The latent structure of anxiety sensitivity--revisited

Anxiety sensitivity has been implicated as a risk factor for the development and maintenance of panic and other anxiety disorders. Although researchers have generally assumed that anxiety sensitivity is a dimensional, rather than categorical, variable, recent taxometric research has raised questions concerning the accuracy of this assumption. The present study examined the latent structure of anxiety sensitivity by applying four taxometric procedures (MAXEIG, MAXCOV, MAMBAC, and L-Mode) to data collected from two large nonclinical samples (n = 1,025 and n = 744) using two distinct measures of anxiety sensitivity (Anxiety Sensitivity Profile and Anxiety Sensitivity Index-Revised). In contrast to previous taxometric analyses of anxiety sensitivity, results of the present research provided convergent evidence for a latent anxiety sensitivity dimension. Several potential explanations for the discrepancy between these findings and those of previous research are discussed, as well as the implications of these findings for the conceptualization and measurement of anxiety sensitivity.     

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.     

A Taxometric Investigation of the Latent Structure of Worry: Dimensionality and Associations With Depression, Anxiety, and Stress

Worry has been described as a core feature of several disorders, particularly generalized anxiety disorder (GAD). The present study examined the latent structure of worry by applying 3 taxometric procedures (MAXEIG, MAMBAC, and L-Mode) to data collected from 2 large samples. Worry in the first sample (Study 1) of community participants (n = 1,355) was operationalized by worry engagement, absence of worry, and the worry feature of trait anxiety. Worry in the second sample (Study 2) of undergraduate participants (n = 1,171) was operationalized by the tendency to experience worry, intolerance of uncertainty, beliefs about worry, and symptoms of GAD. Results across both samples provided converging evidence that worry is best conceptualized as a dimensional construct, present to a greater or lesser extent in all individuals. Findings from Study 2 also indicated that the latent dimension of worry generally has an equal association with symptoms of depression, anxiety, and stress across the entire continuum. These findings are discussed in relation to the conceptualization and assessment of worry in GAD and related disorders.     

A taxometric study of the latent structure of disgust sensitivity: converging evidence for dimensionality

Disgust sensitivity has recently been implicated as a specific vulnerability factor for several anxiety-related disorders. However, it is not clear whether disgust sensitivity is a dimensional or categorical phenomenon. The present study examined the latent structure of disgust by applying three taxometric procedures (maximum eigenvalue, mean above minus below a cut, and latent-mode factor analysis) to data collected from 2 large nonclinical samples on 2 different measures of disgust sensitivity. Disgust sensitivity in the first sample (n=1,153) was operationalized by disgust reactions to food, animals, body products, sex, body envelope violations, death, hygiene, and sympathetic magic, as assessed by the Disgust Sensitivity Scale (J. Haidt, C. McCauley, & P. Rozin, 1994). Disgust Sensitivity Scale indicators of core, animal reminder, and contamination disgust were also examined in the 1st sample. Disgust sensitivity in the 2nd independent sample (n=1,318) was operationalized by disgust reactions to animals, injections and blood draws, mutilation and death, rotting foods, and odors, as assessed by the Disgust Emotion Scale (R. A. Kleinknecht, E. E. Kleinknecht, & R. M. Thorndike, 1997). Results across both samples provide converging evidence that disgust sensitivity is best conceptualized as a dimensional construct, present to a greater or lesser extent in all individuals. These findings are discussed in relation to the conceptualization and assessment of disgust sensitivity as a specific dimensional vulnerability for certain anxiety and related disorders.     

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 (14–19 years; 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.     

Taxometric and factor analytic models of anxiety sensitivity: integrating approaches to latent structural research

This study represents an effort to better understand the latent structure of anxiety sensitivity (AS), as indexed by the 16-item Anxiety Sensitivity Index (ASI; S. Reiss, R. A. Peterson, M. Gursky, & R. J. McNally, 1986), by using taxometric and factor-analytic approaches in an integrative manner. Taxometric analyses indicated that AS has a taxonic latent class structure (i.e., a dichotomous latent class structure) in a large sample of North American adults (N=2,515). As predicted, confirmatory factor analyses indicated that a multidimensional 3-factor model of AS provided a good fit for the AS complement class (normative or low-risk form) but not the AS taxon class (high-risk form). Exploratory factor analytic results suggested that the AS taxon may demonstrate a unique, unidimensional factor solution, though there are alternative indications that it may be characterized by a 2-factor solution. Findings suggest that the latent structural nature of AS can be conceptualized as a taxonic latent class structure composed of 2 types or forms of AS, each of these forms characterized by its own unique latent continuity and dimensional structure.     

The facets of anxiety sensitivity represented in the childhood anxiety sensitivity index: confirmatory analyses of factor models from past studies

Results of past factor analytic studies of the Childhood Anxiety Sensitivity Index and Anxiety Sensitivity Index were used to formulate hypotheses about factor models of anxiety sensitivity. Using a nonclinical sample of 767 children and adolescents and confirmatory factor analysis, hypothesized models with 2, 3, and 4 lower order factors (facets) were tested. Goodness-of-fit criteria indicated that a model with 4 facets fits these data well. Support was found for factorial invariance of the 4 facets across age and gender, using nonclinical and clinical samples. Results support a hierarchical factor model in that there was a strong general factor, explaining 71% of the variance. Findings are discussed in the context of anxiety sensitivity theory and research with children and adolescents.     

Anxiety sensitivity taxonicity across gender among youth

The present investigation comparatively evaluated the latent class structure and parameters of anxiety sensitivity (AS) among female and male youth using the Childhood Anxiety Sensitivity Index. Participants were 4462 adolescents (2189 females) in grades 7-12 (M(age)=15.6 years). Consistent with prediction, taxometric analyses indicated the latent structure of AS was taxonic in both males and females, demonstrating the taxonic latent structure of AS is similarly observed across gender. Also consistent with prediction, the base rate of the AS taxon differed between genders -- higher for females (12%) compared to males (7%). These findings are discussed in terms of their implications for the study of AS and panic vulnerability among youth.     

Laboratory Test of a Novel Structural Model of Anxiety Sensitivity and Panic Vulnerability

The current study evaluated a novel latent structural model of anxiety sensitivity (AS) in relation to panic vulnerability among a sample of young adults (N = 216). AS was measured using the 16-item Anxiety Sensitivity Index (ASI; Reiss, Peterson, Gursky, & McNally, 1986), and panic vulnerability was indexed by panic attack responding to a single administration of a 4-minute, 10% CO₂ challenge. As predicted, vulnerability for panic attack responding to biological challenge was associated with dichotomous individual differences between taxonic AS classes and continuous within-taxon class individual differences in AS physical concerns. Findings supported the AS taxonic-dimensional hypothesis of AS latent structure and panic vulnerability. These findings are discussed in terms of their theoretical and clinical implications.     

Is perfectionism categorical or dimensional? A taxometric analysis

Considerable debate exists within the perfectionism literature regarding whether perfectionism is most accurately conceptualized as a dimensional or categorical construct. Specifically, some researchers have viewed perfectionism as a continuous construct, with extreme scores being associated with negative psychological outcomes (e.g., obsessive-compulsive disorder, eating disorders, etc.). In contrast, others have argued that two distinct forms of perfectionism exist (i.e., adaptive vs. maladaptive perfectionism) that are associated with both positive and negative outcomes. The purpose of this study was to examine the latent structure of perfectionism using taxometric procedures to determine whether perfectionism is most accurately conceptualized as taxonic (categorical) or dimensional (continuous). We applied four taxometric procedures (maximum eigenvalue [Waller & Meehl, 1998], maximum covariance [Meehl & Yonce, 1996], mean above minus below a cut [Meehl & Yonce, 1994], and latent-mode factor analysis [Waller & Meehl, 1998]) to perfectionism data collected from 2 large nonclinical samples. Results provided convergent evidence for a dimensional conceptualization of perfectionism across samples, perfectionism measures, and statistical procedures. We discuss the implications of these findings for the theory, assessment, and investigation of perfectionism are discussed.     

Integrating Anxiety Sensitivity, Distress Tolerance, and Discomfort Intolerance: A Hierarchical Model of Affect Sensitivity and Tolerance

The purpose of the present investigation was to concurrently examine the latent dimensional and hierarchical structure of anxiety sensitivity (AS) and two key theoretically relevant and related affect (in)tolerance and sensitivity constructs: distress tolerance and discomfort intolerance. These constructs were measured using the Anxiety Sensitivity Index (Reiss, Peterson, Gursky, & McNally, 1986), the Distress Tolerance Scale (Simons & Gaher, 2005), and the Discomfort Intolerance Scale (Schmidt, Richey, & Fitzpatrick, 2006). A total of 229 individuals (124 females; M_age = 21.0 years, SD = 7.5) without current Axis I psychopathology participated by completing a battery of self-report questionnaires. A two-stage exploratory factor analysis was conducted to examine the lower- and higher-order latent structural relations among the variables. The factor solution was subsequently evaluated in relation to negative affectivity, anxious arousal, and anhedonic depression. AS and distress tolerance appeared to be related to one another as distinct lower-order facets of a common higher-order affect tolerance and sensitivity factor, whereas discomfort intolerance did not appear to demonstrate similar relations with either AS or distress tolerance at the lower-order or higher-order levels. A unique pattern of association with theoretically-relevant criterion variables was observed between the affect tolerance and sensitivity higher-order factor, the AS and distress tolerance lower-order factors, and the discomfort intolerance factor. Findings are discussed in the context of theoretical and clinical implications and future directions for the study of affect tolerance and sensitivity in relation to emotional vulnerability.     

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.     

Taxometric and factor analytic models of anxiety sensitivity among youth: exploring the latent structure of anxiety psychopathology vulnerability

This study represents an effort to better understand the latent structure of anxiety sensitivity (AS), a well-established affect-sensitivity individual difference factor, among youth by employing taxometric and factor analytic approaches in an integrative manner. Taxometric analyses indicated that AS, as indexed by the Child Anxiety Sensitivity Index (CASI; Silverman, Flesig, Rabian, & Peterson, 1991), demonstrates taxonic latent class structure in a large sample of youth from North America (N=4,462; M(age)=15.6 years; SD=1.3). Subsequent confirmatory factor analyses indicated that the latent continuous, multidimensional, 4-factor model of AS among youth (Silverman, Goedhart, Barrett, & Turner, 2003) provided good fit for the CASI data among the complement class ("normative form" of AS), but not among the taxon class ("high-risk form" of AS). EFAs supported the prediction that the AS taxon demonstrates a unique, heretofore unexplored latent continuous, unidimensional factor structure among youth. Findings are discussed in relation to refining our understanding of the latent structure of AS and the clinical implications that arise from it.     

Taxometric analysis as a general strategy for distinguishing categorical from dimensional latent structure

Statistical analyses investigating latent structure can be divided into those that estimate structural model parameters and those that detect the structural model type. The most basic distinction among structure types is between categorical (discrete) and dimensional (continuous) models. It is a common, and potentially misleading, practice to apply some method for estimating a latent structural model such as factor analysis without first verifying that the latent structure type assumed by that method applies to the data. The taxometric method was developed specifically to distinguish between dimensional and 2-class models. This study evaluated the taxometric method as a means of identifying categorical structures in general. We assessed the ability of the taxometric method to distinguish between dimensional (1-class) and categorical (2-5 classes) latent structures and to estimate the number of classes in categorical datasets. Based on 50,000 Monte Carlo datasets (10,000 per structure type), and using the comparison curve fit index averaged across 3 taxometric procedures (Mean Above Minus Below A Cut, Maximum Covariance, and Latent Mode Factor Analysis) as the criterion for latent structure, the taxometric method was found superior to finite mixture modeling for distinguishing between dimensional and categorical models. A multistep iterative process of applying taxometric procedures to the data often failed to identify the number of classes in the categorical datasets accurately, however. It is concluded that the taxometric method may be an effective approach to distinguishing between dimensional and categorical structure but that other latent modeling procedures may be more effective for specifying the model.     

Taxonicity of anxiety sensitivity: an empirical test among youth

Taxometric coherent cut kinetic analyses were used to test the latent structure of anxiety sensitivity (AS) among 371 youth. Anxiety sensitivity was indexed by the 18-item Childhood Anxiety Sensitivity Index (CASI; Silverman et al., J. Clin. Child Psychol. (1991), 20, 162-168). Two sets of manifest indicators of AS were constructed using the CASI: (1) three item-parcel manifest indicators: disease concerns, unsteady concerns, and mental illness concerns; and (2) nine single-item indicators representing each of these three facets of AS. Results from standard and short-scale MAXCOV procedures, internal consistency tests, analyses of simulated Monte Carlo data, and MAMBAC external consistency tests indicated that the latent structure of anxiety sensitivity among youth was taxonic. Estimated base rate of the observed AS taxon ranged between 13.6 and 16.5%. The present findings are discussed in terms of theoretical implications for the study of AS and vulnerability for anxiety psychopathology.     

Anxiety sensitivity taxonicity: a concurrent test of cognitive vulnerability for post-traumatic stress symptomatology among young adults

This study evaluated the anxiety sensitivity taxon using the 16-item Anxiety Sensitivity Index in relation to 2 criteria relevant to post-traumatic stress disorder; post-traumatic stress disorder symptom severity as indexed by the Post-Traumatic Diagnostic Scale, and post-traumatic cognitions as indexed by the Post-Traumatic Cognitions Inventory. Taxometric analyses of data collected from 331 young adults indicated that the latent structure of anxiety sensitivity was taxonic with an estimated base-rate range of 11-12%. As predicted, an 8-item Anxiety Sensitivity Index Taxon Scale accounted for significant variance above and beyond that accounted for by negative affectivity and the full-scale Anxiety Sensitivity Index total score in terms of both criteria. Moreover, after accounting for variance explained by the full-scale Anxiety Sensitivity Index total score and negative affectivity, the sum score for the 8 Anxiety Sensitivity Index items not included in the Anxiety Sensitivity Index Taxon Scale was associated with significant variance in these same dependent measures, but the relation was in the opposite direction to that predicted by theory. These findings are discussed in terms of theoretical and clinical implications for the study of anxiety sensitivity and post-traumatic stress disorder vulnerability.     

Taxometric analysis of the antisocial features scale of the personality assessment inventory in federal prison inmates

The Antisocial Features (ANT) scale of the Personality Assessment Inventory (PAI) was subjected to taxometric analysis in a group of 2,135 federal prison inmates. Scores on the three ANT subscales-Antisocial Behaviors (ANT-A), Egocentricity (ANT-E), and Stimulus Seeking (ANT-S)-served as indicators in this study and were evaluated using the following taxometric procedures: mean above minus below a cut (MAMBAC), maximum eigenvalue (MAXEIG), and latent mode factor analysis (L-Mode). Objective and subjective evaluation of the results revealed consistent support for a dimensional interpretation of latent structure across the di ferent taxometric procedures as well as across gender, race, and security level. As a dimensional construct, antisocial personality disorder arranges respondents along one or more quantitative dimensions (degree of antisociality), rather than assigning them to qualitatively distinct categories (antisocial or not antisocial).     

Anxiety Sensitivity Taxonicity: a Concurrent Test of Cognitive Vulnerability for Post‐Traumatic Stress Symptomatology Among Young Adults

This study evaluated the anxiety sensitivity taxon using the 16‐item Anxiety Sensitivity Index in relation to 2 criteria relevant to post‐traumatic stress disorder; post‐traumatic stress disorder symptom severity as indexed by the Post‐Traumatic Diagnostic Scale, and post‐traumatic cognitions as indexed by the Post‐Traumatic Cognitions Inventory. Taxometric analyses of data collected from 331 young adults indicated that the latent structure of anxiety sensitivity was taxonic with an estimated base‐rate range of 11–12%. As predicted, an 8‐item Anxiety Sensitivity Index Taxon Scale accounted for significant variance above and beyond that accounted for by negative affectivity and the full‐scale Anxiety Sensitivity Index total score in terms of both criteria. Moreover, after accounting for variance explained by the full‐scale Anxiety Sensitivity Index total score and negative affectivity, the sum score for the 8 Anxiety Sensitivity Index items not included in the Anxiety Sensitivity Index Taxon Scale was associated with significant variance in these same dependent measures, but the relation was in the opposite direction to that predicted by theory. These findings are discussed in terms of theoretical and clinical implications for the study of anxiety sensitivity and post‐traumatic stress disorder vulnerability.     

The Anxiety Sensitivity Index for Children: factor structure and relation to panic symptoms in an adolescent sample

This study examines the factor structure underlying the Anxiety Sensitivity Index for Children (ASIC. J Anxiety Disord, 12 (1998) 307) in an adolescent sample. Three-hundred-and-eight adolescents, aged 12 to 18, completed the ASIC and measures of anxiety and depression. Factor analysis of the ASIC items resulted in a two-factor structure that is similar to that reported by Laurent et al. These two factors included a physical concerns dimension and a mental concerns dimension similar to those found in studies of adult anxiety sensitivity. Subscales measuring these two factors demonstrated concurrent validity, showing particularly close associations with measures of panic symptoms. In addition, both of these subscales showed incremental validity in predicting panic symptoms after controlling for the other anxiety sensitivity subscale and a measure of depression. These results provide evidence that the anxiety sensitivity construct is applicable during adolescence and support the use of the ASIC.     

Continuity and discontinuity models of bulimia nervosa: a taxometric investigation

Past research evaluating the continuity and discontinuity models of bulimia has produced inconclusive results. In the current study, we performed a taxometric analysis of bulimia nervosa using means above minus below a sliding cut and maximum covariance analysis with a sample of women diagnosed with bulimia nervosa (n = 201) or women college students (n = 412). Indicators were derived from the Bulimia Test--Revised and the Eating Attitudes Test--26, and both a mixed sample and the nonclinical sample were analyzed. With both taxometric methods and both mixed and nonclinical samples, results were consistently suggestive of a latent taxon for bulimia. These results challenge a dimensional model of bulimia nervosa.