Physiometrics in Salivary Bioscience.
Background: Accurate estimation in statistical models depends on sample size but also, critically, reliability of the measure. Physiometrics is the equivalent of psychometrics for measures such as sex hormones, catabolic hormones, and products of the immune system. Method: There are multiple ways to...
| Publicado en: | International Journal of Behavioral Medicine Vol. 27; no. 3; pp. 262 - 267 |
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| Autor principal: | |
| Formato: | tables/charts Journal Article |
| Publicado: |
Springer Nature
Jun2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=143437941&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 143437941 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10705503 7M2 jtl: International Journal of Behavioral Medicine issn: 10705503 maglogo: N pubinfo: dt: Jun2020 vid: 27 iid: 3 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 143437941 143437941 143437941 10.1007/s12529-020-09899-0 143437941 ppf: 262 ppct: 5 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Physiometrics in Salivary Bioscience. aug: au: Segerstrom, Suzanne C. affil: Department of Psychology, University of Kentucky, 125 Kastle Hall, 40506-0044, Lexington, KY, USA sug: subj: Psychometrics Saliva Biological Science Disciplines Models, Statistical Sample Size Reliability Study Design Stability Hydrocortisone Amylases Testosterone Cytokines ab: Background: Accurate estimation in statistical models depends on sample size but also, critically, reliability of the measure. Physiometrics is the equivalent of psychometrics for measures such as sex hormones, catabolic hormones, and products of the immune system. Method: There are multiple ways to measure physiometrics, from simple correlation to complex generalizability theory designs. Depending on the design, these estimates can provide information about equivalency (e.g., the correlation between two measurements taken close together in time) or stability (e.g., the correlation between two measurements taken farther apart in time). Results: The physiometrics of salivary measures including cortisol, α-amylase, testosterone, and cytokines range from highly stable, requiring only a single sample, to highly unstable, requiring multiple samples to achieve generalizability to longer periods of time. However, generalizability is relative to the study design, and only some designs call for stable and generalizable measures. Conclusion: Both dedicated physiometric studies and more reporting of physiometrics in psychoneuroendocrinology and psychoneuroimmunology will improve the quality of salivary bioscience study designs in the future. pubtype: Academic Journal doctype: tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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