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Lale Khorramdel

Showing results (1-10 of 9) with videos related to

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Multivariate Behavioral Research|January 8, 2016
Measuring Response Styles Across the Big Five: A Multiscale Extension of an Approach Using Multinomial Processing TreesLale Khorramdel, Matthias von Davier
The British Journal of Mathematical and Statistical Psychology|August 7, 2019
Combining mixture distribution and multidimensional IRTree models for the measurement of extreme response stylesLale Khorramdel, Matthias von Davier, Artur Pokropek
Educational and Psychological Measurement|May 15, 2023
Scoring Graphical Responses in TIMSS 2019 Using Artificial Neural NetworksMatthias von Davier, Lillian Tyack, Lale Khorramdel
The British Journal of Mathematical and Statistical Psychology|November 14, 2019
Advances in modelling response styles and related phenomenaLale Khorramdel, Minjeong Jeon, Lihshing Leigh Wang
International Journal of Psychology : Journal International De Psychologie|May 10, 2014
The influence of item order on intentional response distortion in the assessment of high potentials: assessing pilot applicantsLale Khorramdel, Klaus D Kubinger, Alexander Uitz
Behavior Research Methods|August 13, 2025
Disentangling individual differences in cognitive response mechanisms for rating scale items: A flexible-mixture multidimensional IRTree approachÖmer Emre Can Alagöz, Thorsten Meiser, Lale Khorramdel
Applied Psychological Measurement|June 9, 2018
The Effects of Vignette Scoring on Reliability and Validity of Self-ReportsMatthias von Davier, Hyo-Jeong Shin, Lale Khorramdel, et al.
Psychometrika|February 16, 2022
Erratum to: A Response-Time-Based Latent Response Mixture Model for Identifying and Modeling Careless and Insufficient Effort Responding in Survey DataEsther Ulitzsch, Steffi Pohl, Lale Khorramdel, et al.
Psychometrika|December 2, 2021
A Response-Time-Based Latent Response Mixture Model for Identifying and Modeling Careless and Insufficient Effort Responding in Survey DataEsther Ulitzsch, Steffi Pohl, Lale Khorramdel, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Multivariate Behavioral Research|January 8, 2016
Measuring Response Styles Across the Big Five: A Multiscale Extension of an Approach Using Multinomial Processing TreesLale Khorramdel, Matthias von Davier
The British Journal of Mathematical and Statistical Psychology|August 7, 2019
Combining mixture distribution and multidimensional IRTree models for the measurement of extreme response stylesLale Khorramdel, Matthias von Davier, Artur Pokropek
Educational and Psychological Measurement|May 15, 2023
Scoring Graphical Responses in TIMSS 2019 Using Artificial Neural NetworksMatthias von Davier, Lillian Tyack, Lale Khorramdel
The British Journal of Mathematical and Statistical Psychology|November 14, 2019
Advances in modelling response styles and related phenomenaLale Khorramdel, Minjeong Jeon, Lihshing Leigh Wang
International Journal of Psychology : Journal International De Psychologie|May 10, 2014
The influence of item order on intentional response distortion in the assessment of high potentials: assessing pilot applicantsLale Khorramdel, Klaus D Kubinger, Alexander Uitz
Behavior Research Methods|August 13, 2025
Disentangling individual differences in cognitive response mechanisms for rating scale items: A flexible-mixture multidimensional IRTree approachÖmer Emre Can Alagöz, Thorsten Meiser, Lale Khorramdel
Applied Psychological Measurement|June 9, 2018
The Effects of Vignette Scoring on Reliability and Validity of Self-ReportsMatthias von Davier, Hyo-Jeong Shin, Lale Khorramdel, et al.
Psychometrika|February 16, 2022
Erratum to: A Response-Time-Based Latent Response Mixture Model for Identifying and Modeling Careless and Insufficient Effort Responding in Survey DataEsther Ulitzsch, Steffi Pohl, Lale Khorramdel, et al.
Psychometrika|December 2, 2021
A Response-Time-Based Latent Response Mixture Model for Identifying and Modeling Careless and Insufficient Effort Responding in Survey DataEsther Ulitzsch, Steffi Pohl, Lale Khorramdel, et al.
Pageof 1