Taxometric Procedures Research Articles

A taxometric analysis of panic disorder

ABSTRACT Panic disorder is costly, and while evidence-based interventions for panic disorder are effective, obtaining a diagnosis often precludes access to such treatments. This is problematic because the categorical diagnosis of panic disorder (i.e. “you have it, or you don’t”) supported by modern diagnostic manuals contradicts empirically supported dimensional models of panic disorder. Taxometric analyses, which test the dimensional or categorical latent structure of constructs, have consistently revealed dimensional latent structures when applied to other anxiety disorders and panic-related processes, but taxometric analyses have never been applied to panic disorder. To address this gap in the literature, three nonredundant taxometric procedures were applied to seven theoretically-relevant indicators of panic disorder derived from Panic Disorder Severity Scale data collected from 663 participants recruited via Amazon Mechanical Turk. Simulated comparison plots and objective fit indices were also evaluated. The collective results provided consistent empirical support for a dimensional model of panic disorder, with an overall mean CCFI score of .39. The implications of the present findings for the measurement, assessment, diagnosis, and treatment of panic disorder are discussed.

A taxometric analysis of developmental prosopagnosia: Evidence for a categorically distinct impairment

Poor performance on cognitive assessment tasks may indicate a selective ‘impairment’. However, it is unclear whether such difficulties separate the individual from the general population qualitatively (i.e., they form a discrete group) or quantitatively (i.e., they represent the lower end of a continuous distribution). Taxometric methods address this question but have rarely been applied to cognitive disorders. This study examined the latent structure of developmental prosopagnosia (DP) – a relatively selective deficit in face recognition that occurs in the absence of neurological injury. Multiple taxometric procedures were applied to dominant diagnostic indices of face recognition ability across two independent datasets. All analyses supported a categorical outcome, even for mild cases of DP, suggesting that it is a qualitatively distinct condition. This finding has significant implications for our understanding of DP given it has traditionally been viewed as a continuous impairment. In particular, existing (arbitrary) diagnostic cut-offs may be too conservative, underestimating prevalence rates and prohibiting big-data approaches to theoretical study. More broadly, these conclusions support application of the taxometric method to many other cognitive processes where weaknesses are predominantly assumed to reside on a continuous distribution.

Are body dysmorphic symptoms dimensional or categorical in nature? A taxometric investigation in adolescents

Body dysmorphic disorder (BDD) is a debilitating mental health condition which usually emerges during adolescence and is characterised by distressing and impairing appearance concerns. It is currently unclear whether body dysmorphic concerns represent an extreme manifestation of normal appearance concerns (a dimensional conceptualisation), or whether they are qualitatively distinct (a categorical conceptualisation). This study aimed to determine whether body dysmorphic symptoms are dimensional or categorical in nature by investigating the latent structure using taxometric procedures. Body dysmorphic symptoms were assessed using validated measures among 11-16-year-old school pupils (N=707). Items of the Body Image Questionnaire Child and Adolescent version were used to construct four indicators that broadly corresponded to the DSM-5 diagnostic criteria for BDD (appearance concerns, repetitive behaviours, impairment, and insight). Indicators were submitted to three non-redundant taxometric procedures (MAMBAC, MAXEIG and L-MODE). Overall, results of all three taxometric procedures indicated a dimensional latent structure of body dysmorphic symptoms. The current study provides preliminary evidence that body dysmorphic symptoms are continuously distributed among adolescents, with no evidence of qualitative differences between mild and severe symptoms. Implications for clinical practice and research are discussed.

Latent structure of psychotic-like experiences in adolescents: Evidence from a multi-method taxometric study of a school-based sample in Ghana

Psychotic-like experiences (PLEs) are subclinical psychotic symptoms that occur outside the context of sleep or are unrelated to drug use. PLEs of varying severity are reportedly very common in adolescence. However, there are concerns about whether the structure of PLEs among adolescents is latently dimensional or categorical (“taxonic”). The current study investigates the latent structure of PLEs in 1,886 adolescents recruited from senior high schools in Ghana. Four multivariate taxometric procedures (MAMBAC, MAXEIG, l-Mode and MAXSLOPE) were applied to analyze the data. Across the taxometric procedures, there was evidence that a dimensional structure underpins positive PLEs, negative PLEs and a combination of positive and negative PLEs. The findings suggest that PLEs are distributed in the adolescent population at differing degrees/severity and that evidence of discontinuity between milder and more severe PLEs is non-existent. The findings highlight the importance of incorporating a dimensional assessment of PLEs into the existing categorical approach so that differences between people can been seen as quantitative variations along the PLEs continuum.

Reexamining the latent structure of suicidal thoughts using taxometric analysis: Implications for testing ideation to action theoretical models of suicidal thoughts and behavior.

A central question in psychological science concerns whether psychological constructs are best conceptualized as dimensional or consist of one or more categories. The present study uses contemporary taxometric procedures to examine the latent structure of suicidal thoughts, with implications for how suicidal thoughts and behavior (STB) ought to be conceptualized, assessed, measured, and managed. Three nonredundant taxometric procedures (MAMBAC, MAXEIG, and L-Mode) were performed on various sets of indicators, and analyses were replicated across two large samples that included large numbers of individuals reporting current and recent STB. Results provide further evidence that the latent structure of suicidal thoughts is best understood as dimensional. However, inconsistent findings across studies and the relatively small number of taxometric studies conducted to date both suggest that it is premature to draw clear or definitive conclusions about the latent structure of STB being dimensional or categorical based on taxometric evidence. We report a meta-analysis of the current literature which evidences this ambiguity. We provide a detailed, critical discussion of the STB taxometric literature and outline key directions for future taxometric studies in this area, particularly how taxometric analysis relates to testing "ideation to action" theoretical models, which hypothesize that the development of suicidal ideation and the progression from suicide desire to attempting suicide are distinct processes with distinct explanations/mechanisms. It remains entirely possible that qualitatively distinct types of STB (e.g., representing ideation vs. action) or populations have different latent structures indicating different levels of risk. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Latent structure of obsessions: A taxometric analysis

Despite the importance of obsession in obsessive-compulsive disorder research, it remains unclear whether its latent structure is dimensional or categorical. Dimensional models of obsession propose that obsession is best captured by a continuum ranges from normal intrusive thoughts to highly distressing obsessions. In contrast, categorical models of obsession posit that obsession is a discrete clinical symptom that is qualitatively different from normal intrusive thoughts. These two types of models have different views on etiology, assessment, and treatment of obsession. The objective of the present study was to examine the latent structure of obsession using taxometric procedures. A total of 1074 undergraduate students participated in this study. Five obsessions (mistakes/accidents, dirt/cleaning, fatal contamination, aggressive acts/impulses, and sexual acts/impulses) were examined using three non-redundant taxometric procedures (MAMBAC, MAXEIG, and L-Mode). Results suggest that obsession is more accurately characterized by a dimensional structure rather than a categorical structure. Implications for assessment and conceptual model of obsessions are discussed.

Replicating the Dimensional Structure of Cannabis Problems: A Taxometric Analysis

Objective: This study employed taxometric procedures to replicate a previous report of the dimensional structure of problems related to cannabis consumption. Method: Over 4,000 cannabis users completed an assessment of psychological, social, occupational, and physical harms (the Marijuana Problems Scale). Three taxometric procedures (MAMBAC, MAXEIG, and L-Mode) compared the current data to simulations with a base rate of problematic cannabis use derived from representative, large-scale data estimates. Results: All three procedures confirmed the continuous, dimensional nature of these cannabis problems and suggested no underlying taxon or category. Conclusions: Psychopathological disorders, including some substance use problems, have fit categorical models suggesting that they differ in kind (rather than intensity) from the behavior of the rest of the population. Cannabis problems, however, appeared to lie along a continuum with other forms of use. Given heightened awareness for the necessity of replication and a changing legal landscape for cannabis, a second look at the dimensionality of these problems seemed warranted. New data with a larger sample and different indices of problematic use confirmed the dimensionality of cannabis problems. This replication can inform predictions about the etiology, prevention, and treatment of cannabis use disorder. Researchers should expect cannabis problems to range along a continuum without categorical distinctions. Dividing users into groups of problematic and non-problematic users likely sacrifices meaningful variance. Harm reduction strategies likely can benefit all users rather than a targeted taxon with troubles. In addition, interventions will likely progress by small, incremental steps rather than dramatic, categorical jumps in progress.

The latent structure of olfactory reference disorder symptoms: A taxometric analysis

Olfactory reference disorder (ORD), a newly included disorder in the ICD-11, is characterized by ‘pathological’ concerns about emitting body odor. While research is emerging on the construct, no study has directly examined the boundary between ORD and normal body odor concerns. That is, should ORD be considered as categorical in nature versus a more dimensional construct? As such, the current study explored the extent to which ORD symptoms correspond to a distinct category or dimension in a mixed university student and community sample (n = 757). Three indicators, derived from the Yale-Brown Obsessive Compulsive Scale Modified for Olfactory Reference Syndrome, were submitted to three independent taxometric procedures: MAMBAC, MAXEIG, and L-Mode. Two of three procedures showed that the latent structure of ORD is dimensional rather than categorical. The comparison curve fit index profile method yielded dimensional structure. Results suggested that researchers and clinical practitioners would be well-advised to conceptualize, assess, and treat ORD symptoms in a dimensional way.

Optimists or optimistic: Replication of a taxometric study on optimism

Hope and optimism are variants of individual differences regarding positive expectancies for the future. Previous literature describes the relationship of hope and optimism to various outcomes such as psychological adjustment, achievement, problem solving, and health-related concerns; however, few studies investigate its latent structure. Eichner, Kwon, and Marcus (2014) explore optimism’s latent structure through taxometric procedures and provide support for a dimensional construct. In light of recent debate over the replicability of scientific findings, the present study aimed to replicate these findings in an independent sample. Taxometric analyses are consistent with the original study, providing further support for the dimensional latent structure of optimism.

The classification of eating disorders in China: A categorical model or a dimensional model.

ObjectiveAccording to the ICD‐10 and DSM‐5, eating disorders (EDs) are classified using a categorical model that assumes the subtypes are qualitatively different from one another. However, it is still intensely debated that a dimensional model is more suitable. The aim of this study is to examine whether EDs have a categorical or dimensional latent structure using a sample of Chinese ED patients.MethodThe sample included 322 patients, diagnosed with an ED from 2010 to 2017 in the Shanghai Mental Health Center, and comparison participants (N = 850), recruited from undergraduate students in one university in Shanghai. Participants were evaluated with the Eating Disorder Inventory‐2 (EDI‐2) questionnaire and another questionnaire developed by the researchers. Three taxometric procedures (MAXimum EIGenvalue [MAXEIG], latent‐mode factor analysis [L‐Mode], and Mean Above Minus Below A Cut [MAMBAC]) were applied, respectively, to analyze the patients' clinical symptoms data.ResultsPatients were divided into three groups according to their clinical diagnosis. The plots of the three taxometric analysis procedures supported the categorical construct in anorexia nervosa, binge‐eating/purging group, and bulimia nervosa group. The Comparison Curve Fit Indices of the MAXEIG, L‐Mode, and MAMBAC procedures were 0.694, 0.709, 0.704 in the AN‐BP group and 0.727, 0.67, 0.62 in the BN group, respectively, which also support the categorical construct.DiscussionThe results support two distinct classes of ED subtypes among Chinese sample. Further work on applying hybrid model in analysis has been discussed.

Direct and conceptual replications of the taxometric analysis of type a behavior.

We present direct and conceptual replications of the influential taxometric analysis of Type A Behavior (TAB; Strube, 1989), which reported evidence for the latent typology of the construct. Study 1, the direct replication (N = 2,373), duplicated sampling and methodological procedures of the original study, but results showed that the item indicators used in the original study lacked sufficient validity to unambiguously determine latent structure. Using improved factorial subscale indicators to further test the question, multiple taxometric procedures, in combination with parallel analyses of simulated data, failed to replicate the original typological finding. Study 2, the conceptual replication, tested the latent structure of the wider construct of TAB using the sample from the Caerphilly Prospective Study (N = 2,254), which contains responses to the three most widely used self-report measures of TAB: the Jenkins Activity Survey, Bortner scale, and Framingham scale. Factorial subscale indicators were derived from the measures and submitted to multiple taxometric procedures. Results of Study 2 converged with those of Study 1, providing clear evidence of latent dimensional structure. Overall, results suggest there is no evidence for the type in TAB. Findings imply that theoretical models of TAB, assessment practices, and data analytic procedures that assume a typology should be replaced by dimensional models, factorial subscale measures, and corresponding statistical approaches. Specific subscale measures that tap multiple Big Five trait domains, and show evidence of predictive utility, are also recommended. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Latent Structure of Early Adolescent Bullying Perpetration: A Taxometric Analysis of Raw and Ranked Scores.

The purpose of this study was to investigate the latent structure type (categorical vs. dimensional) of bullying perpetration in a large sample of middle school students. A nine-item bullying scale was administered to 1,222 (625 boys, 597 girls) early adolescents enrolled in middle schools in a Midwestern state. Based on the results of a principal axis factoring analysis, the nine items were organized into four homogeneous scales. These scales were then used as indicators in a taxometric analysis of the bullying perpetration construct. According to the results of three nonredundant taxometric procedures (mean above minus below a cut, maximum covariance, and latent mode factor analysis), the total sample showed evidence of dimensional or continuous latent structure, but the male and female subsamples produced outcomes that were more ambiguous. Because the indicators were highly skewed and leptokurtic, raw scores were converted to rank normalized scores and the taxometric analyses recomputed. These recomputed analyses provided unequivocal support for dimensional latent structure in the total sample as well as in both subsamples. From these results, it was surmised that bullying perpetration is continuously organized and that rank normalized scores may improve the interpretability of taxometric findings derived from highly nonnormal indicators.

Conceptualizing calling: Cluster and taxometric analyses

Research on work as a calling has proliferated within the last decade, but researchers continue to conceptualize the construct in diverse ways, potentially creating confusion and a lack of coherence as research accumulates. This study applies two typological research strategies to better understand the latent structure of calling, and differences among people who find the construct personally relevant. First, using a sample of 588 U.S. undergraduate students who self-identified as having a calling, the taxometric method was used to test the presence of discrete types or categories within calling's latent structure. The indicator set was analyzed using three statistically non-redundant taxometric procedures (i.e., MAXEIG, MAMBAC, and L-Mode). Results revealed that calling is not represented by discrete taxa (categories), instead the differences in calling lie along a continuous (dimensional) latent structure. While having a singular latent structure, evidence suggests calling is likely a multidimensional construct, which allows for different points of emphasis expressed by people who perceive a calling. A two-step cluster analysis was then applied to examine participants' vocational identity characteristics. A two-cluster solution was supported, differentiated by the relative importance placed on work and self-enhancement values versus religion and prosocial work values. Implications for research on calling and career counseling practice are discussed.

The Behavioral Approach System (BAS) Model of Vulnerability to Bipolar Disorder: Evidence of a Continuum in BAS Sensitivity across Adolescence.

Behavioral Approach System (BAS) sensitivity has been implicated in the development of a variety of different psychiatric disorders. Prominent among these in the empirical literature are bipolar spectrum disorders (BSDs). Given that adolescence represents a critical developmental stage of risk for the onset of BSDs, it is important to clarify the latent structure of BAS sensitivity in this period of development. A statistical approach especially well-suited for delineating the latent structure of BAS sensitivity is taxometric analysis, which is designed to evaluate whether the latent structure of a construct is taxonic (i.e., categorical) or dimensional (i.e., continuous) in nature. The current study applied three mathematically non-redundant taxometric procedures (i.e., MAMBAC, MAXEIG, and L-Mode) to a large community sample of adolescents (n=12,494) who completed two separate measures of BAS sensitivity: the BIS/BAS Scales Carver and White (Journal of Personality and Social Psychology, 67, 319-333. 1994) and the Sensitivity to Reward and Sensitivity to Punishment Questionnaire (Torrubia et al. Personality and Individual Differences, 31, 837-862. 2001). Given the significant developmental changes in reward sensitivity that occur across adolescence, the current investigation aimed to provide a fine-grained evaluation of the data by performing taxometric analyses at an age-by-age level (14-19years; n for each age≥883). Results derived from taxometric procedures, across all ages tested, were highly consistent, providing strong evidence that BAS sensitivity is best conceptualized as dimensional in nature. Thus, the findings suggest that BAS-related vulnerability to BSDs exists along a continuum of severity, with no natural cut-point qualitatively differentiating high- and low-risk adolescents. Clinical and research implications for the assessment of BSD-related vulnerability are discussed.

Investigating the latent structure of distress intolerance

Distress intolerance (DI) is defined as a perceived or actual inability to withstand distressing emotional or somatic states, which motivates the use of avoidance strategies. Despite widespread interest in DI, key questions about its underlying structure remain unanswered. The current study evaluated the latent structure of DI in two large samples using four-indicators and three taxometric procedures (MAMBAC, MAXEIG, and L-Mode). Data interpretation relied primarily on the Comparison Curve Fit Indices (CCFI). Overall, results from the three non-redundant procedures suggested that DI was more accurately characterized by a dimensional rather than a categorical conceptualization. Implications for assessment and conceptual models of DI are discussed.

The latent structure of social anxiety disorder and the performance only specifier: a taxometric analysis

Social anxiety disorder (SAD) is often treated as a discrete diagnostic entity that represents a naturally occurring class, though empirical evidence largely supports a dimensional conceptualization of social fears. Further, the inclusion of a “performance only” specifier in the DSM-5 implies that individuals who experience intense social anxiety exclusively in performance situations are distinct from those with broader social fears. The purpose of the present research was to examine the latent structure of SAD and the DSM-5 “performance only” specifier in a large nonclinical sample (n = 2019). Three taxometric procedures (MAXCOV, MAMBAC, and L-Mode) were applied to indicators derived from two commonly used measures of social anxiety. Results yielded convergent evidence indicating that social anxiety exhibits a dimensional latent structure. Further, social performance anxiety demonstrates continuous relationships with milder social fears, suggesting that the “performance only” specifier may not represent a discrete entity. The implications of these findings for the assessment, diagnosis, classification, and treatment of social anxiety are discussed.

Taxometric Analysis of the Toronto Structured Interview for Alexithymia: Further Evidence That Alexithymia Is a Dimensional Construct.

Alexithymia is a clinically relevant personality construct characterized by difficulties identifying and describing feelings, externally oriented thinking, and impoverished imaginal processes. Previous taxometric investigations provided evidence that alexithymia is best conceptualized as a continuous dimension rather than a discrete type, at least when assessed with the self-report 20-Item Toronto Alexithymia Scale. The aim of the current study was to test the categorical versus dimensional structure of alexithymia using the recently developed Toronto Structured Interview for Alexithymia. Three nonredundant taxometric procedures (MAXCOV, MAMBAC, and L-Mode) were performed on the Toronto Structured Interview for Alexithymia subscale scores from a multinational sample of 842 adults. All taxometric procedures produced unambiguously dimensional solutions, providing further evidence that the core alexithymia features are continuously distributed in the population. Discussion focuses on the theoretical, assessment, and clinical implications of these findings for the alexithymia construct.

Do paranoid delusions exist on a continuum with subclinical paranoia? A multi-method taxometric study

BackgroundThere is widespread interest in whether psychosis exists on a continuum with healthy functioning. Previous research has implied that paranoia, a common symptom of psychosis, exists on a continuum but this has not been investigated using samples including both patients and non-patients and up-to-date taxometric methods. AimTo assess the latent structure of paranoia in a diverse sample using taxometric methods. MethodWe obtained data from 2836 participants, including the general population as well as at-risk mental state and psychotic patients using the P-scale of the Paranoia and Deservedness Scale. Data were analysed using three taxometric procedures, MAMBAC, MAXEIG and L-MODE (Ruscio, 2016), and two sets of paranoia indicators (subscales and selected items from the P scale), including and excluding the patient groups. ResultsEleven of the twelve analyses supported a dimensional model. Using the full sample and subscales as indicators, the MAMBAC analysis was ambiguous. Overall, the findings converged on a dimensional latent structure. ConclusionsA dimensional latent structure of paranoia implies that the processes involved in sub-clinical paranoia may be similar to those in clinical paranoia.

The Taxonic Latent Structure and Taxometrics in Forensic Mental Health.

Recently, researchers in the field of forensic mental health have attempted to address the technical, empirical question of whether important clinical problems, such as psychopathy or malingering, constitute taxa (i.e., discrete conditions). In this paper, we provide a detailed elucidation of the foundational logic of the quantitative methods employed to answer this question, focusing on the taxometric procedures developed by Paul Meehl and colleagues. We attempt to demonstrate that research on taxonicity is hampered by (a) researchers' unfamiliarity with or misunderstanding of the logic underlying latent variable technologies and (b) the fundamental incapacity of Meehlian procedures to provide a test of taxonicity. We conclude by discussing the utility of taxometric procedures to research in forensic mental health and, more broadly, in the field of applied psychological measurement.

Child molestation and psychopathy: a taxometric analysis

ABSTRACTPrior taxometric research on child molesters and general sex offenders has produced inconsistent and contradictory results. There are theoretical, practical, and policy reasons, however, to assume that a psychopathy taxon may exist in sex offenders and that a taxometric study might shed light on this issue. The mean above minus below a cut (MAMBAC), maximum covariance (MAXCOV), and latent-mode factor analysis (L-Mode) taxometric procedures were employed in three overlapping samples: 188 sex offenders with non-relative child victims, 555 sex offenders with non-relative child or adolescent victims or child incest victims, and a mixed sample of 1404 sex offenders. The taxometric analyses revealed evidence of continuous latent structure in all three samples. These results suggest that psychopathy in sex offenders, child molesters in particular, is organised quantitatively (continuous) rather than qualitatively (categorical).