Search Results

Skip to Site Navigation

Skip to Site Search

64 Results

Page:   1 2 3 4 5 6 Next

Partial Identification of Answer Reviewing Effects in Multiple‐Choice Exams Early View

  • Journal: Journal of Educational Measurement
  • Authors: Yongnam Kim
  • Published Date: Oct 14, 2019

Abstract Does reviewing previous answers during multiple‐choice exams help examinees increase their final score? This article formalizes the question using a rigorous causal framework, the potential...

Using Weighted Sum Scores to Close the Gap Between DIF Practice and Theory Early View

  • Journal: Journal of Educational Measurement
  • Authors: Neil J. Dorans, Hongwen Guo
  • Published Date: Oct 22, 2019

Abstract We make a distinction between the operational practice of using an observed score to assess differential item functioning (DIF) and the concept of departure from measurement invariance (DMI)...

Linking via Pseudo‐Equivalent Group Design: Methodological Considerations and an Application to the PISA and PIAAC Assessments Early View

  • Journal: Journal of Educational Measurement
  • Authors: Artur Pokropek, Francesca Borgonovi
  • Published Date: Nov 15, 2019

Abstract This article presents the pseudo‐equivalent group approach and discusses how it can enhance the quality of linking in the presence of nonequivalent groups. The pseudo‐equivalent group...

Automated Test Assembly with Mixed‐Integer Programming: The Effects of Modeling Approaches and Solvers Early View

  • Journal: Journal of Educational Measurement
  • Authors: Xiao Luo
  • Published Date: Nov 20, 2019

Abstract Automated test assembly (ATA) is a modern approach to test assembly that applies advanced optimization algorithms on computers to build test forms automatically. ATA greatly improves the...

Sensitivity of the RMSD for Detecting Item‐Level Misfit in Low‐Performing Countries Early View

  • Journal: Journal of Educational Measurement
  • Authors: Jesper Tijmstra, Maria Bolsinova, Yuan‐Ling Liaw, Leslie Rutkowski, David Rutkowski
  • Published Date: Dec 26, 2019

Abstract Although the root‐mean squared deviation (RMSD) is a popular statistical measure for evaluating country‐specific item‐level misfit (i.e., differential item functioning [DIF]) in international...

Studying Score Stability with a Harmonic Regression Family: A Comparison of Three Approaches to Adjustment of Examinee‐Specific Demographic Data Early View

  • Journal: Journal of Educational Measurement
  • Authors: Yi‐Hsuan Lee, Shelby J. Haberman
  • Published Date: Feb 18, 2020

Abstract For assessments that use different forms in different administrations, equating methods are applied to ensure comparability of scores over time. Ideally, a score scale is well maintained...

A Latent Class Signal Detection Model for Rater Scoring with Ordered Perceptual Distributions Early View

  • Journal: Journal of Educational Measurement
  • Authors: Lawrence T. DeCarlo, Xiaoliang Zhou
  • Published Date: Feb 18, 2020

Abstract In signal detection rater models for constructed response (CR) scoring, it is assumed that raters discriminate equally well between different latent classes defined by the scoring rubric. An...

A Framework for Measuring the Amount of Adaptation of Rasch‐based Computerized Adaptive Tests Early View

  • Journal: Journal of Educational Measurement
  • Authors: Adam E. Wyse, James R. McBride
  • Published Date: Feb 18, 2020

Abstract A key consideration when giving any computerized adaptive test (CAT) is how much adaptation is present when the test is used in practice. This study introduces a new framework to measure the...

Page:   1 2 3 4 5 6 Next
Search within results

Start new search

Topic

Topic Search Options

Subject Topics Listing

  •  Biostatistics
  •  Business & Economics
  •  Engineering
  •  Environmental
  •  Methods
  •  Social Sciences

Content Filter

Content Filter Options

Content Types Listing

  • Pages/Blocks (0)

Site Footer

Address:

This website is provided by John Wiley & Sons Limited, The Atrium, Southern Gate, Chichester, West Sussex PO19 8SQ (Company No: 00641132, VAT No: 376766987)

Published features on StatisticsViews.com are checked for statistical accuracy by a panel from the European Network for Business and Industrial Statistics (ENBIS)   to whom Wiley and StatisticsViews.com express their gratitude. This panel are: Ron Kenett, David Steinberg, Shirley Coleman, Irena Ograjenšek, Fabrizio Ruggeri, Rainer Göb, Philippe Castagliola, Xavier Tort-Martorell, Bart De Ketelaere, Antonio Pievatolo, Martina Vandebroek, Lance Mitchell, Gilbert Saporta, Helmut Waldl and Stelios Psarakis.