within-subjects analysis of variance

a variation of the standard analysis of variance that is applied to data from a study in which the independent variable has multiple levels and each participant experiences each treatment level or is otherwise measured more than once (see within-subjects design). Because such designs involve recording multiple responses from the same person, it is necessary to examine how each individual varies in his or her responses, so as to separate such unique fluctuation from variation that is due to the influence of the treatment under investigation. For example, a researcher studying how amount of daily walking (e.g., none, 30 minutes, 60 minutes, 90 minutes) affects quality of sleep might have participants walk each length of time across consecutive weeks and then evaluate the results using a within-subjects analysis of variance. Also called repeated measures analysis of variance. Compare between-subjects analysis of variance.

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Psychology term of the day

May 8th 2024

consumer-driven health care

an approach to health care cost containment that lets consumers decide how to spend dollars earmarked for health and mental health care. Instead of providing insurance with a low deductible for employees, an employer might fund a high-deductible insurance policy and a tax-advantaged account such as a health savings account, a health reimbursement account, or another medical payment product that consumers could use to help meet the high deductible. Because consumers can shop for and choose the doctors that they want to see and the procedures that they want done, this type of care is posited to bring competition to the health services market and more control to consumers, although the benefits and effectiveness of this arrangement are being debated.