NotesFAQContact Us
Collection
Advanced
Search Tips
Descriptor
Mathematical Models2
Research Methodology2
Cross Sectional Studies1
Data Analysis1
Generalizability Theory1
Goodness of Fit1
Least Squares Statistics1
Matrices1
Research Design1
Statistical Analysis1
Transformations (Mathematics)1
More ▼
Source
Multivariate Behavioral…2
Author
McDonald, Roderick P.2
Velicer, Wayne F.2
Publication Type
Journal Articles2
Reports - Evaluative1
Reports - Research1
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing all 2 results Save | Export
Time Series Analysis Without Model Identification.
Peer reviewed Peer reviewed
Velicer, Wayne F.; McDonald, Roderick P. – Multivariate Behavioral Research, 1984
A new approach to time series analysis was developed. It employs a generalized transformation of the observed data to meet the assumptions of the general linear model, thus eliminating the need to identify a specific model. This approach permits alternative computational procedures, based on a generalized least squares algorithm. (Author/BW)
Descriptors: Goodness of Fit, Least Squares Statistics, Mathematical Models, Research Design
Cross-Sectional Time Series Designs: A General Transformation Approach.
Peer reviewed Peer reviewed
Velicer, Wayne F.; McDonald, Roderick P. – Multivariate Behavioral Research, 1991
The general transformation approach to time series analysis is extended to the analysis of multiple unit data by the development of a patterned transformation matrix. The procedure includes alternatives for special cases and requires only minor revisions in existing computer software. (SLD)
Descriptors: Cross Sectional Studies, Data Analysis, Generalizability Theory, Mathematical Models