The standards for educational and psychological testing.

Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives

Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788

Convergent and discriminant validation by the multitrait-multimethod matrix.

Campbell, D. T., & Fiske, D. W. (1959) · Psychological Bulletin · doi:10.1037/h0046016 · Cited by 17,116

Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance

Cheung, G. W., & Rensvold, R. B. (2002) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1207/s15328007sem0902_5 · Cited by 16,280

The Rediscovery of Bifactor Measurement Models

Reise, S. P. (2012) · Multivariate Behavioral Research · doi:10.1080/00273171.2012.715555 · Cited by 2,112

Power and sensitivity of alternative fit indices in tests of measurement invariance.

Meade, A. W., Johnson, E. C., & Braddy, P. W. (2008) · Journal of Applied Psychology · doi:10.1037/0021-9010.93.3.568 · Cited by 1,668

TEACHER’S CORNER: Testing Measurement Invariance of Second-Order Factor Models

Chen, F. F., Sousa, K. H., & West, S. G. (2005) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1207/s15328007sem1203_7 · Cited by 1,032

Male Role Norms Inventory–Short Form (MRNI-SF): Development, confirmatory factor analytic investigation of structure, and measurement invariance across gender.

Levant, R. F., Hall, R. J., & Rankin, T. J. (2013) · Journal of Counseling Psychology · doi:10.1037/a0031545 · Cited by 222

Determining Validity in Qualitative Inquiry

Creswell, J. W., & Miller, D. L. (2000) · Theory Into Practice · doi:10.1207/s15430421tip3903_2 · Cited by 9,184

Optimal number of response categories in rating scales: reliability, validity, discriminating power, and respondent preferences

Preston, C. C., & Colman, A. M. (2000) · Acta Psychologica · doi:10.1016/s0001-6918(99)00050-5 · Cited by 2,106

Servant Leadership: A systematic review and call for future research

Eva, N., Robin, M., Sendjaya, S., van Dierendonck, D., & Liden, R. C. (2019) · The Leadership Quarterly · doi:10.1016/j.leaqua.2018.07.004 · Cited by 1,858

Measurement Matters: Assessing Personal Qualities Other Than Cognitive Ability for Educational Purposes

Duckworth, A. L., & Yeager, D. S. (2015) · Educational Researcher · doi:10.3102/0013189x15584327 · Cited by 993

A Review of Multiple-Choice Item-Writing Guidelines for Classroom Assessment

Haladyna, T. M., Downing, S. M., & Rodriguez, M. C. (2002) · Applied Measurement in Education · doi:10.1207/s15324818ame1503_5 · Cited by 973

MTLD, vocd-D, and HD-D: A validation study of sophisticated approaches to lexical diversity assessment

McCarthy, P. M., & Jarvis, S. (2010) · Behavior Research Methods · doi:10.3758/brm.42.2.381 · Cited by 905

Applicant Reactions to Selection Procedures: An Updated Model and Meta‐Analysis

Hausknecht, J. P., Day, D. V., & Thomas, S. C. (2004) · Personnel Psychology · doi:10.1111/j.1744-6570.2004.00003.x · Cited by 816

ITC Guidelines for Translating and Adapting Tests (Second Edition)

(2018) · International Journal of Testing · doi:10.1080/15305058.2017.1398166 · Cited by 789

Revision and restandardization of the Conners Teacher Rating Scale (CTRS-R): factor structure, reliability, and criterion validity

Conners, C. K., Sitarenios, G., Parker, J. D. A., & Epstein, J. N. (1998) · Journal of Abnormal Child Psychology · doi:10.1023/a:1022606501530 · Cited by 678

Measuring cost: The forgotten component of expectancy-value theory

Flake, J. K., Barron, K. E., Hulleman, C., McCoach, B. D., & Welsh, M. E. (2015) · Contemporary Educational Psychology · doi:10.1016/j.cedpsych.2015.03.002 · Cited by 554

A contemporary approach to validity arguments: a practical guide to Kane's framework

Cook, D. A., Brydges, R., Ginsburg, S., & Hatala, R. (2015) · Medical Education · doi:10.1111/medu.12678 · Cited by 554

Recommendations for reporting the results of studies of instrument and scale development and testing

Streiner, D. L., & Kottner, J. (2014) · Journal of Advanced Nursing · doi:10.1111/jan.12402 · Cited by 463

Translation and Validation of Body Image Instruments: Challenges, Good Practice Guidelines, and Reporting Recommendations for Test Adaptation

Swami, V., & Barron, D. (2019) · Body Image · doi:10.1016/j.bodyim.2018.08.014 · Cited by 454

Exhausted parents: development and preliminary validation of the parental burnout inventory

Roskam, I., Raes, M.-E., & Mikolajczak, M. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.00163 · Cited by 391

RISK, RACE, AND RECIDIVISM: PREDICTIVE BIAS AND DISPARATE IMPACT*

SKEEM, J. L., & LOWENKAMP, C. T. (2016) · Criminology · doi:10.1111/1745-9125.12123 · Cited by 317

A psychometric review of the Personality Inventory for DSM–5 (PID–5): Current status and future directions

Al-Dajani, N., Gralnick, T. M., & Bagby, R. M. (2016) · Journal of Personality Assessment · doi:10.1080/00223891.2015.1107572 · Cited by 303

Measuring Undergraduate Students' Engineering Self‐Efficacy: A Validation Study

Mamaril, N. A., Usher, E. L., Li, C. R., Economy, D. R., & Kennedy, M. S. (2016) · Journal of Engineering Education · doi:10.1002/jee.20121 · Cited by 302

Taking a future perspective by learning from the past – A systematic review of assessment instruments that aim to measure primary and secondary school students' ICT literacy

Siddiq, F., Hatlevik, O. E., Olsen, R. V., Throndsen, I., & Scherer, R. (2016) · Educational Research Review · doi:10.1016/j.edurev.2016.05.002 · Cited by 269

Characterizing College Science Assessments: The Three-Dimensional Learning Assessment Protocol

Laverty, J. T., Underwood, S. M., Matz, R. L., Posey, L. A., Carmel, J. H., Caballero, M. D., Fata-Hartley, C. L., Ebert-May, D., Jardeleza, S. E., & Cooper, M. M. (2016) · PLOS ONE · doi:10.1371/journal.pone.0162333 · Cited by 262

Experiential Avoidance: An Examination of the Construct Validity of the AAQ-II and MEAQ

Rochefort, C., Baldwin, A. S., & Chmielewski, M. (2018) · Behavior Therapy · doi:10.1016/j.beth.2017.08.008 · Cited by 247

Measurement equivalence: A non-technical primer on categorical multi-group confirmatory factor analysis in school psychology

Pendergast, L. L., von der Embse, N., Kilgus, S. P., & Eklund, K. R. (2017) · Journal of School Psychology · doi:10.1016/j.jsp.2016.11.002 · Cited by 229

Teacher Well-Being: Exploring Its Components and a Practice-Oriented Scale

Collie, R. J., Shapka, J. D., Perry, N. E., & Martin, A. J. (2015) · Journal of Psychoeducational Assessment · doi:10.1177/0734282915587990 · Cited by 225

Assessing Intercultural Competence in Higher Education: Existing Research and Future Directions

Griffith, R. L., Wolfeld, L., Armon, B. K., Rios, J., & Liu, O. L. (2016) · ETS Research Report Series · doi:10.1002/ets2.12112 · Cited by 211

Hidden Invalidity Among 15 Commonly Used Measures in Social and Personality Psychology

Hussey, I., & Hughes, S. (2020) · Advances in Methods and Practices in Psychological Science · doi:10.1177/2515245919882903 · Cited by 199

Evaluating the metacognitive awareness inventory using empirical factor-structure evidence

Harrison, G. M., & Vallin, L. M. (2018) · Metacognition and Learning · doi:10.1007/s11409-017-9176-z · Cited by 182

An Instrument for Measuring Teachers’ Trust in AI-Based Educational Technology

Nazaretsky, T., Cukurova, M., & Alexandron, G. (2022) · LAK22: 12th International Learning Analytics and Knowledge Conference · doi:10.1145/3506860.3506866 · Cited by 158

Validity and the consequences of test interpretation and use

Hubley, A. M., & Zumbo, B. D. (2011) · Social Indicators Research · doi:10.1007/s11205-011-9843-4 · Cited by 153

Attitudes towards artificial intelligence at work: Scale development and validation

Park, J., Woo, S. E., & Kim, J. (2024) · Journal of Occupational and Organizational Psychology · doi:10.1111/joop.12502 · Cited by 150

Ability to manage everyday technology: a comparison of persons with dementia or mild cognitive impairment and older adults without cognitive impairment

Malinowsky, C., Almkvist, O., Kottorp, A., & Nygård, L. (2010) · Disability and Rehabilitation: Assistive Technology · doi:10.3109/17483107.2010.496098 · Cited by 123

BioSkills Guide: Development and National Validation of a Tool for Interpreting the Vision and Change Core Competencies

Clemmons, A. W., Timbrook, J., Herron, J. C., & Crowe, A. J. (2020) · CBE—Life Sciences Education · doi:10.1187/cbe.19-11-0259 · Cited by 122

Twitter Analysis: Studying US Weekly Trends in Work Stress and Emotion

Wang, W., Hernandez, I., Newman, D. A., He, J., & Bian, J. (2016) · Applied Psychology · doi:10.1111/apps.12065 · Cited by 120

The Dark Side of Development: A Systems Characterization of the Negative Mentoring Experiences of Doctoral Students

Tuma, T. T., Adams, J. D., Hultquist, B. C., & Dolan, E. L. (2021) · CBE—Life Sciences Education · doi:10.1187/cbe.20-10-0231 · Cited by 118

Psychometric properties of implementation measures for public health and community settings and mapping of constructs against the Consolidated Framework for Implementation Research: a systematic review

Clinton-McHarg, T., Yoong, S. L., Tzelepis, F., Regan, T., Fielding, A., Skelton, E., Kingsland, M., Ooi, J. Y., & Wolfenden, L. (2016) · Implementation Science · doi:10.1186/s13012-016-0512-5 · Cited by 116

Students Are Rarely Independent: When, Why, and How to Use Random Effects in Discipline-Based Education Research

Theobald, E. (2018) · CBE—Life Sciences Education · doi:10.1187/cbe.17-12-0280 · Cited by 114

A Critical Review of Five Commonly Used Social-Emotional and Behavioral Screeners for Elementary or Secondary Schools

Jenkins, L. N., Demaray, M. K., Wren, N. S., Secord, S. M., Lyell, K. M., Magers, A. M., Setmeyer, A. J., Rodelo, C., Newcomb-McNeal, E., & Tennant, J. (2014) · Contemporary School Psychology · doi:10.1007/s40688-014-0026-6 · Cited by 109

Machine learning–driven language assessment

Settles, B., T. LaFlair, G., & Hagiwara, M. (2020) · Transactions of the Association for Computational Linguistics · doi:10.1162/tacl_a_00310 · Cited by 106

Exploratory bifactor analysis of the Wechsler Intelligence Scale for Children—Fifth Edition with the 16 primary and secondary subtests

Dombrowski, S. C., Canivez, G. L., Watkins, M. W., & Alexander Beaujean, A. (2015) · Intelligence · doi:10.1016/j.intell.2015.10.009 · Cited by 105

Assessment Practices and the Underrepresentation of Minority Students in Gifted and Talented Education

Erwin, J. O., & Worrell, F. C. (2012) · Journal of Psychoeducational Assessment · doi:10.1177/0734282911428197 · Cited by 106

How to assess and compare inter-rater reliability, agreement and correlation of ratings: an exemplary analysis of mother-father and parent-teacher expressive vocabulary rating pairs

Stolarova, M., Wolf, C., Rinker, T., & Brielmann, A. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00509 · Cited by 93

Identifying and Monitoring Students' Learning Needs With Technology

Chen, E., Heritage, M., & Lee, J. (2005) · Journal of Education for Students Placed at Risk (JESPAR) · doi:10.1207/s15327671espr1003_6 · Cited by 93

Fairness in Assessment

Gipps, C., & Stobart, G. (2009) · Educational Assessment in the 21st Century · doi:10.1007/978-1-4020-9964-9_6 · Cited by 92

Evaluating an instrument to measure mental load and mental effort considering different sources of validity evidence

Krell, M. (2017) · Cogent Education · doi:10.1080/2331186x.2017.1280256 · Cited by 91

Severity of Autism Spectrum Disorders: Current Conceptualization, and Transition to DSM-5

Mehling, M. H., & Tassé, M. J. (2016) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-016-2731-7 · Cited by 89

Honoring Indigenous culture-as-intervention: Development and validity of the Native Wellness Assessment TM

Fiedeldey-Van Dijk, C., Rowan, M., Dell, C., Mushquash, C., Hopkins, C., Fornssler, B., Hall, L., Mykota, D., Farag, M., & Shea, B. (2017) · Journal of Ethnicity in Substance Abuse · doi:10.1080/15332640.2015.1119774 · Cited by 88

Much ado about differences: why expert-novice comparisons add little to the validity argument

Cook, D. A. (2015) · Advances in Health Sciences Education · doi:10.1007/s10459-014-9551-3 · Cited by 81

Recruiting and Retaining Underrepresented Gifted Students

Worrell, F. C., & Dixson, D. D. (2018) · Handbook of Giftedness in Children · doi:10.1007/978-3-319-77004-8_13 · Cited by 81

How Do Teachers Make Sense of Data in the Context of High-Stakes Decision Making?

Vanlommel, K., & Schildkamp, K. (2019) · American Educational Research Journal · doi:10.3102/0002831218803891 · Cited by 79

Predictive Validity of Pretrial Risk Assessments: A Systematic Review of the Literature

Desmarais, S. L., Zottola, S. A., Duhart Clarke, S. E., & Lowder, E. M. (2021) · Criminal Justice and Behavior · doi:10.1177/0093854820932959 · Cited by 79

The effects of generative AI agents and scaffolding on enhancing students’ comprehension of visual learning analytics

Yan, L., Martinez-Maldonado, R., Jin, Y., Echeverria, V., Milesi, M., Fan, J., Zhao, L., Alfredo, R., Li, X., & Gašević, D. (2025) · Computers & Education · doi:10.1016/j.compedu.2025.105322 · Cited by 85

Racist Algorithms or Systemic Problems? Risk Assessments and Racial Disparities

Vincent, G. M., & Viljoen, J. L. (2020) · Criminal Justice and Behavior · doi:10.1177/0093854820954501 · Cited by 68

Culturally Responsive Assessment: Provisional Principles

Walker, M. E., Olivera‐Aguilar, M., Lehman, B., Laitusis, C., Guzman‐Orth, D., & Gholson, M. (2023) · ETS Research Report Series · doi:10.1002/ets2.12374 · Cited by 62

Contextual and Mathematics Accommodation Test Effects for English-Language Learners

Hofstetter, C. H. (2003) · Applied Measurement in Education · doi:10.1207/s15324818ame1602_4 · Cited by 60

Establishing survey validity: A practical guide

COBERN, W., & ADAMS, B. (2020) · International Journal of Assessment Tools in Education · doi:10.21449/ijate.781366 · Cited by 59

Strengthening the foundation of educational psychology by integrating construct validation into open science reform

Flake, J. K. (2021) · Educational Psychologist · doi:10.1080/00461520.2021.1898962 · Cited by 58

What matters to patients? A systematic review of preferences for medication-associated outcomes in mental disorders

Eiring, Ø., Landmark, B. F., Aas, E., Salkeld, G., Nylenna, M., & Nytrøen, K. (2015) · BMJ Open · doi:10.1136/bmjopen-2015-007848 · Cited by 57

Construct Validity of the WISC-V in Clinical Cases: Exploratory and Confirmatory Factor Analyses of the 10 Primary Subtests

Canivez, G. L., McGill, R. J., Dombrowski, S. C., Watkins, M. W., Pritchard, A. E., & Jacobson, L. A. (2020) · Assessment · doi:10.1177/1073191118811609 · Cited by 53

Assessment in the evaluation of self-regulation as a process.

Cascallar, E., Boekaerts, M., & Costigan, T. (2006) · Educational Psychology Review · doi:10.1007/s10648-006-9023-2 · Cited by 54

A systematic review of sexual distress measures

Santos-Iglesias, P., Mohamed, B., & Walker, L. M. (2018) · The Journal of Sexual Medicine · doi:10.1016/j.jsxm.2018.02.020 · Cited by 51

Rater fairness in music performance assessment: evaluating model-data fit and differential rater functioning

Wesolowski, B. C., Wind, S. A., & Engelhard, G. (2015) · Musicae Scientiae · doi:10.1177/1029864915589014 · Cited by 50

Kurz und knapp – die Kurzskala des Fragebogens „Lernstrategien im Studium“ (LIST)

Klingsieck, K. B. (2018) · Zeitschrift für Pädagogische Psychologie · doi:10.1024/1010-0652/a000230 · Cited by 47

Classroom observation systems in context: A case for the validation of observation systems

Liu, S., Bell, C. A., Jones, N. D., & McCaffrey, D. F. (2019) · Educational Assessment, Evaluation and Accountability · doi:10.1007/s11092-018-09291-3 · Cited by 46

Does the Use of Gender-Fair Language Influence the Comprehensibility of Texts?: An Experiment Using an Authentic Contract Manipulating Single Role Nouns and Pronouns

Friedrich, M. C. G., & Heise, E. (2019) · Swiss Journal of Psychology · doi:10.1024/1421-0185/a000223 · Cited by 46

Slower Processing Speed in Autism Spectrum Disorder: A Meta-analytic Investigation of Time-Based Tasks

Zapparrata, N. M., Brooks, P. J., & Ober, T. M. (2023) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-022-05736-3 · Cited by 44

Untitled work

(2021) · doi:10.1145/3442188.3445933 · Cited by 44

The Edinburgh Postnatal Depression Scale (EPDS): A Review of the Reported Validity Evidence

McBride, H. L., Wiens, R. M., McDonald, M. J., Cox, D. W., & Chan, E. K. H. (2014) · Social Indicators Research Series · doi:10.1007/978-3-319-07794-9_9 · Cited by 43

The Minnesota Conference proposed guidelines for education and training in clinical neuropsychology

Stringer, A. Y., Fuchs, K., Bordes Edgar, V., Bristow, T., Correia, S., Penna, S., Reyes, A., Whiteside, D. M., Block, C., Bodin, D., et al. (2026) · The Clinical Neuropsychologist · doi:10.1080/13854046.2025.2520957 · Cited by 41

Conducting gender-based analysis of existing databases when self-reported gender data are unavailable: the GENDER index in a working population

on behalf of the TORSADE Cohort Working Group, Lacasse, A., Pagé, M. G., Choinière, M., Dorais, M., Vissandjée, B., Nguefack, H. L. N., Katz, J., Samb, O. M., & Vanasse, A. (2020) · Canadian Journal of Public Health · doi:10.17269/s41997-019-00277-2 · Cited by 39

Exploring internal structure of a performance-based critical thinking assessment for new students in higher education

Kleemola, K., Hyytinen, H., & Toom, A. (2022) · Assessment & Evaluation in Higher Education · doi:10.1080/02602938.2021.1946482 · Cited by 38

The Effects of Incomplete Rating Designs in Combination With Rater Effects

Wind, S. A., & Jones, E. (2019) · Journal of Educational Measurement · doi:10.1111/jedm.12201 · Cited by 39

Long-term stability of Wechsler Intelligence Scale for Children–fifth edition scores in a clinical sample

Watkins, M. W., Canivez, G. L., Dombrowski, S. C., McGill, R. J., Pritchard, A. E., Holingue, C. B., & Jacobson, L. A. (2022) · Applied Neuropsychology: Child · doi:10.1080/21622965.2021.1875827 · Cited by 35

Validation of the Kenny Music Performance Anxiety Inventory (K-MPAI): A cross-cultural confirmation of its factorial structure

Chang-Arana, Á. M., Kenny, D. T., & Burga-León, A. A. (2018) · Psychology of Music · doi:10.1177/0305735617717618 · Cited by 34

Latent Structure of the Behavior Rating Inventory of Executive Function—Adult Version (BRIEF–A) After Mild Traumatic Brain Injury

Donders, J., & Strong, C.-A. H. (2016) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/acv048 · Cited by 34

Do you remember? Rater memory systems and leadership measurement

Hansbrough, T. K., Lord, R. G., Schyns, B., Foti, R. J., Liden, R. C., & Acton, B. P. (2021) · The Leadership Quarterly · doi:10.1016/j.leaqua.2020.101455 · Cited by 33

The Methodology of Metaevaluation as Reflected in Metaevaluations by the Western Michigan University Evaluation Center

Stufflebeam, D. L. (2000) · Journal of Personnel Evaluation in Education · doi:10.1023/a:1008198315521 · Cited by 32

Rater Performance Standards for Classroom Observation Instruments

White, M. C. (2018) · Educational Researcher · doi:10.3102/0013189x18785623 · Cited by 32

Teachers’ Conceptions of Fairness in Classroom Assessment: An Empirical Study

Rasooli, A., Rasegh, A., Zandi, H., & Firoozi, T. (2023) · Journal of Teacher Education · doi:10.1177/00224871221130742 · Cited by 30

Factor structure of the WISC‐V in four standardization age groups: Exploratory and hierarchical factor analyses with the 16 primary and secondary subtests

Canivez, G. L., Dombrowski, S. C., & Watkins, M. W. (2018) · Psychology in the Schools · doi:10.1002/pits.22138 · Cited by 30

A psychometric framework for evaluating and shaping personality traits in large language models

Serapio-García, G., Safdari, M., Crepy, C., Sun, L., Fitz, S., Romero, P., Abdulhai, M., Faust, A., & Matarić, M. (2025) · Nature Machine Intelligence · doi:10.1038/s42256-025-01115-6 · Cited by 30

Ecological validity in neurocognitive assessment: Systematized review, content analysis, and proposal of an instrument

Pinto, J. O., Dores, A. R., Peixoto, B., & Barbosa, F. (2025) · Applied Neuropsychology: Adult · doi:10.1080/23279095.2023.2170800 · Cited by 28

Is the Cattell–Horn–Carroll-based factor structure of the Wechsler Intelligence Scale for Children—Fifth Edition (WISC-V) construct invariant for a representative sample of African–American, Hispanic, and Caucasian male and female students ages 6 to 16 years?

Scheiber, C. (2016) · Journal of Pediatric Neuropsychology · doi:10.1007/s40817-016-0019-7 · Cited by 25

Team Performance Measurement

Rosen, M. A., & Dietz, A. S. (2017) · The Wiley Blackwell Handbook of the Psychology of Team Working and Collaborative Processes · doi:10.1002/9781118909997.ch21 · Cited by 26

An exploration of the relationship between emotional intelligence (EI) and the Multiple Mini-Interview (MMI)

Yen, W., Hovey, R., Hodwitz, K., & Zhang, S. (2011) · Advances in Health Sciences Education · doi:10.1007/s10459-010-9241-8 · Cited by 22

Surgery Clerkship Evaluations Are Insufficient for Clinical Skills Appraisal: The Value of a Medical Student Surgical Objective Structured Clinical Examination

Butler, K. L., Hirsh, D. A., Petrusa, E. R., Yeh, D. D., Stearns, D., Sloane, D. E., Linder, J. A., Basu, G., Thompson, L. A., & de Moya, M. A. (2017) · Journal of Surgical Education · doi:10.1016/j.jsurg.2016.08.018 · Cited by 22

The Development and Validation of a Survey for Evaluating Primary Students’ Self-efficacy in STEM Activities

Luo, T., So, W. W. M., Li, W. C., & Yao, J. (2021) · Journal of Science Education and Technology · doi:10.1007/s10956-020-09882-0 · Cited by 22

A signal detection–item response theory model for evaluating neuropsychological measures

Thomas, M. L., Brown, G. G., Gur, R. C., Moore, T. M., Patt, V. M., Risbrough, V. B., & Baker, D. G. (2018) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2018.1427699 · Cited by 22

The Scale of Artificial Intelligence Literacy for all (SAIL4ALL): A Tool for Assessing Knowledge on Artificial Intelligence in All Adult Populations and Settings

Soto-Sanfiel, M. T., Angulo-Brunet, A., & Lutz, C. (2024) · doi:10.31235/osf.io/bvyku · Cited by 20

Exploring the Effectiveness of a Measurement Error Tutorial in Helping Teachers Understand Score Report Results

Zapata-Rivera, D., Zwick, R., & Vezzu, M. (2016) · Educational Assessment · doi:10.1080/10627197.2016.1202110 · Cited by 19

Metacognitive knowledge in children at early elementary school

Haberkorn, K., Lockl, K., Pohl, S., Ebert, S., & Weinert, S. (2014) · Metacognition and Learning · doi:10.1007/s11409-014-9115-1 · Cited by 18

Exploring the psychometric properties of the mind-map scoring rubric

Hua, C., & Wind, S. A. (2019) · Behaviormetrika · doi:10.1007/s41237-018-0062-z · Cited by 18

Pointing teachers in the wrong direction: understanding Louisiana elementary teachers’ use of Compass high-stakes teacher evaluation data

Ford, T. G. (2018) · Educational Assessment, Evaluation and Accountability · doi:10.1007/s11092-018-9280-x · Cited by 17

On the measurement of cognitive abilities in English learners

Ortiz, S. O. (2019) · Contemporary School Psychology · doi:10.1007/s40688-018-0208-8 · Cited by 17

Developing and evaluating the extended epistemic vigilance framework

Bielik, T., & Krell, M. (2025) · Journal of Research in Science Teaching · doi:10.1002/tea.21983 · Cited by 16

Why Do Achievement Measures Underpredict Female Academic Performance?

Mattern, K., Sanchez, E., & Ndum, E. (2017) · Educational Measurement: Issues and Practice · doi:10.1111/emip.12138 · Cited by 15

Can English Learner Teacher Effectiveness Be Observed? Validation of an EL‐Modified Framework for Teaching

Coady, M., Miller, M. D., Jing, Z., Heffington, D., Lopez, M., Olszewska, A., De Jong, E., Yilmaz, T., & Ankeny, R. (2020) · TESOL Quarterly · doi:10.1002/tesq.544 · Cited by 14

Between-Group Mean Differences in Intelligence in the United States Are >0% Genetically Caused: Five Converging Lines of Evidence

Warne, R. T. (2021) · The American Journal of Psychology · doi:10.5406/amerjpsyc.134.4.0479 · Cited by 12

Adult ADHD Self-Report Scale: Comprehensive Psychometric Study in a Spanish SUD Sample

Lozano, Ó. M., Carmona, J., Muñoz-Silva, A., Fernández-Calderón, F., Díaz-Batanero, C., & Sanchez-Garcia, M. (2020) · Journal of Attention Disorders · doi:10.1177/1087054716664410 · Cited by 12

A Critical Analysis of Students’ Cheating in Online Assessment in Higher Education: Post-COVID-19 Issues and Challenges Related to Conversational Artificial Intelligence

Bubaš, G., & Čižmešija, A. (2023) · 2023 46th MIPRO ICT and Electronics Convention (MIPRO) · doi:10.23919/mipro57284.2023.10159826 · Cited by 10

Examining severity and centrality effects in TestDaF writing and speaking assessments: An extended Bayesian many-facet Rasch analysis

Eckes, T., & Jin, K.-Y. (2021) · International Journal of Testing · doi:10.1080/15305058.2021.1963260 · Cited by 10

Assessing the Validity of the Trauma Inventory for Partners of Sex Addicts (TIPSA)

Vogeler, H. A., Fischer, L., Bingham, J. L., Hansen, K. S. W., Heath, M. A., Jackson, A. P., & Skinner, K. B. (2020) · Sexual Addiction & Compulsivity · doi:10.1080/10720162.2020.1772158 · Cited by 8

Age and Gender Invariance in the Taiwan Wechsler Intelligence Scale for Children, Fifth Edition: Higher Order Five-Factor Model

Chen, H., Zhu, J., Liao, Y.-K., & Keith, T. Z. (2020) · Journal of Psychoeducational Assessment · doi:10.1177/0734282920930542 · Cited by 8