The DOI matches its Crossref record; 170 of the 170 references it cites were found in a registry or an index.
A conceptual and psychometric framework for distinguishing categories and dimensions
Abstract
An important, sometimes controversial feature of all psychological phenomena is whether they are categorical or dimensional. A conceptual and psychometric framework is described for distinguishing whether the latent structure behind manifest categories (e.g., psychiatric diagnoses, attitude groups, or stages of development) is category-like or dimension-like. Being dimension-like requires (a) within-category heterogeneity and (b) between-category quantitative differences. Being category-like requires (a) within-category homogeneity and (b) between-category qualitative differences. The relation between this classification and abrupt versus smooth differences is discussed. Hybrid structures are possible. Being category-like is itself a matter of degree; the authors offer a formalized framework to determine this degree. Empirical applications to personality disorders, attitudes toward capital punishment, and stages of cognitive development illustrate the approach.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“Dimensional approaches generally aim for within-category heterogeneity and between-category quantitative differences (De Boeck et al., 2005), goals that can also be challenging for SA/A (Heyne et al., 2019).”
From Reconciling Contemporary Approaches to School Attendance and School Absenteeism: Toward Promotion and Nimble Response, Global Policy Review and Implementation, and Future Adaptability (Part 1) (2019) · cites this paper as De Boeck et al., 2005
The cited source says what the claim attributes to it.
In the citing paper
“Categorical approaches broadly aim for within-category homogeneity and between-category qualitative differences (De Boeck et al., 2005), goals that have been somewhat elusive for SA/A (DiBartolo and Braun, 2017).”
From Reconciling Contemporary Approaches to School Attendance and School Absenteeism: Toward Promotion and Nimble Response, Global Policy Review and Implementation, and Future Adaptability (Part 1) (2019) · cites this paper as De Boeck et al., 2005
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Diagnostic and Statistical Manual of Mental Disorders
Williams, J. B. W., & First, M. B. (2013) · Oxford University Press eBooks · doi:10.1093/acrefore/9780199975839.013.104 · Cited by 109,845
Estimating the Dimension of a Model
Schwarz, G. (1978) · The Annals of Statistics · doi:10.1214/aos/1176344136 · Cited by 47,033
An Introduction to the Bootstrap
Efron, B., & Tibshirani, R. J. (1994) · doi:10.1201/9780429246593 · Cited by 40,500
An Introduction to the Bootstrap
Efron, B., & Tibshirani, R. J. (1993) · doi:10.1007/978-1-4899-4541-9 · Cited by 21,230
Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences
Cohen, P., Cohen, P., West, S. G., & Aiken, L. S. (2014) · Psychology Press eBooks · doi:10.4324/9781410606266 · Cited by 20,870
Information Theory and an Extension of the Maximum Likelihood Principle
Akaike, H. (1998) · Springer series in statistics · doi:10.1007/978-1-4612-1694-0_15 · Cited by 18,636
Women, Fire, and Dangerous Things
Lakoff, G. P. (1987) · University of Chicago Press eBooks · doi:10.7208/chicago/9780226471013.001.0001 · Cited by 13,358
Ambrose, A., Wittgenstein, L., & Anscombe, G. E. M. (1954) · Philosophy and Phenomenological Research · doi:10.2307/2103745 · Cited by 12,289
Rozeboom, W. W., Lord, F. M., Novick, M. R., & Birnbaum, A. (1969) · American Educational Research Journal · doi:10.2307/1162101 · Cited by 8,012
Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences.
Henry, N. W., Cohen, J., & Cohen, P. R. (1977) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2064799 · Cited by 7,242
Research works printed but not linked: 9
- Birnbaum, 1968, Some latent trait models., 397
- Eagly, 1993, The psychology of attitudes.
- 10.1037/0021-843X.104.3.411 · DOI
- Meehl, 1973, MAXCOV-HITMAX: A taxonomic search method for loose genetic syndromes., 200
- Meehl, 1982, Taxometric methods., 127
- Thissen, 1997, MULTILOG
- 10.1037/0021-843X.99.1.40 · DOI
- Verhelst, 1994, OPLM
- Wu, 1998, ACER Conquest: Generalized item response modelling software
Cited by
Sorted by citations
Item Response Theory and Clinical Measurement
Reise, S. P., & Waller, N. G. (2008) · Annual Review of Clinical Psychology · doi:10.1146/annurev.clinpsy.032408.153553 · Cited by 722
“In either case, these issues do raise the possibility that clinical syndromes may not represent quantitative variables as traditionally defined (De Boeck et al. 2005).”
BackgroundHaslam, N., Holland, E., & Kuppens, P. (2012) · Psychological Medicine · doi:10.1017/s0033291711001966 · Cited by 611
“Taxometrics is not the only form of data analysis that can test between categorical and dimensional models of latent variables, and sophisticated alternatives exist (McLachlan & Peel, 2000 ; De Boeck et al. 2005 ; Markon & Krueger, 2006).”
BackgroundMarkon, K. E., Chmielewski, M., & Miller, C. J. (2011) · Psychological Bulletin · doi:10.1037/a0023678 · Cited by 656
Toward a formalized account of attitudes: The Causal Attitude Network (CAN) model.
Dalege, J., Borsboom, D., van Harreveld, F., van den Berg, H., Conner, M. T., & van der Maas, H. L. J. (2015) · Psychological Review · doi:10.1037/a0039802 · Cited by 411
Measuring progressions: Assessment structures underlying a learning progression
Wilson, M. R. (2009) · Journal of Research in Science Teaching · doi:10.1002/tea.20318 · Cited by 343
Self-citationMorin, A. J. S., & Marsh, H. W. (2014) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705511.2014.919825 · Cited by 328
de Boeck, P. A. L. (2008) · Psychometrika · doi:10.1007/s11336-008-9092-x · Cited by 273
“On the other hand, one may wonder whether DIF does not lose its meaning if the majority of items shows DIF, because then it is no longer a disturbance, but the major phenomenon, so that it must be concluded that the difference between the groups is really of a qualitative kind ( De Boeck, Wilson, & Acton, 2005 ), and…”
BackgroundShould substance use disorders be considered as categorical or dimensional?
Muthén, B. (2006) · Addiction · doi:10.1111/j.1360-0443.2006.01583.x · Cited by 267
“see Wilson [29], Heinen [30], Vermunt [31] and Formann & Kohlman [32]; with mental health applications in De Boeck, Wilson & Acton [ 3 ] and Krueger et al . [33].”
BackgroundBorsboom, D. (2008) · Measurement Interdisciplinary Research and Perspectives · doi:10.1080/15366360802035497 · Cited by 232
“Now, there exist some papers on the problem of distinguishing between different latent variable structures ( Molenaar & Von Eye, 1994; De Boeck, Wilson, & Acton, 2005 ; Waller & Meehl, 1998 ; Maraun, Slaney, & Goddyn, 2003 ), but these represent relatively isolated efforts by methodologists and do not play a part in a…”
BackgroundEmons, W. H. M., Meijer, R. R., & Denollet, J. (2007) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2007.03.010 · Cited by 219
“Differences in test and item characteristics between populations may point at substantive qualitative differences [16] in distressed typeD personality that need further exploration.”
BackgroundMen and women are from Earth: examining the latent structure of gender.
Carothers, B., & Reis, H. (2013) · Journal of Personality and Social Psychology · doi:10.1037/a0030437 · Cited by 218
Is Psychometrics Pathological Science?
Michell, J. (2008) · Measurement Interdisciplinary Research and Perspectives · doi:10.1080/15366360802035489 · Cited by 195
Person-centered methods in vocational research
Hofmans, J., Wille, B., & Schreurs, B. H. J. (2020) · Journal of Vocational Behavior · doi:10.1016/j.jvb.2020.103398 · Cited by 186
Network Models for Cognitive Development and Intelligence
van der Maas, H. L. J., Kan, K., Marsman, M., & Stevenson, C. E. (2017) · Journal of Intelligence · doi:10.3390/jintelligence5020016 · Cited by 172
“Author Contributions: Han van der Maas conceived the mutualism model of general intelligence; Kees-Jan Kan performed further investigations of this model and its extensions; Maarten Marsman and Claire Stevenson”
Borsboom, D., Rhemtulla, M., Cramer, A. O. J., van der Maas, H. L. J., Scheffer, M., & Dolan, C. V. (2016) · Psychological Medicine · doi:10.1017/s0033291715001944 · Cited by 168
Investigating the “Flow” Experience: Key Conceptual and Operational Issues
Abuhamdeh, S. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.00158 · Cited by 198
Road Maps for Learning: A Guide to the Navigation of Learning Progressions
Black, P., Wilson, M. R., & Yao, S.-Y. (2011) · Measurement Interdisciplinary Research and Perspectives · doi:10.1080/15366367.2011.591654 · Cited by 142
Self-citationSavani, K., Markus, H. R., Naidu, N. V. R., Kumar, S., & Berlia, N. V. (2010) · Psychological Science · doi:10.1177/0956797609359908 · Cited by 141
Kearney, C. A., Gonzálvez, C., Graczyk, P. A., & Fornander, M. J. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.02222 · Cited by 130
“Dimensional approaches generally aim for within-category heterogeneity and betweencategory quantitative differences (De Boeck et al., 2005), goals that can also be challenging for SA/A (Heyne et al., 2019).”
The Rasch Rating Model and the Disordered Threshold Controversy
Adams, R. J., Wu, M., & Wilson, M. R. (2012) · Educational and Psychological Measurement · doi:10.1177/0013164411432166 · Cited by 139
Self-citationPiper, M. E., Bolt, D. M., Kim, S., Japuntich, S. J., Smith, S. S., Niederdeppe, J., Cannon, D. S., & Baker, T. B. (2008) · Journal of Abnormal Psychology · doi:10.1037/a0013298 · Cited by 121
“Moreover, as Haslam and Kim (2002, p. 311) noted, “matters of kind and matters of degree, itself [might] be a matter of degree” (see De Boeck et al., 2005).”
BackgroundPerson-Centered Modeling: Techniques for Studying Associations Between People Rather than Variables
Woo, S. E., Hofmans, J., Wille, B., & Tay, L. (2023) · Annual Review of Organizational Psychology and Organizational Behavior · doi:10.1146/annurev-orgpsych-110721-045646 · Cited by 142
Silvia, P. J., & Kimbrel, N. A. (2010) · Psychology of Aesthetics Creativity and the Arts · doi:10.1037/a0016494 · Cited by 108
Assessing patterns of adult attachment in medical patients
Maunder, R., & Hunter, J. (2008) · General Hospital Psychiatry · doi:10.1016/j.genhosppsych.2008.10.007 · Cited by 101
“Importantly, the individual identifying characteristics of a prototype are neither necessary nor sufficient conditions for classification [75].”
Physicians’ difficulty with emergency department patients is related to patients’ attachment style
Maunder, R., Panzer, A., Viljoen, M., Owen, J. H., Human, S. W., & Hunter, J. (2006) · Social Science & Medicine · doi:10.1016/j.socscimed.2006.01.001 · Cited by 97
Hallquist, M. N., & Wright, A. G. C. (2013) · Journal of Personality Assessment · doi:10.1080/00223891.2013.845201 · Cited by 100
Masyn, K. E., Henderson, C. E., & Greenbaum, P. E. (2010) · Social Development · doi:10.1111/j.1467-9507.2009.00573.x · Cited by 93
“Notice that with the overlap of the two normal distributions in Plot A of Figure 3, the two classes do not represent distinct groups of individuals, quantitatively or qualitatively (referred to by De Boeck et al., 2005, as ‘smooth’ differences).”
BackgroundInfluentialThe burden of social proof: Shared thresholds and social influence
MacCoun, R. J. (2012) · Psychological Review · doi:10.1037/a0027121 · Cited by 84
Categories and Dimensions: Advancing Psychological Science Through the Study of Latent Structure
Ruscio, J., & Ruscio, A. M. (2008) · Current Directions in Psychological Science · doi:10.1111/j.1467-8721.2008.00575.x · Cited by 78
Model Selection Indices for Polytomous Items
Kang, T., Cohen, A. S., & Sung, H.-J. (2009) · Applied Psychological Measurement · doi:10.1177/0146621608327800 · Cited by 79
Explanatory item response modeling of children's change on a dynamic test of analogical reasoning
Stevenson, C. E., Hickendorff, M., Resing, W. C. M., Heiser, W. J., & de Boeck, P. A. L. (2013) · Intelligence · doi:10.1016/j.intell.2013.01.003 · Cited by 74
Constructs, inferences, and mental measurement
Michell, J. (2011) · New Ideas in Psychology · doi:10.1016/j.newideapsych.2011.02.004 · Cited by 68
Cognitive adequacy in structural-functional theories of language
Butler, C. S. (2007) · Language Sciences · doi:10.1016/j.langsci.2007.01.006 · Cited by 63
Validating a Learning Progression in Mathematical Functions for College Readiness
Wilmot, D. B., Schoenfeld, A. H., Wilson, M. R., Champney, D., & Zahner, W. C. (2011) · Mathematical Thinking and Learning · doi:10.1080/10986065.2011.608344 · Cited by 66
Self-citationPaek, I., & Wilson, M. R. (2011) · Educational and Psychological Measurement · doi:10.1177/0013164411400734 · Cited by 69
Self-citationVermunt, J. K. (2011) · Psychological Methods · doi:10.1037/a0020144 · Cited by 59
Kearney, C. A. (2021) · Child & Youth Care Forum · doi:10.1007/s10566-020-09591-0 · Cited by 51
Alfred Binet and the concept of heterogeneous orders
Michell, J. (2012) · Frontiers in Psychology · doi:10.3389/fpsyg.2012.00261 · Cited by 51
“13This was the position later adopted in psychometrics, where it is held that attributes are either categories or continua, e.g., Cronbach and Meehl (1955), Loevinger (1957), Meehl (1992), and De Boeck et al. (2005).”
BackgroundFor Whom Money Matters Less: Social Connectedness as a Resilience Resource in the UK
Richards, L. (2015) · Social Indicators Research · doi:10.1007/s11205-014-0858-5 · Cited by 54
“This is what De Boeck et al. (2005) call an ‘abrupt difference’ which represents a discontinuity despite the linearity implied by the measurement scale.”
BackgroundModeling synergy: How to assess a Type D personality effect
Lodder, P. (2020) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2020.109990 · Cited by 48
Explanatory Secondary Dimension Modeling of Latent Differential Item Functioning
de Boeck, P. A. L., Cho, S., & Wilson, M. R. (2011) · Applied Psychological Measurement · doi:10.1177/0146621611428446 · Cited by 51
Self-citationAn Application of Explanatory Item Response Modeling for Model-Based Proficiency Scaling
Hartig, J., Frey, A., Nold, G., & Klieme, E. (2011) · Educational and Psychological Measurement · doi:10.1177/0013164411430707 · Cited by 47
Kearney, C. A., & Gonzálvez, C. (2022) · Frontiers in Education · doi:10.3389/feduc.2022.977672 · Cited by 54
Acton, G. S., KUNZ, J. D., Wilson, M. R., & Hall, S. M. (2005) · Psychological Medicine · doi:10.1017/s0033291704003083 · Cited by 38
“…the dimensionality of MDD has previously been suggested by indirect and direct methods (Flett et al. 1997; Ruscio & Ruscio, 2000; see also De Boeck et al. 2005), and IRT analyses of depression measures have been performed (Orlando et al. 2000), an IRTbased measure of internalization that is…”
MethodSelf-citationder Vossen, M. M., van Mook, W., Kors, J., van Wieringen, W. N., Peerdeman, S. M., Croiset, G., & Kusurkar, R. A. (2016) · Academic Medicine · doi:10.1097/acm.0000000000001206 · Cited by 38
Growth charts of human development
van Buuren, S. (2013) · Statistical Methods in Medical Research · doi:10.1177/0962280212473300 · Cited by 37
“Thus, this study deals with the situation where the measurements are categorical and where the latent variables are continuous, or ‘dimension-like’.(13) The methodology for connecting discrete measurements to a latent continuum is known as latent trait analysis, or item response theory.”
Seeking a Balance Between the Statistical and Scientific Elements in Psychometrics
Wilson, M. R. (2013) · Psychometrika · doi:10.1007/s11336-013-9327-3 · Cited by 37
Self-citationSpurious Latent Classes in the Mixture Rasch Model
Alexeev, N., Templin, J. L., & Cohen, A. S. (2011) · Journal of Educational Measurement · doi:10.1111/j.1745-3984.2011.00146.x · Cited by 34
Taxometrics, polytomous constructs, and the comparison curve fit index: A Monte Carlo analysis.
Walters, G. D., McGrath, R. E., & Knight, R. A. (2010) · Psychological Assessment · doi:10.1037/a0017819 · Cited by 34
“Second, polytomous constructs could produce categorylike taxometric results (De Boeck et al., 2005) given the taxometric procedure’s sensitivity to taxonic boundaries, even when there is more than one. Finally, polytomous constructs could produce ambiguous taxometric results to the extent that they fit neither the tax…”
BackgroundMethodInfluentialWalters, G. D., Diamond, P. M., Magaletta, P. R., Geyer, M. D., & Duncan, S. A. (2007) · Assessment · doi:10.1177/1073191107304353 · Cited by 33
Slade, T. N., Grove, R., & Teesson, M. (2009) · Addiction · doi:10.1111/j.1360-0443.2009.02498.x · Cited by 32
Latent Transition Analysis With a Mixture Item Response Theory Measurement Model
Cho, S., Cohen, A. S., Kim, S., & Bottge, B. A. (2010) · Applied Psychological Measurement · doi:10.1177/0146621610362978 · Cited by 31
Kam, C. C. S., & Zhou, M. (2016) · PLoS ONE · doi:10.1371/journal.pone.0161628 · Cited by 30
Vansteelandt, K., & Mechelen, I. V. (2003) · Journal of Research in Personality · doi:10.1016/j.jrp.2003.08.001 · Cited by 30
Gonzálvez, C., Díaz-Herrero, Á., Sanmartín, R., Vicent, M., Fernández‐Sogorb, A., & García-Fernández, J. M. (2020) · Frontiers in Public Health · doi:10.3389/fpubh.2020.598915 · Cited by 29
“Categorical approaches have tried to differentiate between different types of SAPs, advocating homogeneity within a category and qualitative differences between categories (14).”
BackgroundJi, Y., Wang, G.-J., Zhang, Q., & Zhu, Z. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.08.011 · Cited by 33
Classification of Psychopathology
Acton, G., & Zodda, J. J. (2005) · Theory & Psychology · doi:10.1177/0959354305053220 · Cited by 25
“If the arguments in this article are correct, then a dimensional approach based simply on methodological fiat would be no better (and no worse) than the present categorical approach, which itself is based on methodological fiat (De Boeck et al., 2005).”
BackgroundMethodInfluentialSelf-citationVansteelandt, K., & Mechelen, I. V. (2006) · Journal of Personality · doi:10.1111/j.1467-6494.2006.00395.x · Cited by 28
“Secondly, the TTM we proposed is a typological approach to the study of personality; as such, it touches upon the discussion of typologies versus dimensions in the personality domain ( De Boeck, Wilson, & Acton, 2005; Gangestad & Snyder, 1985; Haslam & Kim, 2002; Meehl, 1992).”
MethodA model and its fit lie in the eye of the beholder: Long live the sum score
Edelsbrunner, P. A. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.986767 · Cited by 25
Stamovlasis, D., Papageorgiou, G. J., Tsitsipis, G., Tsikalas, T., & Vaiopoulou, J. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.00532 · Cited by 26
“(Waller and Meehl, 1998; De Boeck et al., 2005; Schmitt et al., 2006; Lubke and Miller, 2015).”
Formulation and Application of the Generalized Multilevel Facets Model
Wang, W., & Liu, C. (2007) · Educational and Psychological Measurement · doi:10.1177/0013164406296974 · Cited by 22
On the Relationship Between Differential Item Functioning and Item Difficulty
Santelices, M. V., & Wilson, M. R. (2011) · Educational and Psychological Measurement · doi:10.1177/0013164411412943 · Cited by 22
Self-citationZhao, X., Boersma, K., Gerdle, B. U. C., Molander, P., & Hesser, H. (2023) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2023.111176 · Cited by 28
“Since our analysis held a categorical view about pain extent [42], some spurious edges could be formed since pain extent itself is related to the network nodes [54].”
BackgroundCombining the categorical and the dimensional perspective in a diagnostic map of psychotic disorders
Läge, D., Egli, S., Riedel, M. J., Strauß, A., & Möller, H. (2010) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-010-0125-y · Cited by 20
“[9, 13, 40].”
BackgroundImproving assessment evidence in e-learning products: some solutions for reliability
Scalise, K., Madhyastha, T. M., Minstrell, J., & Wilson, M. R. (2010) · International Journal of Learning Technology · doi:10.1504/ijlt.2010.034549 · Cited by 18
Self-citationBoundaries of mental disorders
Jablensky, A. V. (2005) · Current Opinion in Psychiatry · doi:10.1097/01.yco.0000184412.98587.a4 · Cited by 20
Factorial Versus Typological Models: A Comparison of Methods for Personality Data
von Davier, M., Naemi, B., & Roberts, R. D. (2012) · Measurement Interdisciplinary Research and Perspectives · doi:10.1080/15366367.2012.732798 · Cited by 17
“The conceptual and psychometric framework to distinguish between typological and factorial variables of De Boeck et al. (2005) provides examples of how to go about these types of investigations.”
BackgroundCho, S., Cohen, A. S., & Bottge, B. A. (2013) · Psychometrika · doi:10.1007/s11336-012-9314-0 · Cited by 16
Läge, D., Egli, S., Riedel, M. J., & Möller, H. (2011) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-011-0271-x · Cited by 16
The role of mathematical models in measurement: a perspective from psychometrics
Wilson, M. R. (2011) · Common Library Network (Der Gemeinsame Bibliotheksverbund) · Cited by 16
Self-citationA Parsimonious Explanation of the Resilient, Undercontrolled, and Overcontrolled Personality Types
Rosenström, T. H., & Jokela, M. M. (2017) · European Journal of Personality · doi:10.1002/per.2117 · Cited by 16
Creating a map of psychiatric patients based on psychopathological symptom profiles
Egli, S., Riedel, M. J., Möller, H., Strauß, A., & Läge, D. (2009) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-008-0848-1 · Cited by 15
The acquisition of inductive constraints
Tenenbaum, J. B., & Kemp, C. (2008) · Cited by 15
Diagnosis and Revision of the Classification Systems
Jablensky, A. V. (2011) · Wiley eBooks · doi:10.1002/9780470978672.ch1 · Cited by 15
“Moreover, categorical and dimensional models need not be mutually exclusive, as demonstrated by so-called mixed or class-quantitative models [76] which combine qualitative categories with quantitative trait measurements.”
BackgroundWang, W., & Jin, K. (2009) · Applied Psychological Measurement · doi:10.1177/0146621608329505 · Cited by 14
The latent structure of depression symptoms and suicidal thoughts in Brazilian youths
Baptista, M. N., Cunha, F. A., & Filho, N. H. (2019) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.05.024 · Cited by 13
Scheres, A., & Hamaker, E. L. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.05.021 · Cited by 13
Smits, N. (2015) · Quality of Life Research · doi:10.1007/s11136-015-1199-9 · Cited by 12
“, [23, 24]), but there are two that dominate the literature, which will be used in the simulation.”
BackgroundChoi, I.-H., & Wilson, M. R. (2014) · Educational and Psychological Measurement · doi:10.1177/0013164414522124 · Cited by 12
Self-citationAdroher, N. D., Prodinger, B., Fellinghauer, C. S., & Tennant, A. (2018) · PLoS ONE · doi:10.1371/journal.pone.0193861 · Cited by 12
A Structure-Based Expert Model of the ICD-10 Mental Disorders
Egli, S., Schlatter, K., Streule, R., & Läge, D. (2005) · Psychopathology · doi:10.1159/000089657 · Cited by 10
McIntyre, H. H. (2011) · Personality and Individual Differences · doi:10.1016/j.paid.2010.12.001 · Cited by 9
Puzzling with potential : dynamic testing of analogical reasoning in children
Stevenson, C. E. (2008) · Leiden Repository (Leiden University) · Cited by 9
Affective evaluation and cognitive structure of respiratory sensations in healthy individuals
Petersen, S., Morenings, M., von Leupoldt, A., & Ritz, T. (2009) · British Journal of Health Psychology · doi:10.1348/135910709x412800 · Cited by 8
Kim, E., & von der Embse, N. P. (2020) · Educational and Psychological Measurement · doi:10.1177/0013164420973722 · Cited by 8
“De Boeck et al. (2005) noted that when measurement invariance holds between categories, the categories are on the same dimension (unidimensional) in the latent space and they are different only quantitatively (based on factor means).”
BackgroundMethodInfluentialStructured Constructs Models Based on Change‐Point Analysis
Shin, H. J., Wilson, M. R., & Choi, I. (2017) · Journal of Educational Measurement · doi:10.1111/jedm.12146 · Cited by 7
Self-citationAn affective space view on depression and anxiety
Xu, M. L., de Boeck, P. A. L., & Strunk, D. R. (2018) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.1747 · Cited by 6
Zimmermann, J., Wendt, L. P., Edelhoff, H., Wierzba, E., Fleck, L., Cicero, D. C., & Reininghaus, U. (2024) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/dc8u6 · Cited by 7
Crossing the Threshold: An Epigenetic Alternative to Dimensional Accounts of Mental Disorders
Serpico, D., & Petrolini, V. (2023) · The British Journal for the Philosophy of Science · doi:10.1086/725188 · Cited by 8
Fact or artefact: an item response theory analysis of median split based repressor classification.
Gebhardt, C., Rose, N., & Mitte, K. (2014) · British Journal of Health Psychology · doi:10.1111/bjhp.12029 · Cited by 7
Muthén, B. (2007) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-60752-634-620251002 · Cited by 6
Choosing a Polytomous IRT Model using Bayesian Model Selection Methods
Sung, H. J., & Kang, T. (2006) · Cited by 6
A multilevel mixture IRT model for DIF analysis
Cho, S. (2007) · Cited by 6
Hesser, H., & Andersson, G. (2013) · International Journal of Behavioral Medicine · doi:10.1007/s12529-013-9375-1 · Cited by 5
“Although this has been investigated and debated extensively in other areas, such as in psychology and psychiatry [7, 8], this is, to our knowledge, the first study to address this issue with regard to tinnitus severity.”
BackgroundA valid and reliable measure of nothing: disentangling the “Gavagai effect” in survey data
Arias, V. B., Ponce, F. P., Bruggeman, M., Flores, N., & Río, C. J. (2020) · PeerJ · doi:10.7717/peerj.10209 · Cited by 5
Measuring Mastery Across Grades: An Application to Spelling Ability
Nijlen, D. V., & Janssen, R. (2011) · Applied Measurement in Education · doi:10.1080/08957347.2011.607064 · Cited by 5
“The distinction between quantitative and qualitative differences ( De Boeck, Wilson, & Acton, 2005 ) can be clarified as follows: quantitative differences imply that students differ by a degree of something identical (the latent dimension is the same; “more of the same”).”
BackgroundPerson-Centered Modeling: Techniques for Studying Associations Between People Rather Than VariablesPreprint
Woo, S. E., Hofmans, J., Wille, B., & Tay, L. (2023) · doi:10.31234/osf.io/gjvy2 · Cited by 5
Some Comments on Representing Construct Levels in Psychometric Models
Diakow, R., Irribarra, D. T., & Wilson, M. R. (2013) · Springer proceedings in mathematics & statistics · doi:10.1007/978-1-4614-9348-8_20 · Cited by 4
Self-citationCategories, Dimensions, and Narratives for Person-Centered Diagnostic Assessment
Botbol, M., Banzato, C. E. M., & Salvador‐Carulla, L. (2016) · Springer eBooks · doi:10.1007/978-3-319-39724-5_15 · Cited by 3
Selection Between Linear Factor Models and Latent Profile Models Using Conditional Covariances
Halpin, P. F., & Maraun, M. D. (2010) · Multivariate Behavioral Research · doi:10.1080/00273171.2010.532361 · Cited by 3
Metadata
- Authors
- De Boeck, P., Wilson, M., & Acton, G. S.
- ORCID
- Wilson, Mark
- Venue
- Psychological Review
- Published
- 2005
- Volume
- 112
- Issue
- 1
- Pages
- 129-158
- ISSN
- 0033-295X (ISSN-L)
- 1939-1471
- OpenAlex
- W2149002740
- Cited by
- 131
- References
- 155
- Citations by year
- 2025: 6 · 2024: 2 · 2023: 5 · 2022: 4 · 2021: 2 · 2020: 6 · 2019: 2 · 2018: 3 · 2017: 3 · 2016: 4 · 2015: 7 · 2014: 4 · 2013: 11 · 2012: 6
- FWCI
- 15.27
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychological Review (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (1f32da014739-01)
- National Institute on Drug Abuse (P50DA009253, F32-DA14739)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Categorization, perception, and language
- Keywords
- latent structure, hybrid structures, psychiatric diagnosis, personality disorders, attitudes toward capital punishment, cognitive development stages
- MeSH terms
- Capital Punishment, Cognition, Humans, Models, Psychological, Psychology, Psychometrics
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
