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Psychometric Properties of the PsychoSomatic Problems Scale: A Rasch Analysis on Adolescent Data. (2008). Hagquist, Curt.
In: Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement.
RePEc:spr:soinre:v:86:y:2008:i:3:p:511-523.

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  1. Associations between Sexual Harassment Victimization and Mental Health Outcomes – Does It Matter How We Measure Mental Health?. (2025). Gdin, Katja Gillander ; Dahlqvist, Helne ; Svensson, SA.
    In: Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement.
    RePEc:spr:soinre:v:177:y:2025:i:2:d:10.1007_s11205-025-03529-6.

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  2. School Contextual Features of Social Disorder and Mental Health Complaints—A Multilevel Analysis of Swedish Sixth-Grade Students. (2018). Plenty, Stephanie ; Lftman, Sara B ; Gustafsson, Per A ; Berlin, Marie ; Bergstrom, Malin ; Modin, Bitte ; Hjern, Anders.
    In: IJERPH.
    RePEc:gam:jijerp:v:15:y:2018:i:1:p:156-:d:127789.

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  3. Does the Strength of the Association Between Peer Victimization and Psychosomatic Health Problems Depend on Whether Bullying or Peer Aggression is Measured?. (2017). Hellstrom, Lisa ; Beckman, Linda ; Hagquist, Curt.
    In: Child Indicators Research.
    RePEc:spr:chinre:v:10:y:2017:i:2:d:10.1007_s12187-016-9390-2.

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Cocites

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  2. Treating ordinal data: a comparison between rating scale and structural equation models. (2015). Golia, Silvia ; Simonetto, Anna.
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  3. Heteroscedastic Latent Trait Models for Dichotomous Data. (2015). Molenaar, Dylan.
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  4. A Note on Weighted Likelihood and Jeffreys Modal Estimation of Proficiency Levels in Polytomous Item Response Models. (2015). Magis, David.
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  5. Assessing the impact of uniform and nonuniform differential item functioning items on Rasch measure: the polytomous case. (2015). Golia, Silvia.
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  6. The Meaning and Measurement of Productive Engagement in Later Life. (2014). Ludlow, Larry ; James, Jacquelyn ; Besen, Elyssa ; Johnson, Clair ; Matz-Costa, Christina ; Brown, Melissa.
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  7. The Psychometric Properties of the Early Development Instrument: A Rasch Analysis Based on Swedish Pilot Data. (2014). Hellstrom, Lisa ; Hagquist, Curt.
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  8. An Analysis of Item Response Theory and Rasch Models Based on the Most Probable Distribution Method. (2014). Noventa, Stefano ; Stefanutti, Luca ; Vidotto, Giulio.
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  9. Detecting gender item bias and differential manifest response behavior: A Rasch-based solution. (2014). Salzberger, Thomas ; Ewing, Michael T. ; Newton, Fiona J..
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  10. MultiLCIRT: An R package for multidimensional latent class item response models. (2014). Bartolucci, Francesco ; Bacci, Silvia ; Gnaldi, Michela.
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  11. Relevance and advantages of using the item response theory. (2013). Bortolotti, Silvana ; Tezza, Rafael ; Andrade, Dalton ; Bornia, Antonio ; Junior, Afonso Sousa .
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  23. Psychometric Properties of the PsychoSomatic Problems Scale: A Rasch Analysis on Adolescent Data. (2008). Hagquist, Curt.
    In: Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement.
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  34. A reference card for the relationships between IRT models for ordered polytomous items and some relevant properties. (1999). van der Ark, L. A..
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  38. Item information and discrimination functions for trinary pcm items. (1997). Akkermans, Wies ; Muraki, Eiji .
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  39. Tail-measurability in monotone latent variable models. (1997). Ellis, Jules ; Junker, Brian.
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  40. Stochastic ordering using the latent trait and the sum score in polytomous IRT models. (1997). Sijtsma, Klaas ; Molenaar, Ivo ; Junker, Brian ; Hemker, Bas.
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  41. The asymptotic posterior normality of the latent trait for polytomous IRT models. (1996). Chang, Hua-Hua.
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  42. Residualanalysis in the polytomous rasch model. (1995). Andersen, Erling.
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  43. Rasch models for item bundles. (1995). Adams, Raymond ; Wilson, Mark.
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  44. Models for measurement, precision, and the nondichotomization of graded responses. (1995). Andrich, David.
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  45. The unique correspondence of the item response function and item category response functions in polytomously scored item response models. (1994). Mazzeo, John ; Chang, Hua-Hua.
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  46. Loglinear multidimensional IRT models for polytomously scored items. (1994). Kelderman, Henk ; Rijkes, Carl.
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  47. Conditions for rasch-dichotomizability of the unidimensional polytomous rasch model. (1989). Jansen, Paul ; Roskam, Edward.
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  48. Rating scale analysis with latent class models. (1988). Rost, Jurgen.
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