Description

Book Synopsis

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.



Table of Contents
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

Methodology for Multilevel Modeling in

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A Hardback by Myint Swe Khine

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    View other formats and editions of Methodology for Multilevel Modeling in by Myint Swe Khine

    Publisher: Springer Verlag, Singapore
    Publication Date: 11/04/2022
    ISBN13: 9789811691416, 978-9811691416
    ISBN10: 981169141X

    Description

    Book Synopsis

    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.



    Table of Contents
    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

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