TY - JOUR
T1 - Separating age, cohort, and time of measurement
T2 - Analysis of variance or multiple regression
AU - George, L. K.
AU - Siegler, I. C.
AU - Okun, M. A.
N1 - Funding Information:
‘This research was supported in part by NIH Grant AGM)029 (HD-00164) and a grant from from the Administration on Aging. We would Like to thank Dn. John R. Nesxlroade and Wayne E. Watson for their helpful comments on earlier drafts of this paper. Please address all correspondence to Linda K. George. Box 3003. Duke University Medical Center, Durham, NC 27710. *From the Department of Psychiatry and the Center for the Study of Aging and Human Development. Duke University Medical School, Durham, NC 27710, U.S.A. ’From the Department of Higher & Adult Education. Arizona State University. Tempe, AZ 85281, U.S.A.
PY - 1981
Y1 - 1981
N2 - This paper empirically compares the relative advantages of analysis of variance (ANOVA) and multiple regression (MR) approaches to the separation of age, cohort, and time of measurement effects in sequential research designs. The companion utilizes four synthetic data sets, designed to have specific characteristics. The results support Adam’s recent claim that standard ANOVA procedures, as described by Schaie, do not permit the development of accurate decision rules for age-pcriod-cohort analyis. A modified dummy variable regression procedure developed by Mason, et al. is demonstrated to permit accurate attribution of variance among age, cohort, and time of measurement effects in the developmental model.
AB - This paper empirically compares the relative advantages of analysis of variance (ANOVA) and multiple regression (MR) approaches to the separation of age, cohort, and time of measurement effects in sequential research designs. The companion utilizes four synthetic data sets, designed to have specific characteristics. The results support Adam’s recent claim that standard ANOVA procedures, as described by Schaie, do not permit the development of accurate decision rules for age-pcriod-cohort analyis. A modified dummy variable regression procedure developed by Mason, et al. is demonstrated to permit accurate attribution of variance among age, cohort, and time of measurement effects in the developmental model.
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U2 - 10.1080/03610738108259812
DO - 10.1080/03610738108259812
M3 - Article
C2 - 7318857
AN - SCOPUS:0019824078
SN - 0361-073X
VL - 7
SP - 297
EP - 314
JO - Experimental Aging Research
JF - Experimental Aging Research
IS - 3
ER -