Original language | English |
---|---|

Title of host publication | Proceedings in computational statistics |

Editors | A. Rizzi, M. Vechi |

Place of Publication | Heidelberg |

Publisher | Springer |

Pages | 351-360 |

Number of pages | 537 |

ISBN (Print) | 103790817082 |

Publication status | Published - 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.@inbook{3360e24f97de4dc69e848fc3bfe17b1a,

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

author = "J. Magidson and J.K. Vermunt",

note = "Pagination: 537",

year = "2006",

language = "English",

isbn = "103790817082",

pages = "351--360",

editor = "A. Rizzi and M. Vechi",

booktitle = "Proceedings in computational statistics",

publisher = "Springer",

}

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.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific

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

ER -

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