Principles and Methods of Test Construction: Standards and Recent Advances(3 Psychological Assessment - Science and Practice)

This latest volume in the series Psychological Assessment - Scienceand Practice describes the current state-of-the-art in test developmentand construction. The past 10-20 years have seen substantial advancesin the methods used to develop and administer tests. In this volumemany of the world's leading authorities collate these advances andprovide information about current practices, thus equipping researchersand students to successfully construct new tests using the best modernstandards and techniques. The first section explains the benefitsof considering the underlying theory when designing tests, such asfactor analysis and item response theory. The second section looks atitem format and test presentation. The third discusses model testingand selection, while the fourth goes into statistical methods that canfind group-specific bias. The final section discusses topics of specialrelevance, such as multitrait-multimethod analyses and developmentof screening instruments.

Table of Contents:
Part I: IntroductionChapter 1 IntroductionKarl Schweizer and Christine DiStefanoPart II: Major Approaches to Test ConstructionChapter 2 The Use of Standards in Test DevelopmentFons J. R. van de VijverChapter 3 Using Factor Analysis in Test ConstructionDeborah L. Bandalos and Jerusha J. GerstnerChapter 4 Item Response Theory as a Framework for Test ConstructionLale Khorramdel and Matthias von DavierPart III: Item Formats and Test PresentationChapter 5 Item Types, Response Formats, and Consequences for StatisticalInvestigationsRobert L. Johnson and Grant MorganChapter 6 Adaptive TestingKlaus D. KubingerChapter 7 Online AssessmentSiegbert Reiss and Ulf-Dietrich ReipsPart IV: Estimation of ModelsChapter 8 Overview of Estimation Methods and Preconditions for Their ApplicationWith Structural Equation ModelingSara J. Finney, Christine DiStefano, and Jason P. KoppChapter 9 Examining Fit With Structural Equation ModelsChristine DiStefanoPart V: Group-Based AnalysisChapter 10 Detecting Differential Item FunctioningBrian F. French and W. Holmes FinchChapter 11 Assessing Measurement Invariance of Scales Using Multiple-GroupStructural Equation ModelingMarilyn S. ThompsonPart VI: Topics of Special RelevanceChapter 12 Bifactor Modeling in Construct Validation of Multifactored Tests:Implications for Understanding Multidimensional Constructs andTest InterpretationGary L. CanivezChapter 13 Creating Short Forms and Screening MeasuresFred Greer and Jin LiuChapter 14 Using Multitrait-Multimethod Analyses in Testing for Evidence ofConstruct ValidityBarbara M. ByrneChapter 15 Method Effects in Psychological Assessment Due to Item Wordingand Item PositionKarl Schweizer and Stefan TrocheContributorsSubject Index

About the Author :
Karl Schweizer, PhD, is a Professor in theDepartment of Psychology at Goethe UniversityFrankfurt, Germany. He received his PhD from theUniversity of Freiburg and was a facultymember there and at the University of Tubingen.His research interests focus on assessment,cognitive-differential psychology, psychologicalstatistics, and research methods. He hasserved on the Executive Committee of theEuropean Association of Psychological Assessmentand was editor of European Journal of PsychologicalAssessment.Christine DiStefano, PhD, is an AssociateProfessor of Educational Measurement in theCollege of Education at the University of SouthCarolina. Her research interests are in validity,survey construction, structural equation modelingwith categorical data, and classification.