User's Guide for the Multitrait Analysis Program (MAP)

Ron D. Hays, Toshi Hayashi, Sally Carson, John E. Ware

Published 1988

Multitrait scaling is a straightforward yet elegant methodology for scale analysis. The procedure involves examining item frequencies; item and scale descriptive statistics (e.g., mean, standard deviation, variance); scale internal consistency estimates; item-scale correlations (corrected for overlap); and correlations among scales. The Multitrait Analysis Program (MAP) provides the statistics needed for multitrait scaling analysis. To use MAP on a VAX computer, the user must supply two input files — a raw data file and an input specification file (map.in) containing a series of keywords. This user's guide specifies how to set up the MAP input file, provides an example using MAP on a VAX-780, and summarizes published examples of multitrait scaling.

Document Details

  • Copyright: RAND Corporation
  • Availability: Web Only
  • Year: 1988
  • Pages: 37
  • Document Number: N-2786-RC

Citation

Chicago Manual of Style

Hays, Ron D., Toshi Hayashi, Sally Carson, and John E. Ware, User's Guide for the Multitrait Analysis Program (MAP). Santa Monica, CA: RAND Corporation, 1988. https://www.rand.org/pubs/notes/N2786.html.
BibTeX RIS

This publication is part of the RAND note series. The note was a product of RAND from 1979 to 1993 that reported miscellaneous outputs of sponsored research for general distribution.

This research in the public interest was supported by RAND using discretionary funds made possible by the generosity of RAND's donors, the fees earned on client-funded research, or independent research and development (IR&D) funds provided by the Department of Defense.

This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited; linking directly to this product page is encouraged. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial purposes. For information on reprint and reuse permissions, please visit www.rand.org/pubs/permissions.

RAND is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.