## Factor Analysis examples |

**calis1.sas**- Testing Equivalence of measures: Lord's Vocabulary Data
Four vocabulary tests are used to test various hypotheses of
equivalence

. **calis1a.sas**- Lord's data: H4 unconstrained two factor model A single model is shown represented by both LINEQS statements and by a path model with RAM statements.
**calis1b.sas**- Testing Equivalence of measures: Lord s Vocabulary Data Like CALIS1, but also illustrates SAS techniques to extract and combine the goodness of fit statistics from four different CALIS models.
**calis13.sas**- Ability and Aspiration, LISREL VI, p. III.5 A first-order confirmatory factor model using the data of Calsyn & Kenny (1977). The model specification is shown using both MATRIX and LINEQS statements.
**calis16.sas**- Nine Psychological Variables, LISREL VI, p. III.106 Several different first-order confirmatory factor analysis models are fit to the standard 9-variable subset of the Holzinger & Swineford data. The different models illustrate use of modification indices in model building.
**calis1pow.sas**- Power analysis: Lord's Vocabulary Data (using the CSMPOWER macro)
**calis32.sas**- Vocabulary Test Data, LORD (1957)
**calis33a.sas**- Speed Factor Data, LORD (1956) A multi-trait (3 kinds of tests) mulit-method (speeded vs. non-speeded) matrix is analyzed with a confirmatory model specifying both power and speed factors.
**calis36.sas**- Six Different Kinds of Abilties, GUTTMAN (1954) Two circumplex models are fit to data on 6 ability variables.
**calis65.sas**- CALIS65: Special LISREL Application
**faccorr.sas**- Demonstration of Partial Linear Independence principle.
The factors
account for

the correlations among variables in the sense that there remain no correlations when the factors are partialled out. **factor.sas**- Nine Psychological Variables: Harman, page 244
**pca1.sas**- Mean temperature in January and July for selected cities. Illustrates the ideas of Principal Components analysis for a simple 2-variable problem.
**pca2.sas**- Principal Components analysis of Crime Rates in the U.S.
**phys8.sas**- Eight physical variables
Various exploratory factor solutions are found for 8 physical body measurements,
assumed to measure
lankiness

andstockiness

. The example also illustrates SAS techniques to input data in the form of a correlation matrix. **phys8a.sas**- Eight physical variables: Rotation Methods.
**psych9.sas**- Holzinger & Swineford 9 Ability Variables.
**soceco.sas**- Socioeconomic data for 35 countries: PCA.
**spear5.sas**- Spearman's five variables: Harman, Pp 116,391 392