MHA (Multiple Hierarchical Analysis)
An Algorithm for Exploratory and Confirmatory Guttman Scale Analyses
Bibliographic Data
| ID | 20283442 |
|---|---|
| Authors | Richard Hofmann (0000-0002-5829-8546, Miami University, corresponding author), Richard J Hofmann (Miami University) |
| Year | 1982 |
| Volume | 42 |
| Issue | 1 |
| Pages | 205-207 |
| Publication date | 1982-03-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Educational and Psychological Measurement (JOURNAL) |
| Journal identifiers | ISSN: 0013-1644 • E-ISSN: 1552-3888 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/0013164482421022 |
| OpenAlex | W2166899578 |
| Language | EN |
| References cited | 4 |
MHA (multiple hierarchical analysis), a general Guttman Scaling Algorithm (MHA), is briefly discussed. The MHA algorithm is highly transportable with minimum limitations on number of variables and no limitations on the number of observations. Both confirmatory and exploratory analyses can be performed with the algorithm
Algorithm · Confirmatory factor analysis · Data science · Exploratory analysis · Guttman scale · Scale (ratio) · Statistics · Structural equation modeling · Advanced Statistical Methods and Models · Computer Science · Mathematics
| Highly cited | No |
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