Results 61 to 70 of about 1,633 (190)
From Dependence to Dominance: How Resource Challenges Are Empowering Logistics Providers in Europe
ABSTRACT The interplay among actors in European global value chains (GVC) is evolving due to increased interactions with logistics service providers (LSP). This research explores the characteristics of the emerging business relationships between logistics and manufacturing companies in Europe.
Javier Turienzo
wiley +1 more source
The two-parameter logistic (2PL) item response theory model is a statistical model for analyzing multivariate binary data. In this article, two groups are brought onto a common metric using the 2PL model using linking methods. The linking methods of mean–
Alexander Robitzsch
doaj +1 more source
A reproductive biology study of Labeo dero reveals a July breeding peak with female GSI reaching 14.9 %. Induced breeding trials establish optimal doses of 6 mg kg−1 (♀) and 3 mg kg−1 (♂) carp pituitary extract (94.7 % spawning) and 0.6 mL kg−1 (♀) and 0.3 mL kg−1 (♂) Ovuhom (82.3 % spawning).
Saokat Ahamed +5 more
wiley +1 more source
Background We tested the properties of the 18 Household Food Security Survey (HFSS) items, and the validity of the resulting food security classifications, in an English-speaking middle-income country.
Nunes Cheryl +2 more
doaj +1 more source
ABSTRACT Large‐scale assessments often involve measurements with missing data where for a given student all items of a construct can be missing by design. In such circumstances, researchers are required to make methodological decisions in secondary analysis.
Clievins Selva, Jörg‐Henrik Heine
wiley +1 more source
Abstract Diagnostic classification models (DCMs) assess students’ mastery of cognitive attributes to provide personalized ability profiles. Retrofitting DCMs to large‐scale mathematics assessments usually relies on inferred Q‐matrices, which can reduce accuracy and diagnostic value.
Farshad Effatpanah +4 more
wiley +1 more source
Forced choice (FC) is one of the most used forms measurement for non-cognitive assessments, which can effectively resist faking and some other response biases compared to the Likert-types scales, and has been a popular topic in the field of industrial ...
Chanjing Zheng +3 more
core +1 more source
Data Fit Comparison of Mixture Item Response Theory Models and Traditional Models
Thepurpose of this study is to determine the best IRT model [Rasch, 2PL, 3PL, 4PLand mixed IRT (2 and 3PL)] for the science and technology subtest of theTransition from Basic Education to Secondary Education (TEOG) exam, which is carriedout at national ...
Seher Yalçın
doaj +3 more sources
This study investigates the longitudinal linking of dichotomous item responses at three time points, focusing on the performance of Haberman linking, Haebara linking, Stocking-Lord linking, and concurrent calibration in the presence of item parameter drift (IPD). Two general linking approaches, joint and chain linking, are examined.
Oskar Engels +2 more
openaire +1 more source
Abstract Longitudinal data from repeated measurements are commonly used in social and behavioral sciences to study students’ growth. When scores are assigned by raters, they become subject to rater effects such as variability in rater stringency. Therefore, in longitudinal assessments with rater‐assigned scores, valid inference on growth requires ...
Yun Kyung Kim, Sijia Huang, Eun Hye Ham
wiley +1 more source

