Sociocognitive and Argumentation Perspectives on Psychometric Modeling in Educational Assessment.

Rapid advances in psychology and technology open opportunities and present challenges beyond familiar forms of educational assessment and measurement. Viewing assessment through the perspectives of complex adaptive sociocognitive systems and argumentation helps us extend the concepts and methods of educational measurement to new forms of assessment, such as those involving interaction in simulation environments and automated evaluation of performances. I summarize key ideas for doing so and point to the roles of measurement models and their relation to sociocognitive systems and assessment arguments. A game-based learning assessment SimCityEDU: Pollution Challenge! is used to illustrate ideas.

Investigating weight constraint methods for causal-formative indicator modeling.

Causal-formative indicators are often used in social science research. To achieve identification in causal-formative indicator modeling, constraints need to be applied. A conventional method is to constrain the weight of a formative indicator to be 1. The selection of which indicator to have the fixed weight, however, may influence statistical inferences of the structural path coefficients from the causal-formative construct to outcomes. Another conventional method is to use equal weights (e.g., 1) and assumes that all indicators equally contribute to the latent construct, which can be a strong assumption. To address the limitations of the conventional methods, we proposed an alternative constraint method, in which the sum of the weights is constrained to be a constant. We analytically studied the relations and interpretations of structural path coefficients from the constraint methods, and the results showed that the proposed method yields better interpretations of path coefficients. Simulation studies were conducted to compare the performance of the weight constraint methods in causal-formative indicator modeling with one or two outcomes. Results showed that higher biases in the path coefficient estimates were observed from the conventional methods compared to the proposed method. The proposed method had ignorable bias and satisfactory coverage rates in the studied conditions. This study emphasizes the importance of using an appropriate weight constraint method in causal-formative indicator modeling.

"Show Me What You Got": The Nomological Network of the Ability to Pose Facial Emotion Expressions.

Just as receptive emotional abilities, productive emotional abilities are essential for social communication. Although individual differences in receptive emotional abilities, such as perceiving and recognizing emotions, are well-investigated, individual differences in productive emotional abilities, such as the ability to express emotions in the face, are largely neglected. Consequently, little is known about how emotion expression abilities fit in a nomological network of related abilities and typical behavior. We developed a multitask battery for measuring the ability to pose emotional expressions scored with facial expression recognition software. With three multivariate studies (n1 = 237; n2 = 141; n3 = 123), we test competing measurement models of emotion posing and relate this construct with other socio-emotional traits and cognitive abilities. We replicate the measurement model that includes a general factor of emotion posing, a nested task-specific factor, and emotion-specific factors. The emotion-posing ability factor is moderately to strongly related to receptive socio-emotional abilities, weakly related to general cognitive abilities, and weakly related to extraversion. This is strong evidence that emotion posing is a cognitive interpersonal ability. This new understanding of abilities in emotion communication opens a gateway for studying individual differences in social interaction.

Modeling insufficient effort responses in mixed-worded scales.

Surveys often add reverse-coded questions to monitor respondents with insufficient effort responses (IERs) but often wrongly assume that all respondents consistently answer all questions with full effort. By contrast, this study expanded the mixture model for IERs and ran a simulation via LatentGOLD to show the harmful consequences of ignoring IERs to positively and negatively worded questions: less test reliability, bias and less accuracy in slope and intercept parameters. We showed its practical application to two public data sets: Machiavellianism (five-point scale) and self-reported depression (four-point scale).

The driving factors and spatial evolution of industrial water pollution governance efficiency in the Yangtze River Delta urban agglomeration in China.

In order to explore the effective path to improve the efficiency of industrial water pollution governance efficiency (WGE), this study takes 27 prefecture-level cities in the Yangtze River Delta urban agglomeration in China as the research object, measures WGE through the improved SBM model, and tests the impact of WGE drivers using the spatial Durbin model (SDM). The study found that environmental pollution governance investment (EPGI) is positively correlated with WGE, and industrial agglomeration status (IAS) has inhibitory effects on the improvement of WGE. By testing IAS2, it was determined that the impact of IAS on WGE has a "U"-shaped relationship. The direct impact of EPGI on WGE is 0.5016, and the indirect impact on WGE is 0.6428; the direct impact of IAS on WGE is -0.3036, and the indirect impact on WGE is -0.5158. Among the other tested impact drivers, per capita GDP (PCG), industrial structure (IS), and level of technological innovation (TIL) are positively correlated with the dependent variable WGE, while energy consumption intensity (ECI), environmental regulation intensity (ERI), and degree of openness to foreign investment (FIR) are negatively correlated with the dependent variable WGE. In addition to the impact of the aforementioned main drivers, IAS and EPGI, these six drivers also largely influence and determine the final impact on WGE.

Cross-cultural validity and psychometric properties of the International Trauma Questionnaire in a clinical refugee sample.

Background: The ICD-11 post-traumatic stress disorder (PTSD) and complex PTSD diagnoses have been examined in several studies using the International Trauma Questionnaire (ITQ). The cross-cultural validity of the ITQ has not previously been studied using item responses theory methods focused on the issue of equal item functioning and thus comparability of scores across language groups.Objective: To investigate the cross-cultural validity of the ITQ scales considering specifically local independence of items and differential item functioning (DIF) in a cross-cultural sample of refugees.Method: Data from 490 treatment-seeking refugees were included, covering Danish, Arabic, and Bosnian languages and different levels of interpreter-assisted administration. Rasch and graphical log-linear Rasch models were used.Results: There was strong local dependence among items from the same symptom clusters in the PTSD and disorders in self-organization (DSO) scales, except between affective dysregulation items. Weak local dependence was discovered between an item from the affective dysregulation cluster and an item from the disturbed relationship cluster. There was no evidence of DIF related to language or interpreter assistance. There was evidence of DIF for two PTSD items relative to gender and time since the traumatic event. The targeting of the scales to the study population was not optimal. Reliability varied from 0.55 to 0.78 for subgroups.Conclusions: The PTSD and the DSO scales have stable psychometric properties across the Danish, Arabic, and Bosnian language versions and different levels of assisted administration. Scores are comparable across these groups. However, DIF relative to gender and time since trauma introduces considerable measurement bias. DIF-adjusted summed scale scores or estimated person parameters should be used to avoid measurement bias. Future research should investigate whether scales including more and/or alternative items that require higher levels of PTSD and DSO to be endorsed will improve targeting and measurement precision for refugee populations.

A first cross-cultural validity study of the ITQ using IRT.PTSD and DSO subscales functioned invariantly across Danish, Arabic, and Bosnian, and also across degrees of interpreter assistance. Two PTSD items did not function invariantly across gender and time since trauma.The Danish, Arabic, and Bosnian ITQ can be used for screening treatment-seeking refugees, taking into account the item bias in the PTSD subscale, and suboptimal targeting and reliability, which require extensions or modification of items.

Expressions of moral disgust reflect both disgust and anger.

ABSTRACTPeople often appear to conflate anger and disgust, seemingly using expressions of both emotions interchangeably in response to moral violations. Yet, anger and moral disgust differ in their antecedents and consequences. These empirical observations are associated with two broad theoretical perspectives: one describes expressions of moral disgust as metaphors for anger, whereas the other describes moral disgust as functionally distinct from anger. Both accounts have received empirical support from separate and seemingly inconsistent literatures. The present study seeks to resolve this inconsistency by focusing on the different ways moral emotions have been measured. We formalise three theoretical models of moral emotions: one in which expressions of disgust are purely associated with anger (but not physiological disgust), one in which disgust and anger are fully separated and have distinct functions, and an integrative model that accommodates both metaphorical use in language and distinctive function. We test these models on responses to moral violations (four studies; N = 1608). Our results suggest that moral disgust has distinct functions, but that expressions of moral disgust are sometimes used to convey moralistic anger. These findings have implications for the theoretical status and measurement of moral emotions.

Short measures of youth psychopathology: psychometric properties of the brief problem monitor (BPM) and the behavior and feelings survey (BFS) in a Norwegian clinical sample.

BACKGROUND: Tracking clinical outcomes during therapy can be useful for improving both clinical practice and research. For repeated data collection, short, reliable, and valid measures of central aspects of psychopathology are necessary. The current paper investigates the psychometric properties of two short surveys for measuring central dimensions of psychopathology in youth. METHODS: We investigated the factor structure and validity of the Norwegian translations of the Behavior and Feelings Survey (BFS) and the Brief Problem Monitor (BPM). The BFS has previously shown a two-factor structure and indications of validity as a measure of internalizing and externalizing problems in youth. The BPM has support for a three-factor structure of internalizing, externalizing, and attention problems. In our sample of 503 patients (56% female, age 6 to 18) in a Norwegian outpatient clinic, we conducted confirmatory factor analyses to test the assumed measurement models and further considered the concurrent validity of the measures. RESULTS: Internal reliability of both measures were good. The results suggest that the assumed measurement models for both questionnaires only partly fit our data but that subscales of the BFS and BPM still indicate convergent validity. Scores on subscales (internalizing and externalizing problems) on both measures converged with relevant subscales as well as with relevant groups of diagnoses. CONCLUSIONS: Alternative measurement models, and the usefulness and limitations of these short-form questionnaires for internalizing and externalizing problems, are discussed.

Attitudes towards refugees: Introducing a short three-dimensional scale.

Many researchers subscribe to the three-component conceptualization of attitudes, the idea that attitudes have cognitive, affective, and behavioural (intentional) components. Yet, these components are rarely considered simultaneously in scales, especially those measuring attitudes towards refugees. Moreover, it is debated how these components relate to one another. We present the development and validation of a six-item short-scale to measure attitudes towards refugees based on three surveys (Study 1: N = 330; Study 2a: N = 2,083; Study 2b: N = 2,174). We assessed the performance of this scale with respect to three rivalling attitude conceptualizations (one-factor, three-factor, and second-order factor model). We found that a three-factor or second-order factor conceptualization fitted best to the data. The scale had excellent psychometric properties. We hope that our work stimulates a wave of relevant research on attitudes towards refugees that applies this scale, and contributes to the debate on the conceptualization of attitudes in general.

Distilling vector space model scores for the assessment of constructed responses with bifactor Inbuilt Rubric method and latent variables.

In this paper, we highlight the importance of distilling the computational assessments of constructed responses to validate the indicators/proxies of constructs/trins using an empirical illustration in automated summary evaluation. We present the validation of the Inbuilt Rubric (IR) method that maps rubrics into vector spaces for concepts' assessment. Specifically, we improved and validated its scores' performance using latent variables, a common approach in psychometrics. We also validated a new hierarchical vector space, namely a bifactor IR. 205 Spanish undergraduate students produced 615 summaries of three different texts that were evaluated by human raters and different versions of the IR method using latent semantic analysis (LSA). The computational scores were validated using multiple linear regressions and different latent variable models like CFAs or SEMs. Convergent and discriminant validity was found for the IR scores using human rater scores as validity criteria. While this study was conducted in the Spanish language, the proposed scheme is language-independent and applicable to any language. We highlight four main conclusions: (1) Accurate performance can be observed in topic-detection tasks without hundreds/thousands of pre-scored samples required in supervised models. (2) Convergent/discriminant validity can be improved using measurement models for computational scores as they adjust for measurement errors. (3) Nouns embedded in fragments of instructional text can be an affordable alternative to use the IR method. (4) Hierarchical models, like the bifactor IR, can increase the validity of computational assessments evaluating general and specific knowledge in vector space models. R code is provided to apply the classic and bifactor IR method.

Measuring the Refined Theory of Individual Values in 49 Cultural Groups: Psychometrics of the Revised Portrait Value Questionnaire.

Researchers around the world are applying the recently revised Portrait Value Questionnaire (PVQ-RR) to measure the 19 values in Schwartz's refined values theory. We assessed the internal reliability, circular structure, measurement model, and measurement invariance of values measured by this questionnaire across 49 cultural groups (N = 53,472) and 32 language versions. The PVQ-RR reliably measured 15 of the 19 values in the vast majority of groups and two others in most groups. The fit of the theory-based measurement models supported the differentiation of almost all values in every cultural group. Almost all values were measured invariantly across groups at the configural and metric level. A multidimensional scaling analysis revealed that the PVQ-RR perfectly reproduced the theorized order of the 19 values around the circle across groups. The current study established the PVQ-RR as a sound instrument to measure and to compare the hierarchies and correlates of values across cultures.

Bases teóricas sobre la evaluación de la calidad del servicio en salud / Theoretical bases on health service quality assessment

Exponer las diferentes conceptualizaciones y los modelos de evaluación de la calidad de servicio en salud, respecto a sus características, fundamentos, y diferencias a través del análisis y síntesis de los aspectos más significativos encontrados en la literatura. Se realizó una revisión bibliográfica, bajo el sustento teórico de los siguientes métodos teóricos: Análisis, síntesis, histórico lógico y análisis documental de 19 artículos completos, accesibles en el idioma español e inglés, recolectados de bases de datos académicos como Google Académico, Research Gate, PubMed, Cochrane Library, Scielo Salud pública. Destacar que la búsqueda, recolección y análisis se realizó en los meses de mayo a julio. Tras la revisión bibliográfica pone en manifiesto la falta de consenso entre los expertos en el tema de calidad respecto a su conceptualización, misma que ha evolucionado conforme al contexto, social, tecnológico y científico. En definitiva, las bases teóricas para la evaluación de la calidad de atención en el servicio de salud, el primer modelo específico aplicado a salud fue el modelo de Abedis Donabedian, continuando las bases teóricas con el paradigma de la desconfirmación liderada por el modelo nórdico de Grönroos, el modelo de Parasumaran, Berry y Zeithaml respecto a la brecha que existe entre las expectativas y percepción; y el modelo de Cronin Taylor respecto a la valoración de las percepciones. Así mismo, se concluye, que el constructo de calidad está en evolución y su interpretación depende del observador y sus prioridades en base a la adaptación del instrumento respecto al contexto de aplicabilidad.

To expose the different conceptualizations and models of health service quality evaluation, regarding their characteristics, foundations, extension and differences through the analysis and synthesis of the most significant aspects found in the literature. A bibliographic review was carried out under the theoretical support of the following theoretical methods: analysis, synthesis, logical history and documentary analysis of 18 complete articles, accessible in Spanish and English, collected from academic databases such as Google Scholar, Research Gate, PubMed, Cochrane Library, Scielo Public Health, the search, collection and analysis was carried out from May to July. The bibliographic review reveals the lack of consensus among experts on the subject of quality with respect to its conceptualization, which has evolved according to the social, technological and scientific context. In short, the theoretical bases for the evaluation of the quality of care in the health service, the first specific model applied to health was the Abedis Donabedian model, continuing the theoretical bases with the paradigm of disconfirmation led by the Nordic model of Grönroos, the model of Parasumaran, Berry and Zeithaml regarding the gap that exists between expectations and perception; and the Cronin Taylor model regarding the assessment of perceptions. It is also concluded that the quality construct is evolving and its interpretation depends on the observer and his or her priorities based on the adaptation of the instrument to the context of applicability

Health Measurement Model-Bringing a Life Course Perspective to Health Measurement: The PRISM Model.

Health is a multidimensional concept that is challenging to measure, and in the rapidly evolving developmental changes that occur during the first 21 years of human life, requires a dynamic approach to accurately capture the transitions, and overall arc of a complex process of internal and external interactions. We propose an approach that integrates a lifecourse framework with a layered series of assessments, each layer using a many to many mapping, to converge on four fundamental dimensions of health measurement-Potential, Adaptability, Performance, and Experience. The four dimensions can conceptually be mapped onto a plane with each edge of the resulting quadrilateral corresponding to one dimension and each dimensions assessment calibrated against a theoretical ideal. As the plane evolves over time, the sequential measurements will form a volume. We term such a model the Prism Model, and describe conceptually how single domain assessments can be built up to generate the holistic description through the vehicle of a layer of Exemplar Cases. The model is theoretical but future work can use the framework and principles to generate scalable and adaptable applications that can unify and improve the precision of serial measurements that integrate environmental and physiologic influences to improve the science of child health measurement.

Measurement Models for Carbon Dioxide Emission Factors of Passenger Cars Considering Characteristics of Roads and Traffic.

In order to effectively control carbon dioxide emissions of motorized vehicles, it is very important to measure their carbon dioxide emission factors. The objective of this paper was to develop measurement models for the carbon dioxide emission factors of passenger cars. Road systems of downtown areas of four typical Chinese counties were explored and 12 types of basic road networks were recognized and defined. With PTV Vissim, microscopic traffic simulation models were set up for every type of basic road network, average speeds of the simulated cars were collected, and carbon dioxide emissions were calculated using MOVES (Motor Vehicle Emission Simulator) software. For model development, the paper put forth two compound explanatory variables: the weighted average of segment lengths and the sum of critical ratios of volume to saturation flow rate. Six functional relationships for the variables were tested and the double exponential function was proven to be the most appropriate. Finally, for each of the 12 types of basic road networks, a measurement model for carbon dioxide emission factors was calibrated using the double exponential function for the variables. The measurement models can be used to estimate the carbon dioxide emissions of passenger cars concerning potential improvement schemes impacting traffic demand and/or traffic supply.

Measuring and Assessing Fluctuating and Authentic-Durable Happiness in Italian Samples.

On the basis of the self-centeredness and selflessness model, a new instrument assessing two distinct dimensions of happiness, fluctuating and authentic-durable, was developed. The current research aimed at examining the factor structure of the Italian version of the instrument, its psychometric properties and construct validity. To this end, two studies were carried out. Study 1 (N = 544) examined different measurement models, from unidimensional to multidimensional, from a fully symmetrical bifactor solution to a bifactor (S-1) solution. Findings indicated better and adequate fit indices for the last model. Using various samples (n = 1274) Study 2 confirmed the bifactor (S-1) structure and analysed psychometric properties, convergent and divergent validity and temporal stability of the instrument. Findings generally gave evidence of the multidimensional conceptualization of the construct, good levels of reliability values and adequate convergent validity of both scales. Discriminant validity showed mixed results from no association of age with authentic-durable happiness to weak and negative association with fluctuating happiness. Test-retest reliability displayed an adequate value of correlation coefficient for the two set scores of the authentic dimension and a value below the recommended cut-off criteria for the fluctuating dimension, where significant differences in the mean scores emerged. Future studies should aim to replicate the results of this research and attempt to overcome its limitations.

External correlates of the SPECTRA: Indices of psychopathology (SPECTRA) in a clinical sample.

The SPECTRA: Indices of Psychopathology is a broadband assessment inventory compatible with contemporary hierarchical models of psychopathology (internalizing, externalizing, reality impairing dimensions and global psychopathology factor). This study explored the SPECTRA's construct validity using a wide range of life event (extra-test) variables in a clinical sample. The life event variables included the following: education level, school failure, childhood adversity, suicide attempts, psychiatric hospitalizations, depression, psychotic symptoms, self-injury, substance abuse, arrests, physical violence, marital status, employment status and current medications. Results showed that all SPECTRA clinical scales had significant life event correlations. For the higher-order Spectra scales, the global index of psychopathology had the greatest number and range of life event correlations. Correlations for the externalizing and reality impairing Spectra scales provided solid validity evidence, while correlations for the internalizing Spectra scale were more diffuse. These findings provide the first non-test-based evidence of construct validity for the SPECTRA.

Hypothesis Testing Methods for Multivariate Multi-Occasion Intra-Individual Change.

In psychological and educational measurement, it is often of interest to assess change in an individual. The current study expanded on previous research by introducing methods that can evaluate individual change on multiple latent traits measured on multiple occasions. The four methods considered are the likelihood ratio test (LRT), the multivariate Wald test (MWT), the modified multivariate Wald test (MMWT), and the score test (ST). Simulation studies were conducted to examine the true positive rate (TPR) and the false positive rate (FPR) of the new methods under a conventional fixed-form test and a computerized adaptive test (CAT). Manipulated variables included the number of occasions, change magnitudes, patterns of change, and correlations between latent traits. Results revealed that, in terms of FPR, all methods except MWT had close adherence to the nominal significance level. Among the three methods, the LRT is recommended as it provided a balance between FPR and TPR. Larger change magnitude yielded higher TPR, regardless of the remaining factors. With the same test length, a CAT yielded higher TPR than a conventional test. Real-data examples are provided of identifying psychometrically significant change across two to four occasions using a multivariate adaptive self-report medical outcomes measure from hospitalized patients. The detection of significant change among the three methods agreed highly, and those patients identified as having significant change exhibited large profile differences, which provided support for the valid performance of the proposed methods.

A latent class analysis of attitudes concerning the acceptability of intimate partner violence in rural Senegal.

BACKGROUND: Research concerning the causes and consequences of intimate partner violence (IPV), particularly in less developed areas of the world, has become prominent in the last two decades. Although a number of potential causal factors have been investigated the current consensus is that attitudes toward IPV on the individual level, likely representing perceptions of normative behavior, and the normative acceptability of IPV on the aggregate level likely play key roles. Measurement of both is generally approached through either binary indicators of acceptability of any type of IPV or additive composite indexes of multiple indicators. Both strategies imply untested assumptions which potentially have important implications for both research into the causes and consequences of IPV as well as interventions aimed to reduce its prevalence. METHODS: Using survey data from rural Senegal collected in 2014, this analysis estimates latent class measurement models of attitudes concerning the acceptability of IPV. We investigate the dimensional structure of IPV ideation and test the parallel indicator assumption implicit in common measurement strategies, as well as structural and measurement invariance between men and women. RESULTS: We find that a two-class model of the acceptability of IPV in which the conditional probability of class membership is allowed to vary between the sexes is preferred for both men and women. Though the assumption of structural invariance between men and women is supported, measurement invariance and the assumption of parallel indicators (or equivalence of indicators used) are not. CONCLUSIONS: Measurement strategies conventionally used to operationalize the acceptability of IPV, key to modeling perceptions of norms around IPV, are a poor fit to the data used here. Research concerning the measurement characteristics of IPV acceptability is a precondition for adequate investigation of its causes and consequences, as well as for intervention efforts aimed at reducing or eliminating IPV.

Salinity Independent Flow Measurement of Vertical Upward Gas-Liquid Flows in a Small Pipe Using Conductance Method.

Flow measurement in gas-liquid two-phase flow is always a challenging work, because of the non-uniform phase distribution, severe slippage effect between phases, and different flow structures. Furthermore, the variation of salinity changes the water conductivity, which brings more difficulties to multiphase flow measurement. In this study, a methodology for flow measurement using the conductance method in gas-liquid two-phase flow with salinity change is proposed. The methodology includes the suitable conductivity detection method, the strategy of using combined sensors, and the measurement models of flow parameters. A suitable conductivity detection method that can guarantee that the sensor output is linearly proportional to the conductivity is proposed. This conductivity detection method can ensure that the sensors have a high and constant resolution in the conductivity variation caused by water holdup under the conditions of water conductivity change. Afterward, a combined sensor system consisting of a water holdup sensor, velocity sensor, and water conductivity sensor is designed and experimentally evaluated in gas-water two-phase flow in a 20 mm inner diameter pipe. Considering the non-uniform phase distribution, severe slippage effect between phases, different flow structures, and the variation of salinity, a new water holdup measurement model and flow velocity measurement models are established to achieve salinity independent water holdup measurement and flow velocity measurement for the first time.

Stronger Together: The Wechsler Adult Intelligence Scale-Fourth Edition as a Multivariate Performance Validity Test in Patients with Traumatic Brain Injury.

OBJECTIVE: This study was designed to evaluate the classification accuracy of a multivariate model of performance validity assessment using embedded validity indicators (EVIs) within the Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV). METHOD: Archival data were collected from 100 adults with traumatic brain injury (TBI) consecutively referred for neuropsychological assessment in a clinical setting. The classification accuracy of previously published individual EVIs nested within the WAIS-IV and a composite measure based on six independent EVIs were evaluated against psychometrically defined non-credible performance. RESULTS: Univariate validity cutoffs based on age-corrected scaled scores on Coding, Symbol Search, Digit Span, Letter-Number-Sequencing, Vocabulary minus Digit Span, and Coding minus Symbol Search were strong predictors of psychometrically defined non-credible responding. Failing ≥3 of these six EVIs at the liberal cutoff improved specificity (.91-.95) over univariate cutoffs (.78-.93). Conversely, failing ≥2 EVIs at the more conservative cutoff increased and stabilized sensitivity (.43-.67) compared to univariate cutoffs (.11-.63) while maintaining consistently high specificity (.93-.95). CONCLUSIONS: In addition to being a widely used test of cognitive functioning, the WAIS-IV can also function as a measure of performance validity. Consistent with previous research, combining information from multiple EVIs enhanced the classification accuracy of individual cutoffs and provided more stable parameter estimates. If the current findings are replicated in larger, diagnostically and demographically heterogeneous samples, the WAIS-IV has the potential to become a powerful multivariate model of performance validity assessment. BRIEF SUMMARY: Using a combination of multiple performance validity indicators embedded within the subtests of theWechsler Adult Intelligence Scale, the credibility of the response set can be establishedwith a high level of confidence. Multivariatemodels improve classification accuracy over individual tests. Relying on existing test data is a cost-effective approach to performance validity assessment.