Use of latent class regression models within a random intercept to remove overall response level effects in ratings data

J. Magidson, J.K. Vermunt

Research output: Chapter in Book/Report/Conference proceedingChapterScientific

Original languageEnglish
Title of host publicationProceedings in computational statistics
EditorsA. Rizzi, M. Vechi
Place of PublicationHeidelberg
PublisherSpringer
Pages351-360
Number of pages537
ISBN (Print)103790817082
Publication statusPublished - 2006

Cite this

Magidson, J., & Vermunt, J. K. (2006). Use of latent class regression models within a random intercept to remove overall response level effects in ratings data. In A. Rizzi, & M. Vechi (Eds.), Proceedings in computational statistics (pp. 351-360). Heidelberg: Springer.
Magidson, J. ; Vermunt, J.K. / Use of latent class regression models within a random intercept to remove overall response level effects in ratings data. Proceedings in computational statistics. editor / A. Rizzi ; M. Vechi. Heidelberg : Springer, 2006. pp. 351-360
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Magidson, J & Vermunt, JK 2006, Use of latent class regression models within a random intercept to remove overall response level effects in ratings data. in A Rizzi & M Vechi (eds), Proceedings in computational statistics. Springer, Heidelberg, pp. 351-360.

Use of latent class regression models within a random intercept to remove overall response level effects in ratings data. / Magidson, J.; Vermunt, J.K.

Proceedings in computational statistics. ed. / A. Rizzi; M. Vechi. Heidelberg : Springer, 2006. p. 351-360.

Research output: Chapter in Book/Report/Conference proceedingChapterScientific

TY - CHAP

T1 - Use of latent class regression models within a random intercept to remove overall response level effects in ratings data

AU - Magidson, J.

AU - Vermunt, J.K.

N1 - Pagination: 537

PY - 2006

Y1 - 2006

M3 - Chapter

SN - 103790817082

SP - 351

EP - 360

BT - Proceedings in computational statistics

A2 - Rizzi, A.

A2 - Vechi, M.

PB - Springer

CY - Heidelberg

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Magidson J, Vermunt JK. Use of latent class regression models within a random intercept to remove overall response level effects in ratings data. In Rizzi A, Vechi M, editors, Proceedings in computational statistics. Heidelberg: Springer. 2006. p. 351-360