Cited by 285Psychometric Methodologies and TestingEducational Assessment and PedagogyHealth Education and Validation

The DOI matches its Crossref record, with a small difference in title or year.

Constructing Measures

Wilson, Mark·2004·Routledge eBooks

Open this paper in CoChat — free account

Abstract

Constructing Measures introduces a way to understand the advantages and disadvantages of measurement instruments, how to use such instruments, and how to apply these methods to develop new instruments or adapt old ones. The book is organized around the steps taken while constructing an instrument. It opens with a summary of the constructive steps involved. Each step is then expanded on in the next four chapters. These chapters develop the "building blocks" that make up an instrument--the construct map, the design plan for the items, the outcome space, and the statistical measurement model. The next three chapters focus on quality control. They rely heavily on the calibrated construct map and review how to check if scores are operating consistently and how to evaluate the reliability and validity evidence. The book introduces a variety of item formats, including multiple-choice, open-ended, and performance items; projects; portfolios; Likert and Guttman items; behavioral observations; and interview protocols.Each chapter includes an overview of the key concepts, related resources for further investigation and exercises and activities. Some chapters feature appendices that describe parts of the instrument development process in more detail, numerical manipulations used in the text, and/or data results. A variety of examples from the behavioral and social sciences and education including achievement and performance testing; attitude measures; health measures, and general sociolo…

Integrity signals

Registry

Crossref · 10.4324/9781410611697

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Still being checked.

Sorted by citations

Items 101–200 of 285

Validez e invarianza factorial de una medida breve de Satisfacción con la Vida Familiar
Caycho‐Rodríguez, T., Ventura‐León, J., Barboza-Palomino, M., Reyes-Bossio, M. A., Gallegos, W. L. A., Cadena, C. H. G., Cabrera-Orosco, I., Ayala, J., Morgado-Gallardo, K. P., & Cahua, J. C. H. (2018) · Universitas Psychologica · doi:10.11144/javeriana.upsy17-5.vifm · Cited by 16
Survey Item ValidationPreprint
Wolf, M. G., Ihm, E. D., Maul, A., & Taves, A. (2019) · doi:10.31234/osf.io/k27w3 · Cited by 16
Rasch Modeling of the Test of Early Mathematics Ability–Third Edition With a Sample of K1 Children in Singapore
Yao, S.-Y., Muñez, D., Bull, R., Lee, K., Khng, K. H., & Poon, K. (2017) · Journal of Psychoeducational Assessment · doi:10.1177/0734282916651021 · Cited by 16
Assessing severity of problem gambling – confirmatory factor and Rasch analysis of three gambling measures
Molander, O., & Wennberg, P. (2022) · International Gambling Studies · doi:10.1080/14459795.2022.2149834 · Cited by 15
Comparing first- and third-person perspectives in early elementary learning of honeybee systems
Peppler, K., Thompson, N., Danish, J. A., Moczek, A. P., & Corrigan, S. (2020) · Instructional Science · doi:10.1007/s11251-020-09511-8 · Cited by 15
Implementation of Four-Tier Multiple-Choice Instruments Based on the Partial Credit Model in Evaluating Students’ Learning Progress
Laliyo, L. A. R., Hamdi, S., Pikoli, M., Abdullah, R., & Panigoro, C. (2021) · European Journal of Educational Research · doi:10.12973/eu-jer.10.2.825 · Cited by 15
Validation of the Dutch Version of the BODY-Q Measuring Appearance, Health-Related Quality of Life, and Experience of Healthcare in Patients Undergoing Bariatric and Body Contouring Surgery
de Vries, C. E. E., Tsangaris, E., Makarawung, D. J. S., van der Molen, A. B. M., van Veen, R. N., Hoogbergen, M. M., Pusic, A. L., Terwee, C. B., Cano, S., & Klassen, A. F. (2022) · Aesthetic Surgery Journal · doi:10.1093/asj/sjac311 · Cited by 15
Assessment of Complex Cognition: Commentary on the Design and Validation of Assessments
Pellegrino, J. W., & Wilson, M. R. (2015) · Theory Into Practice · doi:10.1080/00405841.2015.1044377 · Cited by 16
Self-citation
ANALYTIC APPROACH OF RESPONSE PATTERN OF DIAGNOSTIC TEST ITEMS IN EVALUATING STUDENTS’ CONCEPTUAL UNDERSTANDING OF CHARACTERISTICS OF PARTICLE OF MATTER
Laliyo, L. A. R., Tangio, J. S., Sumintono, B., Jahja, M., & Panigooro, C. (2020) · Journal of Baltic Science Education · doi:10.33225/jbse/20.19.824 · Cited by 15
Disability-based disparity in outpatient health system responsiveness among the older adults in low- to upper-middle-income countries
Rahman, M. H. U., Singh, A. K., & Madhavan, H. (2019) · Health Policy and Planning · doi:10.1093/heapol/czz013 · Cited by 14
Análisis Rasch de la versión española de la escala Mindful Attention Awareness Scale en una muestra clínica
Inchausti, F., Prieto, G., & Delgado, A. R. (2013) · Revista de Psiquiatría y Salud Mental · doi:10.1016/j.rpsm.2013.07.003 · Cited by 17
Using Item‐Response Theory to Improve Interpretation of the Trans Woman Voice Questionnaire
Zhao, N. W., Mason, J. M., Blum, A. M., Kim, K. D., Young, V. N., Rosen, C. A., & Schneider, S. L. (2022) · The Laryngoscope · doi:10.1002/lary.30360 · Cited by 14
Validating a Fidelity Scale to Understand Intervention Effects in Classroom-Based Studies
Buckley, P. R., Moore, B., Boardman, A. G., Arya, D. J., & Maul, A. (2017) · American Educational Research Journal · doi:10.3102/0002831217726522 · Cited by 14
RMX/PIccc: An Extended Person–Item Map and a Unified IRT Output for eRm, psychotools, ltm, mirt, and TAM
Kabic, M., & Alexandrowicz, R. W. (2023) · Psych · doi:10.3390/psych5030062 · Cited by 13
Pre-service Elementary School Teachers’ Ability to Account for the Operation of Simple Physical Systems Using the Energy Conservation Law
Papadouris, N., Hadjigeorgiou, A., & Constantinou, C. P. (2014) · Journal of Science Teacher Education · doi:10.1007/s10972-014-9407-y · Cited by 13
Exploring How to Model Formative Assessment Trajectories of Posing‐Pausing‐Probing Practices: Toward a Teacher Learning Progressions Framework for the Study of Novice Teachers
Duckor, B., & Holmberg, C. (2019) · Journal of Educational Measurement · doi:10.1111/jedm.12239 · Cited by 13
Collaborating Across Occupational Boundaries: Towards a Theoretical Model
Striković, A., & Wittmann, E. (2022) · Vocations and Learning · doi:10.1007/s12186-022-09284-w · Cited by 13
Konstruktion und Analyse von C-Tests mit Ratingskalen-Rasch-Modellen
Eckes, T. (2007) · Diagnostica · doi:10.1026/0012-1924.53.2.68 · Cited by 13
Validität
Hartig, J., Frey, A., & Jude, N. (2008) · Springer-Lehrbuch · doi:10.1007/978-3-540-71635-8_7 · Cited by 13
A cycle for validating a learning progression illustrated with an example from the concept of function
Graf, E. A., van Rijn, P. W., & Eames, C. L. (2021) · The Journal of Mathematical Behavior · doi:10.1016/j.jmathb.2020.100836 · Cited by 13
An online platform for sociocognitive metrology: the BEAR Assessment System Software
Fisher, W. P., & Wilson, M. R. (2019) · Measurement Science and Technology · doi:10.1088/1361-6501/ab5397 · Cited by 12
Self-citation
Using Penalized EM Algorithm to Infer Learning Trajectories in Latent Transition CDM
Wang, C. (2021) · Psychometrika · doi:10.1007/s11336-020-09742-1 · Cited by 12
Developing and validating an Next Generation Science Standards‐aligned construct map for chemical bonding from the energy and force perspective
Kaldaras, L., Akaeze, H., & Krajcik, J. S. (2023) · Journal of Research in Science Teaching · doi:10.1002/tea.21906 · Cited by 12
Quantification is Neither Necessary Nor Sufficient for Measurement
Mari, L. P., Maul, A., Irribarra, D. T., & Wilson, M. R. (2013) · Journal of Physics Conference Series · doi:10.1088/1742-6596/459/1/012007 · Cited by 12
Self-citation
cpm.4.CSE/IRT: Compact process model for measuring competences in computer science education based on IRT models
Zendler, A. M. (2018) · Education and Information Technologies · doi:10.1007/s10639-018-9794-3 · Cited by 12
The Need for Instructional Sensitivity and Construct Clarity in PACT
Wilkerson, J. R. (2015) · Journal of Teacher Education · doi:10.1177/0022487114561029 · Cited by 11
A Study of General Education Astronomy Students’ Understandings of Cosmology. Part II. Evaluating Four Conceptual Cosmology Surveys: A Classical Test Theory Approach
Wallace, C. S., Prather, E. E., & Duncan, D. K. (2011) · Astronomy Education Review · doi:10.3847/aer2011030 · Cited by 11
Assessment of Test Items Quality and Adaptive Testing on the Rasch Model
Kostikov, A. A., Власенко, К. В., Lovianova, I., Volkov, S. V., Kovalova, D., & Zhuravlov, M. O. (2022) · Communications in computer and information science · doi:10.1007/978-3-031-20834-8_12 · Cited by 12
Fachdidaktisch gesteuerte Modellierung und Messung von Kompetenzen im Bereich der beruflichen Bildung
Weber, S., & Achtenhagen, F. (2014) · Zeitschrift für Erziehungswissenschaft · doi:10.1007/s11618-013-0454-5 · Cited by 11
Using Machine Learning to Score Multidimensional Assessments of Students’ Skill Levels in Mathematics
Chitaree, D., Junpeng, P., Sonsilphong, S., & Tang, K. N. (2024) · Pertanika journal of social science & humanities · doi:10.47836/pjssh.32.1.10 · Cited by 10
Performance-oriented measurement of teachers’ competence in linguistically responsive teaching, relevant learning opportunities and beliefs
Lemmrich, S., & Ehmke, T. (2024) · Cogent Education · doi:10.1080/2331186x.2024.2352267 · Cited by 10
Examining the psychometric properties of the Swedish version of Clinical Outcomes in Routine Evaluation–Outcome Measure (CORE‐OM) in a clinical sample using classical test theory and item response theory
Åström, E., Sundström, A. E., & Lyrén, P. (2022) · Clinical Psychology & Psychotherapy · doi:10.1002/cpp.2808 · Cited by 10
Incorporating Mobility in Growth Modeling for Multilevel and Longitudinal Item Response Data
Choi, I.-H., & Wilson, M. R. (2016) · Multivariate Behavioral Research · doi:10.1080/00273171.2015.1114911 · Cited by 10
Self-citation
Supervised item response models for informative prediction
Idé, T., & Dhurandhar, A. (2016) · Knowledge and Information Systems · doi:10.1007/s10115-016-0976-2 · Cited by 10
Evidence of Construct Validity for the Modified Mental Fatigue Scale When Used in Persons with Cerebral Palsy
Bergqvist, L., Öhrvall, A., Rönnbäck, L., Johansson, B., Himmelmann, K., & Peny‐Dahlstrand, M. (2019) · Developmental Neurorehabilitation · doi:10.1080/17518423.2019.1645227 · Cited by 11
A Practical Approach to Modeling Complex Adaptive Flows in Psychology and Social Science
Fisher, W. P. (2017) · Procedia Computer Science · doi:10.1016/j.procs.2017.09.027 · Cited by 11
Learning in Digital Networks as a Modern Approach to ICT Literacy
Wilson, M. R., Scalise, K., & Gochyyev, P. (2017) · Educational assessment in an information age · doi:10.1007/978-3-319-65368-6_11 · Cited by 10
Self-citation
RASCH MODELLING TO EVALUATE REASONING DIFFICULTIES, CHANGES OF RESPONSES, AND ITEM MISCONCEPTION PATTERN OF HYDROLYSIS
Laliyo, L. A. R., Kilo, A. L., Paputungan, M., Kunusa, W. R., Dama, L., & Panigoro, C. (2022) · Journal of Baltic Science Education · doi:10.33225/jbse/22.21.817 · Cited by 9
NCME Presidential Address 2022: Turning the Page to the Next Chapter of Educational Measurement
Briggs, D. C. (2022) · Journal of Educational Measurement · doi:10.1111/jedm.12350 · Cited by 9
Evaluating students’ ability in constructing scientific explanations on chemical phenomena
Laliyo, L. A. R., Utina, R., Husain, R. I., Umar, M. K., Katili, M. R., & Panigoro, C. (2023) · Eurasia Journal of Mathematics Science and Technology Education · doi:10.29333/ejmste/13524 · Cited by 9
Estudio de Validación de la Escala de Resiliencia de Connor-Davidson de 10- ítems entre Estudiantes de Medicina y Psicología Mexicanos
Daniel, L., Cadena, C. H. G., Adrián Valle de la, O., Caycho‐Rodríguez, T., & Martinez-Gómez, E. (2020) · Revista de Psicología y Ciencias del Comportamiento de la Unidad Académica de Ciencias Jurídicas y Sociales · doi:10.29059/rpcc.20201215-114 · Cited by 9
Förderung und Evaluation von situationsspezifischen Fähigkeiten für einen inklusiven Sportunterricht. Überlegungen zu einer zentralen Herausforderung universitärer Sportlehrkräftebildung
Erhorn, J., Langer, W., & Möller, L. (2020) · QfI - Qualifizierung für Inklusion Online-Zeitschrift zur Forschung über Aus- Fort- und Weiterbildung pädagogischer Fachkräfte · doi:10.21248/qfi.33 · Cited by 9
Economic Inequality in Social Cohesion Among Older Adults in Low and Middle-Income Countries
Chauhan, S., Rahman, M. H. U., Jaleel, A. C. P., & Patel, R. (2021) · Ageing International · doi:10.1007/s12126-021-09415-z · Cited by 9
A Study of General Education Astronomy Students’ Understandings of Cosmology. Part III. Evaluating Four Conceptual Cosmology Surveys: An Item Response Theory Approach
Wallace, C. S., Prather, E. E., & Duncan, D. K. (2012) · Astronomy Education Review · doi:10.3847/aer2011031 · Cited by 9
Agency and intentionality-dependent experiences of moral emotions
Bland, A., Schei, T., Roiser, J., Mehta, M. A., Zahn, R., Seara-Cardoso, A., Viding, E., Sahakian, B., Robbins, T., & Elliott, R. (2020) · Personality and Individual Differences · doi:10.1016/j.paid.2020.110125 · Cited by 8
Development of the Water Instrument: a comprehensive measure of students’ knowledge of fundamental concepts in general chemistry
Balabanoff, M. E., Fulaiti, H. A., DeKorver, B. K., Mack, M. R., & Moon, A. C. (2021) · Chemistry Education Research and Practice · doi:10.1039/d1rp00270h · Cited by 8
Developing a Learning Progression for Probability Based on the GDINA Model in China
Bai, S. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.569852 · Cited by 8
Influence of proportional number relationships on item accessibility and students’ strategies
Carney, M. B., Smith, E. V., Hughes, G. R., Brendefur, J. L., & Crawford, A. (2016) · Mathematics Education Research Journal · doi:10.1007/s13394-016-0177-z · Cited by 8
Psychometric analysis of the Glasgow Coma Scale and its sub-scale scores in a national retrospective cohort of patients with traumatic injuries
Mateen, B. A., Horton, M., & Playford, E. D. (2022) · PLoS ONE · doi:10.1371/journal.pone.0268527 · Cited by 6
From Ideas to Items: A Primer on the Development of Ordered Multiple-Choice Items for Investigating the Progression of Learning in Higher Education STEM
Lazenby, K., Balabanoff, M. E., Becker, N. M., Moon, A. C., & Barbera, J. (2021) · Journal of Chemical Education · doi:10.1021/acs.jchemed.0c01121 · Cited by 7
Learning Skill Equivalencies Across Platform Taxonomies
Li, Z., Ren, C., Li, X., & Pardos, Z. A. (2021) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/3448139.3448173 · Cited by 8
A Learning Sciences Perspective on the Design and Use of Assessment in Education
Pellegrino, J. W. (2022) · Cambridge University Press eBooks · doi:10.1017/9781108888295.015 · Cited by 7
Validation of a health screening questionnaire for primary care using Rasch models
Comins, J. D., Freund, K. S., Christensen, K. B., Lous, J., & Brodersen, J. (2019) · Journal of Patient-Reported Outcomes · doi:10.1186/s41687-019-0104-7 · Cited by 6
ENHANCING STUDENTS’ HIGH-ORDER COGNITIVE SKILLS FOR HIERARCHICAL DESIGNS IN MICRO AND SYMBOLIC PARTICULATE NATURE OF MATTER
Su, K.-D. (2020) · Journal of Baltic Science Education · doi:10.33225/jbse/20.19.842 · Cited by 7
Diseño y Validación de un Instrumento para Analizar las Representaciones Externas de Estudiantes de Bachillerato sobre Genética
Flores-Camacho, F., García-Rivera, B. E., Islas, A. B., & Gallegos-Cázares, L. (2017) · Revista Iberoamericana de Evaluación Educativa · doi:10.15366/riee2017.10.2.008 · Cited by 7
Impacts Resulting from a Large-scale First-year Engineering and Computer Science Program on Students’ Successful Persistence Toward Degree Completion
Ragusa, G., Allen, E., & de Menezes, G. B. (2020) · ASEE Annual Conference & Exposition · doi:10.18260/1-2--34764 · Cited by 6
Assuring Quality in Competence Assessments: The Value Added of Applying Different Assessment Approaches to Professional Education
Blömeke, S. (2016) · Technical and vocational education and training · doi:10.1007/978-3-319-41713-4_29 · Cited by 6
Development and validation of a questionnaire measuring knowledge, attitudes, and current practices of primary healthcare physicians regarding road injury prevention in older adults
Jiménez-Mejías, E., Rivera‐Izquierdo, M., Martín-delosReyes, L. M., Martínez‐Ruiz, V., Molina-Soberanes, D., Sánchez-Pérez, M. R., & Lardelli‐Claret, P. (2021) · Family Practice · doi:10.1093/fampra/cmab148 · Cited by 6
An IRT modeling of change over time for repeated measures item response data using a random weights linear logistic test model approach
Paek, I., Baek, S.-G., & Wilson, M. R. (2012) · Asia Pacific Education Review · doi:10.1007/s12564-012-9210-4 · Cited by 6
Self-citation
Validity of personality measurement in adults with anxiety disorders: psychometric properties of the Spanish NEO-FFI-R using Rasch analyses
Inchausti, F., Mole, J. A., Fonseca‐Pedrero, E., & Sierra, J. O. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.00465 · Cited by 6
ShinyItemAnalysis: Analýza přijímacích a jiných znalostních či psychologických testů
Martinková, P., Hladká, A., & Houdek, J. (. (2017) · TESTFÓRUM · doi:10.5817/tf2017-9-129 · Cited by 6
Moving forward: Instruments and opportunities for aligning current practices with testing standards
Bostic, J. D. (2017) · Investigations in Mathematics Learning · doi:10.1080/19477503.2017.1325662 · Cited by 6
Development and Preliminary Validation of the University of Minnesota’s Traumatic Stress Screen for Children and Adolescents (TSSCA)
Donisch, K., Zhang, Y., Bray, C., Frank, S., & Gewirtz, A. H. (2020) · The Journal of Behavioral Health Services & Research · doi:10.1007/s11414-020-09725-1 · Cited by 6
Caliper: Measuring success in STEM learning ecosystems
Morrison, J., & Fisher, W. P. (2021) · Measurement Sensors · doi:10.1016/j.measen.2021.100327 · Cited by 6
Measuring symptoms severity in carpal tunnel syndrome: score agreement and responsiveness of the Atroshi-Lyrén 6-item symptoms scale and the Boston symptom severity scale
Möllestam, K., Rosales, R. S., Lyrén, P., & Atroshi, I. (2021) · Quality of Life Research · doi:10.1007/s11136-021-03039-1 · Cited by 6
Ophthalmic statistics note 12: multivariable or multivariate: what’s in a name?
Bunce, C., Czanner, G., Grzeda, M. T., Doré, C. J., & Freemantle, N. (2017) · British Journal of Ophthalmology · doi:10.1136/bjophthalmol-2017-310846 · Cited by 6
ASSESSING UPPER-SECONDARY SCHOOL STUDENTS’ INTERDISCIPLINARY UNDERSTANDING OF ENVIRONMENTAL ISSUES
Lan, Y., Chi, S., & Wang, Z. (2021) · Journal of Baltic Science Education · doi:10.33225/jbse/21.20.811 · Cited by 5
Explanatory Models, Unit Standards, and Personalized Learning in Educational Measurement
Fisher, W. P., Jr., & Massengill, P. J. (2022) · Springer eBooks · doi:10.1007/978-981-19-3747-7 · Cited by 7
Fostering Computation Competence with Non-Counting Strategies and Conceptual Subitizing in Grade 1: An Intervention Study in Inclusive Classrooms
Leuenberger, D., Diener, M., Wehren-Müller, M., Hofmann-Villiger, A., Vogt, F., & Opitz, E. M. (2024) · Journal für Mathematik-Didaktik · doi:10.1007/s13138-024-00236-6 · Cited by 5
On the Nature of Measurement
Briggs, D. C., Maul, A., & Briggs, J. A. (2026) · Oxford University Press eBooks · doi:10.1093/oso/9780197654965.003.0021 · Cited by 5
Benchmarking by Item Response Theory (BIRTH)
Pacheco, J. A., de Andrade, D. F., & Bornia, A. C. (2015) · Benchmarking An International Journal · doi:10.1108/bij-03-2013-0035 · Cited by 5
Affordances and Constraints of Learning Progression Designs in Supporting Formative Assessment
Furtak, E. M., & Tayne, K. (2019) · Contributions from science education research · doi:10.1007/978-3-030-17219-0_15 · Cited by 5
Linking scores from two written receptive English academic vocabulary tests—The VLT-Ac and the AVT
Warnby, M., Malmström, H., & Hansen, K. Y. (2023) · Language Testing · doi:10.1177/02655322221145643 · Cited by 7
Science Literacy and Text Book Biases
Ragusa, G. (2020) · ASEE Annual Conference & Exposition · doi:10.18260/1-2--22440 · Cited by 5
Large-Scale Assessment of Vocational Education and Training
Achtenhagen, F., & Winther, E. (2014) · Springer international handbooks of education · doi:10.1007/978-94-017-8902-8_48 · Cited by 5
Leveraging Parents and Peer Recovery Supports to Increase Recovery Capital in Emerging Adults With Polysubstance Use: Protocol for a Feasibility, Acceptability, and Appropriateness Study of Launch
Drazdowski, T. K., de Martell, S. C., Sheidow, A. J., Chapman, J. E., & McCart, M. R. (2024) · JMIR Research Protocols · doi:10.2196/60671 · Cited by 5
How to Model and Test for the Mechanisms That Make Measurement Systems Tick
Stenner, A. J., Stone, M. H., & Burdick, D. S. (2022) · Springer eBooks · doi:10.1007/978-981-19-3747-7_15 · Cited by 4
Alternately Contested
Roos, J. M. (2016) · Socius Sociological Research for a Dynamic World · doi:10.1177/2378023116671143 · Cited by 4
Design, development and validity testing of the gang affiliation risk measure (GARM)
Raby, C., Jones, F., Hulbert, S., & Stout, J. (2017) · Journal of Forensic Psychiatry and Psychology · doi:10.1080/14789949.2017.1324578 · Cited by 4
The Quest for the Holy Grail of Validity in Science Assessments: A Comment on Kampa and Köller (2016) “German National Proficiency Scales in Biology: Internal Structure, Relations to General Cognitive Abilities and Verbal Skills”
Scherer, R. (2017) · Science Education · doi:10.1002/sce.21278 · Cited by 4
The BNT-38: Applying Rasch Analysis to Adapt the Boston Naming Test for Use With English and French Monolinguals and Bilinguals
Medvedev, O. N., Sheppard, C. L., Monetta, L., & Taler, V. (2019) · Journal of Speech Language and Hearing Research · doi:10.1044/2018_jslhr-l-18-0084 · Cited by 5
Chemie, Sozialwissenschaften und Ingenieurwissenschaften: Studienerfolg und Studienabbruch
Walpuski, M., Fischer, V., Lang, M., Leutner, D., Manzel, S., & Sumfleth, E. (2021) · Springer eBooks · doi:10.1007/978-3-658-32892-4_7 · Cited by 4
Development of an exercise programme for balance abilities in people with multiple sclerosis: a development of concept study using Rasch analysis
Sattelmayer, M., Chevalley, O., Kool, J., Wiskerke, E., Denkinger, L. N., Giacomino, K., Opsommer, E., & Hilfiker, R. (2021) · Archives of Physiotherapy · doi:10.1186/s40945-021-00120-3 · Cited by 4
Measuring Students' Scientific Argumentation Skills in Explaining Phenomena Related to Acid-Base Concepts
Hilala, R., Laliyo, L. A. R., Kilo, J. L., Tangio, J. S., Mohamad, E., & Sihaloho, M. (2023) · Jurnal Pendidikan Sains Indonesia · doi:10.24815/jpsi.v11i2.27822 · Cited by 4
Curriculare Analysen als Baustein der Assessmentkonstruktion
Fortunati, F., & Winther, E. (2024) · Zeitschrift für Erziehungswissenschaft · doi:10.1007/s11618-024-01229-4 · Cited by 4
Research on Innovation and Creativity in Higher Education in Engineering and Science for Community Colleges
Ragusa, G. (2015) · ASEE Annual Conference & Exposition · doi:10.18260/p.24670 · Cited by 4
Research on Innovation and Creativity in Higher Education in Engineering and Science for Community Colleges: Student Strengths and Challenges
Ragusa, G. (2016) · ASEE Annual Conference & Exposition · doi:10.18260/p.26086 · Cited by 4
Efectos de los laboratorios de ciencias con TIC en la comprensión y representación de los conocimientos científicos en estudiantes del bachillerato en un contexto escolar cotidiano
Flores-Camacho, F., Gallegos-Cázares, L., García-Rivera, B. E., & Islas, A. B. (2019) · Revista Iberoamericana de Educación Superior · doi:10.22201/iisue.20072872e.2019.29.527 · Cited by 4
Untangling complex effects of disabilities and accommodations within a multilevel IRT framework
Lin, P.-Y., Childs, R. A., & Lin, Y.-C. (2015) · Quality & Quantity · doi:10.1007/s11135-015-0288-8 · Cited by 4
Connecting Lines of Research on Task Model Variables, Automatic Item Generation, and Learning Progressions in Game-Based Assessment
Graf, E. A. (2014) · Measurement Interdisciplinary Research and Perspectives · doi:10.1080/15366367.2014.921032 · Cited by 4
The Dilemma of Psychology: Objective without an Object?
Lind, G. (2019) · Psychologia Wychowawcza · doi:10.5604/01.3001.0013.2967 · Cited by 3
Development and Validation of Physical Activity-Specific Rumination Scale for Children Through UK Children’s Voice
Ling, F. C. M., Simmons, J., & Horton, M. (2022) · Research Quarterly for Exercise and Sport · doi:10.1080/02701367.2021.1971150 · Cited by 3
Validity Evidence for an Observational Fidelity Measure to Inform Scale-Up of Evidence-Based Interventions
Buckley, P. R., Combs, K. M., Drewelow, K. M., Hubler, B., & Lain, M. A. (2024) · Evaluation Review · doi:10.1177/0193841x241248864 · Cited by 3
Assessing harm severity: a Rasch analysis of the gambling harm measure
Gooding, N. B., Allami, Y., Delfabbro, P., Williams, R. J., Parke, J., Volberg, R. A., & Hodgins, D. C. (2025) · International Gambling Studies · doi:10.1080/14459795.2025.2486122 · Cited by 3
Weaknesses of the Traditional View of Standard Setting and a Suggested Alternative
Wilson, M. R., & Santelices, M. V. (2017) · Methodology of educational measurement and assessment · doi:10.1007/978-3-319-50856-6_3 · Cited by 3
Self-citation
Initial psychometric evaluation of the Community Participation Activation Scale
Lee, D., Mallinson, T., Baum, C. M., & Hammel, J. M. (2018) · Canadian Journal of Occupational Therapy · doi:10.1177/0008417418795297 · Cited by 3
Rasch Analysis of the Emotional and Behavioral Screener
Garcia, A. G., Lambert, M. C., Epstein, M. H., & Cullinan, D. (2018) · School Mental Health · doi:10.1007/s12310-018-09304-y · Cited by 3
Creating a coupled multiple response assessment for modeling in lab courses
Pollard, B., Fox, M. F. J., Ríos, L., & Lewandowski, H. J. (2020) · Physics Education Research Conference (PERC) · doi:10.1119/perc.2020.pr.pollard · Cited by 3
Does religious morality predict party affiliation better than political ideology? An empirical approach using psycho-social metrics constructed through item response modeling
Vista, A. (2021) · International Journal of Social Research Methodology · doi:10.1080/13645579.2021.1893257 · Cited by 3
In Need of Development, Learning and Research? : On the Possibilities of a Common Point of Departure for Digital and Educational Development
From, J., & Pettersson, F. (2022) · Journal of Digital Social Research · doi:10.33621/jdsr.v4i2.110 · Cited by 3

Authors: Wilson, M.
Corresponding author: Wilson, Mark
ORCID: Wilson, Mark
Venue: Routledge eBooks
Publisher: Routledge
Published: 2004-12-13
DOI: 10.4324/9781410611697
OpenAlex: W4244055828
Cited by: 277
References: 0
Citations by year: 2026: 8 · 2025: 6 · 2024: 14 · 2023: 20 · 2022: 29 · 2021: 29 · 2020: 24 · 2019: 27 · 2018: 20 · 2017: 19 · 2016: 17 · 2015: 14 · 2014: 11 · 2013: 9 · 2012: 8
FWCI: 1.26
Type: book
Language: en
Open access: closed
Locations: Routledge eBooks (publishedVersion)
Topics: Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
Social Sciences › Education › Educational Assessment and Pedagogy
Health Sciences › Nursing › Research and Theory › Health Education and Validation
Keywords: instrument development, construct maps, item design, outcome space, reliability statistics, validity, item format, Guttman scale, behavioral observation, interview protocol, achievement tests, health outcome measures, Rasch analysis, item response theory

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Constructing Measures

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Citations

Cites

Cited by

Related

Metadata

Record

About these checks