Methodology for Multilevel Modeling in Educational Research: Concepts and Applications

ISBN-13: 9789811691416 / Angielski / Twarda / 2022 / 440 str.

Myint Swe Khine

Spis treści

Introduction

Hierarchical Linear Modeling and Multilevel Modeling in Educational Research

PART I:         Theoretical Foundations and Conceptual Frameworks

Chapter 2

A Primer for Using Multilevel Confirmatory Factor Analysis Models in Educational Research

Chapter 3

Multilevel Model Selection: Balancing Model Fit and Adequacy

Chapter 4

Concepts and Applications of Multivariate Multilevel (MVML) Analysis and Multilevel Structural Equation Modeling (MLSEM)

Chapter 5

Data Visualization for Pattern Seeking in Multilevel Modeling

Chapter 6

Multilevel Structural Equation Model in Educational Research

PART II:        Methodology for Multilevel Modeling

Chapter 7

Analyzing Large-scale Assessment Data with Multilevel Analyses: Demonstration using the Programme for International Student Assessment (PISA)

Chapter 8

Multilevel Modeling of International Large-scale Assessment Data

Chapter 9

Transparency and Replicability of Multilevel Modeling Applications: A Guideline for Improved Reporting Practices

Chapter 10

Multilevel Model and Teaching Force Research: Practices and Promises

Chapter 11

Multilevel Modelling with International Large-scale Student Assessments

PART III:      Multilevel Analysis of PISA and TIMSS Data

Chapter 12

Changing Trends in the Role of South African Mathematics Teachers Qualification for Student Achievement: Findings from TIMSS Data

Chapter 13

Revisiting the Relationship between Science Teaching Practice and Scientific Literacy: Multi-Level Analysis Using PISA

Chapter 14

Family Meals and Academic Performance: A Multilevel Analysis of PISA for Spain

Chapter 15

Multilevel Modeling of Nordic Students’ Mathematics Achievements in TIMSS 2019

Chapter 16

Teachers' Perceptions of School Ethical Culture: The Implicit Meaning of TIMSS

PART IV:      Multilevel Modeling in Educational Research

Chapter 17

Teacher Personal Characteristics, Instructional Behavior, and Student Outcomes: Applying Doubly Latent Multilevel Analysis

Chapter 18

Daycare Centers’ Composition and Children’s Language Skills at School Entry: Exploring the Nature of Contextual Effects using Multilevel Modeling 

Chapter 19

Gender Effect at the Beginning of Higher Education Career in STEM Studies

 Chapter 20

Contextual Factors of Strategy Use in Solving Non-Routine Problems: A Multilevel Modelling Analysis

 Chapter 21

A Longitudinal and Multilevel Study of Client Satisfaction with Kindergartens in Norway

 Chapter 22

Multilevel Modeling and Assessment of the Study-relevant Knowledge of First-year Students in a Master's Program in Business and Economics

 Index

O autorze

Dr. Myint Swe Khine is an Adjunct Professor in the School of Education at Curtin University, Australia. He holds Masters degrees from the University of Southern California, Los Angeles, United States, University of Surrey, Guildford, United Kingdom, and University of Leicester, United Kingdom, as well as Doctor of Education from Curtin University, Australia. He was a full Professor and Chair of the Assessment and Evaluation Centre at the Emirates College for Advanced Education in the United Arab Emirates, and also worked at the Learning Sciences and Technology Academic Group, National Institute of Education at Nanyang Technological University, Singapore. He is serving as an Editorial Board member of several international journals. He publishes widely in academic journals, and has edited over forty books.

Blurb

This edited volume documents attempts to conduct systematic and prodigious research using multilevel analysis in educational settings, and present their findings and identify future research directions. It showcases the versatility of multilevel analysis, and elucidates the unique advantages in examining complex and wide-ranging educational issues. This book brings together leading experts around the world to share their works in the field, highlighting recent advances, creative and unique approaches, and innovative methods using multilevel modeling and theoretical and practical aspects of multilevel analysis in culturally and linguistically-diverse educational contexts.