20.500.12556/RUL-165614 Should we constrain the thresholds in factor analysis of rating scale responses? In factor analysis of ordinal variables, category thresholds determine the values of a hypothetical latent response at which a transition to a higher response option occurs. In general, category thresholds are estimated as free parameters. In the Rasch measurement theory framework, the rating-scale model has been proposed that prescribes equal sets of distances between category thresholds for all items. As a factor analytic parallel, I propose a model with a constrained threshold structure (FACTS). The application of the model is illustrated with a real data example. A simulation study showed that the thresholds are estimated more accurately with the FACTS model than with the standard unconstrained model for different sample sizes, test lengths, and number of response categories. In addition, the likelihood ratio test generally showed good power in compar-ing the two models. Because the FACTS model performs well and provides a meaningful interpretation of category thresholds, it may be used routinely in factor analysis of categorical item responses. rating scales threshold categorical data factor analysis simulation ocenjevalne lestvice prag kategorialni podatki faktorska analiza simulacija true false true Angleški jezik Slovenski jezik Članek v reviji 2024-12-10 08:36:28 2024-12-10 08:36:36 2024-12-11 03:56:08 0000-00-00 00:00:00 2024 0 0 Str. 159-170 no. 2 Vol. 31 Jun. 2024 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 2024-12-05 159.9.072 1972-6325 10.4473/TPM31.2.2 201807363 Socan_Should_we_constrain_the_thresholds_in_factor_analysis_of_rating_scale_responses.pdf Socan_Should_we_constrain_the_thresholds_in_factor_analysis_of_rating_scale_responses.pdf 1 A7B07DB81D44D287228BBF2029E46607 fff40a6039f13c9fb3763f843139f3b06cd5729f482527c97e61dd8eb88b5092 68e22d17-b6ca-11ef-b232-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=196815 https://osf.io/fe6mu/?view_only=c74c4016256847788d29a6121908852d Dodatno gradivo za model FACTS 0 017eeefa-b6c9-11ef-b232-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=196813 https://www.tpmap.org/indice-2024-vol-31-no-2-june/ 0 f2a5709b-b6c9-11ef-b232-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=196814 Filozofska fakulteta 0 0 0