Advances in applications of Rasch measurement in science education / Xiufeng Liu, William J. Boone, editors.

Format:

Book

Contributor:

Liu, Xiufeng, 1962-

Boone, William J. (William John)

Series:

Contemporary trends and issues in science education ; v. 57.

Contemporary Trends and Issues in Science Education ; v.57

Language:

English

Subjects (All):

Science--Study and teaching--Statistical methods.

Science.

Rasch models.

Physical Description:

1 online resource (531 p.).

Place of Publication:

Cham : Springer, 2023.

Summary:

This edited volume presents latest development in applications of Rasch measurement in science education. It includes a conceptual introduction chapter and a set of individual chapters. The introductory chapter reviews published studies applying Rasch measurement in the field of science education and identify important principles of Rasch measurement and best practices in applications of Rasch measurement in science education. The individual chapters, contributed by authors from Canada, China, Germany, Philippines and the USA, cover a variety of current topics on measurement concerning science conceptual understanding, scientific argumentation, scientific reasoning, three-dimensional learning, knowledge-in-use and cross-cutting concepts of the Next Generation Science Standards, medical education learning experiences, machine-scoring bias, formative assessment, and teacher knowledge of argument. There are additional chapters on advances in Rasch analysis techniques and technology including R, Bayesian estimation, comparison between joint maximum likelihood (JML) and marginal maximum likelihood (MML) estimations on model-data-fit, and enhancement to Rasch models by Cognitive Diagnostic Models and Latent Class Analysis. The volume provides readers who are new and experienced in applying Rasch measurement with advanced and exemplary applications in the forefront of various areas of science education research.

Contents:

Intro

Foreword

Contents

Chapter 1: Introduction to Advances in Applications of Rasch Measurement in Science Education

1.1 Item Response Theory Models vs. Rasch Models

1.2 Theory of Construct

1.3 Sample Size for Rasch Analysis

1.4 Uses of Fit Statistics

1.5 Local Independence and Dimensionality

1.6 Wright Map

1.7 Linking Rasch Measures

1.8 Using Rasch Measures for Subsequent Analyses

References

Chapter 2: Rasch Measurement in Discipline-Based Physics Education Research

2.1 Motivation and Introduction

2.2 Scope and Structure of Review

2.3 Diverse Use of Rasch Measurement in Physics Education Research

2.3.1 Assessment Revalidation and Assessment Development

2.3.2 Diverse Constructs, Assessment Formats and Scoring Schemes

2.3.3 Diverse Models and Analytical Techniques

2.4 Confusions and Improper Practices of Rasch Measurement in Physics Education Research

2.4.1 Theory-Driven Nature of Rasch Measurement

2.4.2 Principles and Operations of Rasch Measurement

2.4.3 Confirmatory Bias in Practice

2.4.4 Inconsistent Benchmarks for Analysis

2.5 Discussion and Implication

Appendix: A Summary of Reviewed Studies of Rasch Measurement in Discipline-Based Physics Education Research

Chapter 3: Using R Software for Rasch Model Calibrations

3.1 Introduction

3.2 What Is R?

3.2.1 Installation of the R Software and RStudio

3.2.2 Loading Data

3.3 Rasch Model Applications in R

3.3.1 R Programs/Packages for Rasch Modeling

3.3.2 Package Installation

3.3.3 Unidimensional Rasch Application for Dichotomous Data (Using the ``eRm ́́package)

Fitting the Rasch Model

Item Parameter Estimation

Item Characteristic Curve (ICC)

Person Ability Parameter Estimation

Model Evaluation

3.3.4 Unidimensional Rasch Application for Polytomous Data (Using ``TAM ́́for PCM)

Fitting the Partial Credit Model

Category Characteristic Curve

Person Ability Parameter Estimation

3.3.5 Multidimensional Rasch Application for Dichotomous Data (Using ``mirt)́́

Fitting the Two-Dimensional Rasch Model

Item Characteristic Surface

Epilogue

R Code

References

Chapter 4: Bayesian Partial Credit Model and Its Applications in Science Education

4.1 Introduction

4.1.1 Rasch Measurement in Science Education

4.1.2 Different Estimation Approaches to Rasch Analyses in Science Education

4.1.3 The Bayesian Approach

4.1.4 Programme for International Student Assessment

4.2 Objectives

4.3 Methods

4.4 Formulation of the PCM in Stan

4.5 Data Simulation for Parameter Recovery

4.6 Empirical Application Results and Model Checking

4.7 Convergence and Efficiency Diagnostics

4.8 Estimated Parameters

Notes:

4.9 Comparisons Between Frequentist and Bayesian Methods

Includes indexes.

Online resource; title from PDF title page (SpringerLink, viewed August 11, 2023).

Other Format:

Print version: Liu, Xiufeng Advances in Applications of Rasch Measurement in Science Education

ISBN:

9783031287763

3031287762

OCLC:

1392346887

Access Restriction:

Restricted for use by site license.