum studies > inquiry and research > quantitative research > quantitative data analysis > multiple analysis of variance > statistical power
... > social science subjects > social research > research methods and evaluation > quantitative research > quantitative data analysis > multiple analysis of variance > statistical power

Preferred term

statistical power  

Definition

  • Statistical power (SP) refers to the probability of rejecting a null hypothesis (a hypothesis of no difference) when it is actually false. When an organizational researcher retains (fails to reject) a false null hypothesis, he or she is likely to conclude, for example, that the organizational intervention did not positively affect productivity or that a selection test does not validly predict future job performance. [Source: Encyclopedia of Industrial and Organizational Psychology; Statistical Power]

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https://concepts.sagepub.com/social-science/concept/statistical_power

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