| Year |
Citation |
Score |
| 2020 |
van den Bergh D, Bogaerts S, Spreen M, Flohr R, Vandekerckhove J, Batchelder WH, Wagenmakers E. Cultural Consensus Theory for the evaluation of patients’ mental health scores in forensic psychiatric hospitals Journal of Mathematical Psychology. 98: 102383. DOI: 10.1016/J.Jmp.2020.102383 |
0.306 |
|
| 2020 |
Zeigenfuse MD, Batchelder WH, Steyvers M. An item response theory model of matching test performance Journal of Mathematical Psychology. 95: 102327. DOI: 10.1016/J.Jmp.2020.102327 |
0.333 |
|
| 2018 |
France SL, Sharif Vaghefi M, Batchelder WH. FlexCCT: A Methodological Framework and Software for Ratings Analysis and Wisdom of the Crowd Applications Ieee Transactions On Computational Social Systems. 5: 358-370. DOI: 10.1109/Tcss.2018.2798624 |
0.395 |
|
| 2017 |
Anders R, Alario F, Batchelder WH. Consensus Analysis for Populations With Latent Subgroups: Applying Multicultural Consensus Theory and Model-Based Clustering With CCTpack Cross-Cultural Research. 52: 274-308. DOI: 10.1177/1069397117727500 |
0.633 |
|
| 2017 |
Heshmati S, Oravecz Z, Pressman S, Batchelder WH, Muth C, Vandekerckhove J. What does it mean to feel loved: Cultural consensus and individual differences in felt love Journal of Social and Personal Relationships. 36: 214-243. DOI: 10.1177/0265407517724600 |
0.342 |
|
| 2015 |
France SL, Batchelder WH. Maximum Likelihood Item Easiness Models for Test Theory Without an Answer Key. Educational and Psychological Measurement. 75: 57-77. PMID 29795812 DOI: 10.1177/0013164414527448 |
0.499 |
|
| 2015 |
Oravecz Z, Faust K, Batchelder WH, Levitis DA. Studying the Existence and Attributes of Consensus on Psychological Concepts by a Cognitive Psychometric Model. The American Journal of Psychology. 128: 61-75. PMID 26219174 DOI: 10.5406/Amerjpsyc.128.1.0061 |
0.388 |
|
| 2015 |
Alexander GE, Satalich TA, Shankle WR, Batchelder WH. A Cognitive Psychometric Model for the Psychodiagnostic Assessment of Memory-Related Deficits. Psychological Assessment. PMID 26214016 DOI: 10.1037/Pas0000163 |
0.336 |
|
| 2015 |
Oravecz Z, Anders R, Batchelder WH. Hierarchical Bayesian Modeling for Test Theory Without an Answer Key. Psychometrika. 80: 341-64. PMID 24327065 DOI: 10.1007/S11336-013-9379-4 |
0.668 |
|
| 2015 |
Anders R, Batchelder WH. Cultural Consensus Theory for the ordinal data case. Psychometrika. 80: 151-81. PMID 24318769 DOI: 10.1007/S11336-013-9382-9 |
0.665 |
|
| 2015 |
Matzke D, Dolan CV, Batchelder WH, Wagenmakers EJ. Bayesian estimation of multinomial processing tree models with heterogeneity in participants and items. Psychometrika. 80: 205-35. PMID 24277381 DOI: 10.1007/S11336-013-9374-9 |
0.417 |
|
| 2015 |
France SL, Batchelder WH. Maximum Likelihood Item Easiness Models for Test Theory Without an Answer Key Educational and Psychological Measurement. 75: 57-77. DOI: 10.1177/0013164414527448 |
0.407 |
|
| 2015 |
Alexander GE, Batchelder WH, Shankle WR, Petersen RC. P1-223: Characterizing cognitive processes affected by Alzheimer's disease using markov models Alzheimer's & Dementia. 11: P437-P437. DOI: 10.1016/J.Jalz.2015.06.423 |
0.302 |
|
| 2014 |
Oravecz Z, Vandekerckhove J, Batchelder WH. Bayesian Cultural Consensus Theory Field Methods. 26: 207-222. DOI: 10.1177/1525822X13520280 |
0.438 |
|
| 2014 |
Oravecz Z, Faust K, Batchelder WH. An extended cultural consensus theory model to account for cognitive processes in decision making in social surveys Sociological Methodology. 44: 185-228. DOI: 10.1177/0081175014529767 |
0.494 |
|
| 2014 |
Anders R, Oravecz Z, Batchelder WH. Cultural consensus theory for continuous responses: A latent appraisal model for information pooling Journal of Mathematical Psychology. 61: 1-13. DOI: 10.1016/J.Jmp.2014.06.001 |
0.667 |
|
| 2014 |
France SL, Batchelder WH. Unsupervised consensus analysis for on-line review and questionnaire data Information Sciences. 283: 241-257. DOI: 10.1016/J.Ins.2014.06.015 |
0.321 |
|
| 2013 |
Batchelder WH, Alexander GE. Discrete-state models: comment on Pazzaglia, Dube, and Rotello (2013). Psychological Bulletin. 139: 1204-12. PMID 24188419 DOI: 10.1037/A0033894 |
0.442 |
|
| 2012 |
Anders R, Batchelder WH. Cultural consensus theory for multiple consensus truths Journal of Mathematical Psychology. 56: 452-469. DOI: 10.1016/J.Jmp.2013.01.004 |
0.659 |
|
| 2012 |
Batchelder WH, Anders R. Cultural Consensus Theory: Comparing different concepts of cultural truth Journal of Mathematical Psychology. 56: 316-332. DOI: 10.1016/J.Jmp.2012.06.002 |
0.671 |
|
| 2012 |
Agrawal K, Batchelder WH. Cultural consensus theory: Aggregating signed graphs under a balance constraint Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7227: 53-60. DOI: 10.1007/978-3-642-29047-3_7 |
0.316 |
|
| 2011 |
Gosti G, Batchelder WH. Naming on a directed graph Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6589: 358-365. DOI: 10.1007/978-3-642-19656-0_49 |
0.662 |
|
| 2010 |
Batchelder WH. Mathematical psychology. Wiley Interdisciplinary Reviews. Cognitive Science. 1: 759-65. PMID 26271659 DOI: 10.1002/wcs.46 |
0.314 |
|
| 2010 |
Schmittmann VD, Dolan CV, Raijmakers ME, Batchelder WH. Parameter identification in multinomial processing tree models. Behavior Research Methods. 42: 836-46. PMID 20805606 DOI: 10.3758/Brm.42.3.836 |
0.44 |
|
| 2010 |
Wu H, Myung JI, Batchelder WH. Minimum description length model selection of multinomial processing tree models. Psychonomic Bulletin & Review. 17: 275-86. PMID 20551349 DOI: 10.3758/Pbr.17.3.275 |
0.428 |
|
| 2010 |
Wu H, Myung JI, Batchelder WH. On the Minimum Description Length Complexity of Multinomial Processing Tree Models. Journal of Mathematical Psychology. 54: 291-303. PMID 20514139 DOI: 10.1016/J.Jmp.2010.02.001 |
0.39 |
|
| 2010 |
Smith JB, Batchelder WH. Beta-MPT: Multinomial processing tree models for addressing individual differences Journal of Mathematical Psychology. 54: 167-183. DOI: 10.1016/J.Jmp.2009.06.007 |
0.411 |
|
| 2010 |
Batchelder WH, Strashny A, Romney AK. Cultural consensus theory: Aggregating continuous responses in a finite interval Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6007: 98-107. DOI: 10.1007/978-3-642-12079-4_15 |
0.728 |
|
| 2009 |
Batchelder WH, Hu X, Smith JB. Multinomial processing tree models for discrete choice Journal of Psychology. 217: 149-158. DOI: 10.1027/0044-3409.217.3.149 |
0.7 |
|
| 2009 |
Purdy BP, Batchelder WH. A context-free language for binary multinomial processing tree models Journal of Mathematical Psychology. 53: 547-561. DOI: 10.1016/J.Jmp.2009.07.009 |
0.741 |
|
| 2008 |
Smith JB, Batchelder WH. Assessing individual differences in categorical data. Psychonomic Bulletin & Review. 15: 713-31. PMID 18792498 DOI: 10.3758/Pbr.15.4.713 |
0.423 |
|
| 2004 |
Knapp BR, Batchelder WH. Representing parametric order constraints in multi-trial applications of multinomial processing tree models Journal of Mathematical Psychology. 48: 215-229. DOI: 10.1016/J.Jmp.2004.03.002 |
0.749 |
|
| 2003 |
Baldi P, Batchelder WH. Bounds on variances of estimators for multinomial processing tree models Journal of Mathematical Psychology. 47: 467-470. DOI: 10.1016/S0022-2496(03)00036-1 |
0.356 |
|
| 2003 |
Karabatsos G, Batchelder WH. Markov Chain estimation for test theory without an answer key Psychometrika. 68: 373-389. DOI: 10.1007/Bf02294733 |
0.418 |
|
| 2002 |
Riefer DM, Knapp BR, Batchelder WH, Bamber D, Manifold V. Cognitive psychometrics: assessing storage and retrieval deficits in special populations with multinomial processing tree models. Psychological Assessment. 14: 184-201. PMID 12056081 DOI: 10.1037/1040-3590.14.2.184 |
0.729 |
|
| 2000 |
Romney AK, Moore CC, Batchelder WH, Hsia TL. Statistical methods for characterizing similarities and differences between semantic structures Proceedings of the National Academy of Sciences of the United States of America. 97: 518-523. PMID 10618450 DOI: 10.1073/Pnas.97.1.518 |
0.306 |
|
| 1999 |
Batchelder WH, Riefer DM. Theoretical and empirical review of multinomial process tree modeling Psychonomic Bulletin and Review. 6: 57-86. PMID 12199315 DOI: 10.3758/Bf03210812 |
0.471 |
|
| 1999 |
Batchelder WH. Contemporary Mathematical Psychology. Review ofChoice, Decision, and Measurement: Essays in Honor of R. Duncan Luce, by A. A. J. Marley (Ed.) (1997) Journal of Mathematical Psychology. 43: 172-187. DOI: 10.1006/Jmps.1998.1247 |
0.314 |
|
| 1998 |
Batchelder WH. Multinomial processing tree models and psychological assessment Psychological Assessment. 10: 331-344. DOI: 10.1037/1040-3590.10.4.331 |
0.418 |
|
| 1997 |
Batchelder WH, Chosak-Reiter J, Shankle WR, Dick MB. A multinomial modeling analysis of memory deficits in Alzheimer's disease and vascular dementia. The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences. 52: P206-15. PMID 9310089 DOI: 10.1093/Geronb/52B.5.P206 |
0.325 |
|
| 1997 |
Batchelder WH, Kumbasar E, Boyd JP. Consensus analysis of three-way social network data Journal of Mathematical Sociology. 22: 29-58. DOI: 10.1080/0022250X.1997.9990193 |
0.362 |
|
| 1997 |
Batchelder WH, Crowther CS. Multinomial processing tree models of factorial categorization Journal of Mathematical Psychology. 41: 45-55. DOI: 10.1006/Jmps.1997.1146 |
0.373 |
|
| 1996 |
Romney AK, Boyd JP, Moore CC, Batchelder WH, Brazill TJ. Culture as shared cognitive representations Proceedings of the National Academy of Sciences of the United States of America. 93: 4699-4705. PMID 11607678 DOI: 10.1073/Pnas.93.10.4699 |
0.352 |
|
| 1996 |
Klauer KC, Batchelder WH. Structural analysis of subjective categorical data Psychometrika. 61: 199-240. DOI: 10.1007/Bf02294336 |
0.33 |
|
| 1995 |
Crowther CS, Batchelder WH, Hu X. A measurement-theoretic analysis of the fuzzy logic model of perception Psychological Review. 102: 396-408. PMID 7740095 DOI: 10.1037/0033-295X.102.2.396 |
0.681 |
|
| 1995 |
Riefer DM, Batchelder WH. A multinomial modeling analysis of the recognition-failure paradigm Memory &Amp; Cognition. 23: 611-630. PMID 7476247 DOI: 10.3758/Bf03197263 |
0.399 |
|
| 1995 |
Crowther CS, Batchelder WH. Multinomial models of speech perception The Journal of the Acoustical Society of America. 97: 3362-3362. DOI: 10.1121/1.412685 |
0.346 |
|
| 1994 |
Riefer DM, Hu X, Batchelder WH. Response Strategies in Source Monitoring Journal of Experimental Psychology: Learning, Memory, and Cognition. 20: 680-693. DOI: 10.1037/0278-7393.20.3.680 |
0.65 |
|
| 1994 |
Batchelder WH, Riefer DM, Hu X. Measuring Memory Factors in Source Monitoring: Reply to Kinchla Psychological Review. 101: 172-176. DOI: 10.1037//0033-295X.101.1.172 |
0.676 |
|
| 1994 |
Hu X, Batchelder WH. The statistical analysis of general processing tree models with the EM algorithm Psychometrika. 59: 21-47. DOI: 10.1007/Bf02294263 |
0.666 |
|
| 1993 |
Romney AK, Brewer DD, Batchelder WH. Predicting Clustering From Semantic Structure Psychological Science. 4: 28-34. DOI: 10.1111/J.1467-9280.1993.Tb00552.X |
0.319 |
|
| 1993 |
Indow T, Batchelder W. Teaching the Axiomatic Approach to Formal Psychology. Review of Quantitative Psychology, by Jan Drüsler. Journal of Mathematical Psychology. 37: 111-118. DOI: 10.1006/Jmps.1993.1006 |
0.314 |
|
| 1991 |
Riefer DM, Batchelder WH. Age differences in storage and retrieval: A multinomial modeling analysis Bulletin of the Psychonomic Society. 29: 415-418. DOI: 10.3758/Bf03333957 |
0.356 |
|
| 1990 |
Batchelder WH, Riefer DM. Multinomial processing models of source monitoring Psychological Review. 97: 548-564. DOI: 10.1037/0033-295X.97.4.548 |
0.433 |
|
| 1988 |
Riefer DM, Batchelder WH. Multinomial Modeling and the Measurement of Cognitive Processes Psychological Review. 95: 318-339. DOI: 10.1037/0033-295X.95.3.318 |
0.435 |
|
| 1988 |
Batchelder WH, Romney AK. Test theory without an answer key Psychometrika. 53: 71-92. DOI: 10.1007/Bf02294195 |
0.431 |
|
| 1987 |
Romney AK, Batchelder WH, Weller SC. Recent Applications of Cultural Consensus Theory American Behavioral Scientist. 31: 163-177. DOI: 10.1177/000276487031002003 |
0.339 |
|
| 1986 |
Romney AK, Weller SC, Batchelder WH. Culture as Consensus: A Theory of Culture and Informant Accuracy American Anthropologist. 88: 313-338. DOI: 10.1525/Aa.1986.88.2.02A00020 |
0.37 |
|
| 1986 |
Batchelder WH, Riefer DM. The statistical analysis of a model for storage and retrieval processes in human memory British Journal of Mathematical and Statistical Psychology. 39: 129-149. DOI: 10.1111/J.2044-8317.1986.Tb00852.X |
0.333 |
|
| 1985 |
Batchelder WH, Boyd JP. Models for behavior: Stochastic processes in psychology Journal of Mathematical Psychology. 29: 122-127. DOI: 10.1016/0022-2496(85)90022-7 |
0.334 |
|
| 1981 |
Lefebvre VA, Batchelder WH. The nature of Soviet mathematical psychology Journal of Mathematical Psychology. 23: 153-183. DOI: 10.1016/0022-2496(81)90055-9 |
0.347 |
|
| 1980 |
Batchelder WH, Riefer DM. Separation of storage and retrieval factors in free recall of clusterable pairs Psychological Review. 87: 375-397. DOI: 10.1037/0033-295X.87.4.375 |
0.303 |
|
| 1979 |
Batchelder WH, Bershad NJ. The statistical analysis of a thurstonian model for rating chess players Journal of Mathematical Psychology. 19: 39-60. DOI: 10.1016/0022-2496(79)90004-X |
0.377 |
|
| 1975 |
Batchelder WH. Individual differences and the all-or-none vs incremental learning controversy Journal of Mathematical Psychology. 12: 53-74. DOI: 10.1016/0022-2496(75)90049-8 |
0.322 |
|
| 1971 |
Batchelder WH. A theoretical and empirical comparison of the all-or-none multilevel theory and the mixed model Journal of Mathematical Psychology. 8: 82-108. DOI: 10.1016/0022-2496(71)90024-1 |
0.309 |
|
| 1969 |
Nelson TO, Batchelder WH. Forgetting in short-term recall: All-or-none or decremental? Journal of Experimental Psychology. 82: 96-106. DOI: 10.1037/h0028048 |
0.471 |
|
| 1968 |
Lee W, Atkinson RC, Bower GH, Crothers EJ, Batchelder WH, Bjork RA, Yellott JI. An Introduction to Mathematical Learning Theory. Journal of the American Statistical Association. 63: 370. DOI: 10.2307/1420401 |
0.704 |
|
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