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lazarsfeld_data

Respondent-soldiers on four dichotomous items


Description

Data set used in some of OpenMx's examples.

Usage

data("lazarsfeld")

Format

A data frame with 1000 observations on four dichotomous items.

armyrun

In general how do you feel the Army is run?

favatt

Do you think when you are discharged you will [have] a favorable attitude toward the Army?

squaredeal

In general do you feel you yourself have gotten a square deal from the Army?

welfare

Do you feel that the Army is trying its best to look out for the welfare of enlisted men?

frequency

Frequency of response pattern.

Details

A straightforward descriptive analysis of these data shows that negative responses are more numerous except on item 1; and that there is a positive association between each pair of items. A soldier who responds positively to any one item is more likely to respond positively to a second item. Lazarsfeld's analysis is based on the assumption that each soldier can be thought of as belong to one of two latent classes. The probability of positive response to an item is different in one group than in the other. Most importantly, he is willing to assume that for an individual respondent the responses to items are statistically independent.

Source

Lazarsfeld, Paul F. (1950b) "Some Latent Structures", Chapter 11 in Stouffer (1950).

References

The OpenMx User's guide can be found at http://openmx.ssri.psu.edu/documentation.

See Also

http://www.people.vcu.edu/~nhenry/LSA50.htm

Examples

data(lazarsfeld)

OpenMx

Extended Structural Equation Modelling

v2.19.5
Apache License (== 2.0)
Authors
Steven M. Boker [aut], Michael C. Neale [aut], Hermine H. Maes [aut], Michael J. Wilde [ctb], Michael Spiegel [aut], Timothy R. Brick [aut], Ryne Estabrook [aut], Timothy C. Bates [aut], Paras Mehta [ctb], Timo von Oertzen [ctb], Ross J. Gore [aut], Michael D. Hunter [aut], Daniel C. Hackett [ctb], Julian Karch [ctb], Andreas M. Brandmaier [ctb], Joshua N. Pritikin [aut, cre], Mahsa Zahery [aut], Robert M. Kirkpatrick [aut], Yang Wang [ctb], Ben Goodrich [ctb], Charles Driver [ctb], Massachusetts Institute of Technology [cph], S. G. Johnson [cph], Association for Computing Machinery [cph], Dieter Kraft [cph], Stefan Wilhelm [cph], Sarah Medland [cph], Carl F. Falk [cph], Matt Keller [cph], Manjunath B G [cph], The Regents of the University of California [cph], Lester Ingber [cph], Wong Shao Voon [cph], Juan Palacios [cph], Jiang Yang [cph], Gael Guennebaud [cph], Jitse Niesen [cph]
Initial release
2021-03-26

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