본문

  1. Home
  4. Search
94 Results:SS:QUANTITATIVEPSYCHOLOGY 0.828 sec.
RSS 
Multilingual
 Расширенный поиск
 Новый поиск книги прибытия
Selected Print 선택엑셀내보내기
1
Quantifying the Perceived Length of the Stereokinetic Cylinder.
Quantifying the Perceived Length of the Stereokinetic Cylinder.
Xing, Yang Zeng.Psychology 0780. | University of California, Los Angeles. | 2024
Naver
печати
2
Stochastic Curtailment: A New Approach to Improve Efficiency in Computerized Adaptive Tests.
Stochastic Curtailment: A New Approach to Improve Efficiency in Computerized Adaptive Tests.
Tai, Ming Him.Psychology. | University of Minnesota. | 2024
Naver
печати
3
Personalized Assessment for Youth With Autism: Evaluating the Psychometric Properties of a Semi-structured Interview.
Personalized Assessment for Youth With Autism: Evaluating the Psychometric Properties of a Semi-structured Interview.
Johnson, Amanda Rose.Education 0249. | University of California, Los Angeles. | 2024
Naver
печати
4
Developing a Theory of Mind: A Multi-Method Perspective.
Developing a Theory of Mind: A Multi-Method Perspective.
Yu, Chi-Lin.Psychology. | University of Michigan. | 2024
Naver
печати
5
Exploring Space: Examining Spatial Cognitive Processes Recruited by Students and Teachers in Naturalistic Social Interaction Throughout a Summer Elementary School Engineering Unit.
Exploring Space: Examining Spatial Cognitive Processes Recruited by Students and Teachers in Naturalistic Social Interaction Throughout a Summer Elementary School Engineering Unit.
Valerie, Jesslyn.Educational Psychology. | University of Minnesota. | 2024
Naver
печати
6
Modeling Intensively Measured, Longitudinal, and Multidimensional Item Responses: Capturing Continuous-Time Latent Change Processes via Neural Stochastic Differential Equations.
Modeling Intensively Measured, Longitudinal, and Multidimensional Item Responses: Capturing Continuous-Time Latent Change Processes via Neural Stochastic Differential Equations.
Urban, Christopher J.Psychology. | The University of North Carolina at Chapel Hill. | 2024
Naver
печати
7
Compiling a Computing Identity: A Byte of Self-efficacy, Belonging, and Other Predictive Factors.
Compiling a Computing Identity: A Byte of Self-efficacy, Belonging, and Other Predictive Factors.
Stormes, Kaitlyn Nicole.Education 0249. | University of California, Los Angeles. | 2024
Naver
печати
8
Building Novel Action-Outcome Mappings for Sequential Motor Skills.
Building Novel Action-Outcome Mappings for Sequential Motor Skills.
Velazquez Vargas, Carlos Alan.Psychology. | Princeton University. | 2024
Naver
печати
9
Specifying Optimal Within-Subject Residual Variance-Covariance Structure in Latent Growth Model by Borrowing Power From Machine Learning.
Specifying Optimal Within-Subject Residual Variance-Covariance Structure in Latent Growth Model by Borrowing Power From Machine Learning.
Yang, Junyeong.Educational Studies. | The Ohio State University. | 2024
Naver
печати
10
Investigating Model and Metric Misspecification in Latent Variable Models and Evaluating Practical Implications.
Investigating Model and Metric Misspecification in Latent Variable Models and Evaluating Practical Implications.
Huang, Qi.Educational Psychology. | The University of Wisconsin - Madison. | 2024
Naver
печати
처음12345678910이후마지막