As online data collection services such as Amazon's Mechanical Turk (MTurk) gain popularity, the quality and representativeness of such data sources have gained research attention. To date, the majority of existing studies have compared MTurk workers with undergraduate samples, localized community samples, or other Internet-based samples, and thus, there remains little known about the personality and mental health constructs of MTurk workers relative to a national representative sample. The present study addresses these limitations and broadens the scope of existing research through the use of the Personality Assessment Inventory, a multiscale, self-report questionnaire which provides information regarding data validity and personality and psychopathology features standardized against a national U.S. census-matched normative sample. Results indicate that MTurk workers generally provide high-quality data and are reasonably representative of the general population across most psychological dimensions assessed. However, several distinguishing features of MTurk workers emerged that were consistent with prior findings of such individuals, primarily involving somewhat higher negative affect and lower social engagement.

Criterion A, as represented by Level of Personality Functioning (LPF), offers a means by which to conceptualize the core impairment in self and interpersonal functioning that distinguishes personality disorder (PD) from other forms of psychopathology. One of the most widely cited criticisms of the current Section II in Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition categorical diagnostic system is the high level of comorbidity among the categorical PD diagnoses. The Section III alternative Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition model for PDs (AMPD) addresses this problem by assessing the commonalities of the PDs using a single severity continuum, represented in the AMPD by the Level of Personality Functioning Scale (LPFS), which comprises both self and interpersonal pathology. Since its initial introduction, the LPFS has generated an expansive literature base and has also seen significant advancements in its measurement, including both semistructured and self-report methods. Such studies have generally demonstrated that the LPFS can be rated reliably, across both experienced and inexperienced raters, and demonstrates strong validity as evidenced by associations with relevant criterion variables and demonstrations of predictive and clinical utility. This review offers a brief history of the conceptualization and development of Criterion A and the LPFS, describes the major advancements in its measurement, and provides a summary of the status of the empirical literature regarding Criterion A's structure, reliability, and validity.

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The Personality Assessment Inventory (PAI) is a multiscale, standardized self-administered questionnaire designed to provide a comprehensive assessment of client personality and psychopathology. The measure demonstrates widespread use in clinical, research, and training settings, with practical applications across several assessment specialties, including forensics, neuropsychology, health, and personnel selection. This chapter provides an overview of the theory and development of the PAI, summarizes the psychometric literature, and highlights notable research findings and practical applications of the PAI. The PAI is additionally discussed with respect to its conceptual fit with contemporary dimensional models of personality and psychopathology, including the Hierarchical Taxonomy of Psychopathology and the Alternative Model of Personality Disorders presented in the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders.

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Objective This study presents an examination of the influence of response format on convergence between performance‐based and self‐report assessments of similar mental health constructs, to determine if such method variance might account for prior findings of lack of relationship. Methods An online sample of 455 participants (57% male; average age, 35.5) completed a multiple‐choice version of the Rorschach and two self‐report instruments, the Personality Assessment Inventory (PAI) and the International Personality Item Pool (IPIP) representation of the domain traits of the five‐factor model (FFM). Results Several significant interrelationships emerged between the Rorschach Amplified Multiple Choice Test and the PAI and IPIP five‐factor scales. Conclusions These findings suggest that the Rorschach can correlate meaningfully with similar constructs assessed using self‐report methodology when comparable response formats are utilized.