Results 291 to 300 of about 23,119,930 (306)

The Effects of Sample Size and Logistic Models on Item Parameter Estimation

Proceedings of the 2nd International Conference on Education, ICE 2019, 27-28 September 2019, Universitas Muhammadiyah Purworejo, Indonesia, 2020
This research aims to ascertain: (1) the effects of sample size (N) to determine item parameters; (2) the effects of logistic models (1PL, 2PL, and 3PL) on item parameter estimation.
S. Suwarto, Eko Putro Widoyoko, Budihi Setiawan   +2 more
semanticscholar   +1 more source

Alternatives to logistic regression models in experimental studies

Journal of Experimental Education, 2019
Experiments in psychology or education often use logistic regression models (LRMs) when analyzing binary outcomes. However, a challenge with LRMs is that results are generally difficult to understand.
Francis L. Huang
semanticscholar   +1 more source

Log-Logistic Models

Encyclopedia of Quality of Life and Well-Being Research, 2021
Fridtjof W. Nussbeck
semanticscholar   +1 more source

Bayesian knowledge tracing, logistic models, and beyond: an overview of learner modeling techniques

User modeling and user-adapted interaction, 2017
Radek Pelánek
semanticscholar   +2 more sources

Logistic Models

R for Political Data Science, 2020
Francisco Urdínez
semanticscholar   +1 more source

Multicollinearity in Logistic Regression Models.

Anesthesia and Analgesia, 2021
E. Bayman, F. Dexter
semanticscholar   +1 more source

A Comparative Analysis of Logistic Regression, Random Forest and KNN Models for the Text Classification

Augmented Human Research, 2020
Kanish Shah, Henil Patel, D. Sanghvi, Manan Shah   +3 more
semanticscholar   +1 more source

Fractional logistic models in the frame of fractional operators generated by conformable derivatives

Chaos, Solitons & Fractals, 2019
T. Abdeljawad, Q. Al‐Mdallal, F. Jarad
semanticscholar   +1 more source

Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis

, 2003
Sunil Rao
semanticscholar   +1 more source

Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree

Landslides, 2016
D. Tien Bui, T. Tuan, Harald Klempe, B. Pradhan, Inge Revhaug   +4 more
semanticscholar   +1 more source