ERIC Number: EJ739959
Record Type: Journal
Publication Date: 2006
Pages: 23
Abstractor: Author
ISBN: N/A
ISSN: ISSN-0027-3171
EISSN: N/A
Cross-Sectional Analysis of Time-Dependent Data: Mean-Induced Association in Age-Heterogeneous Samples and an Alternative Method Based on Sequential Narrow Age-Cohort Samples
Hofer, Scott M.; Flaherty, Brian P.; Hoffman, Lesa
Multivariate Behavioral Research, v41 n2 p165-187 2006
The effect of time-related mean differences on estimates of association in cross-sectional studies has not been widely recognized in developmental and aging research. Cross-sectional studies of samples varying in age have found moderate to high levels of shared age-related variance among diverse age-related measures. These findings may be misleading because high levels of association between time-dependent processes can result simply from average population age differences and not necessarily from associations between individual "rates of aging." This is demonstrated both analytically and in a simulation involving cross-sectional sampling of individual trajectories. An alternative cross-sectional narrow age-cohort design is shown to provide a useful alternative for evaluating the interdependence of time-related processes.
Descriptors: Time Perspective, Association (Psychology), Sampling, Case Studies, Age Differences, Aging (Individuals), Measures (Individuals), Simulation, Alternative Assessment, Cohort Analysis, Evaluation Methods
Lawrence Erlbaum Associates, Inc. 10 Industrial Avenue, Mahwah, NJ 07430. Tel: 800-926-6579; Tel: 201-258-2200; Fax: 201-236-0072; e-mail: journals@erlbaum.com; Web site: https://www.erlbaum.com.
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A