The potential of this approach to expand our knowledge of category formation throughout adulthood is significant, offering a more complete account of age-related differences in multiple cognitive domains. The 2023 PsycINFO database record, owned by the APA, has all rights reserved.
Borderline personality disorder is a mental health condition that has received a substantial amount of research attention. A considerable shift in our knowledge of the disorder has taken place over the last three decades, a result of thorough and continuous research. At the same time, the growing enthusiasm for BPD persists, maintaining its upward trajectory. A critical discussion of clinical trial research trends on personality disorders, specifically borderline personality disorder (BPD), will be undertaken, aiming to identify significant research gaps, and to provide recommendations for future psychotherapy and pharmacotherapy study designs. This APA-owned PsycInfo Database record, copyright 2023, holds all reserved rights.
Within psychology, the evolution of factor analysis is uniquely positioned, mirroring the development of numerous psychological theories and assessments, which are equally dependent on its widespread application. We critically examine modern controversies and innovations in factor analytic techniques within this article, illustrated by concrete examples that progress from exploratory to confirmatory analysis. Besides, we offer counsel on surmounting typical obstacles in the investigation of personality disorders. Facilitating more adventurous empirical testing of theory-driven models requires a comprehensive understanding of factor analysis, including best and worst practices in model evaluation and selection. Furthermore, we highlight the necessity of aligning factor models more closely with our theories, and clearly articulating the criteria that either support or disprove the tested theories. These themes hold considerable promise for advancing our understanding, research, and treatment of personality disorders. The copyright holders of this PsycINFO Database Record (c) 2023 APA, all rights reserved, expect its return.
The majority of personality disorder (PD) research depends on self-reported details, often elicited from standardized self-report assessments or meticulously structured interviews. This data could potentially be sourced from archived documents within applied evaluative scenarios, or from specialized, anonymized research studies. Factors like disengagement, susceptibility to distractions, or an intention to portray a particular image can significantly affect the accuracy of self-reported assessments of personality characteristics. Risks to the reliability of the data gathered notwithstanding, embedded indicators of response validity are rarely a feature of measures employed in Parkinson's disease research. This article examines the necessity of validity measures and strategies for recognizing invalid self-reported data, providing recommendations for personality disorder researchers to identify and enhance the reliability of their self-report data. selleck products The American Psychological Association's 2023 PsycINFO database record, with all rights reserved, necessitates the return of this document.
In this article, we intend to further progress the research on personality disorder (PD) development by emphasizing recent innovative methodologies for (a) the measurement of personality pathology, (b) the modeling of the typical manifestations of personality pathology, and (c) the assessment of the processes influencing PD development. To address each of these issues, we analyze key areas of focus and research methodologies, supported by recent publications in Parkinson's Disease studies, potentially informing future studies. The American Psychological Association, owner of the copyright for this PsycINFO database record in 2023, asserts its complete rights.
Within this article, multimodal social relations analysis is introduced as a significant tool for studying personality pathology and addressing important limitations of past research. Data on participants' shared perceptions, emotional experiences, and social behaviors can be gathered by researchers using a design where groups of participants provide repeated ratings during their interactions in natural social contexts. To elucidate the social relations model's potential, we present its application in the analysis and conceptualization of these complex, dyadic data, demonstrating how it can be used to address the experiences and behaviors of individuals with personality disorders, along with the responses those individuals evoke in others. When constructing a study focused on multimodal social relations analysis, we suggest suitable settings and measures, and explore the practical and theoretical ramifications, as well as possible extensions of this analytical approach. The PsycINFO database record, copyright 2023 APA, all rights reserved, is to be returned.
Twenty years ago, ecological momentary assessment (EMA) emerged as a key element in the toolkit of methods for the study of personality pathology. selleck products Due to EMA's ability to facilitate modeling, (dys)function aligns with clinical theory by encompassing dynamic contextualized within-person processes. This includes examining when and how socio-affective responses might become disrupted in daily life. Despite its widespread use in the field, the lack of systematic work on the conceptual adequacy and cross-study consistency within the EMA framework of design choices and reporting standards for studies on personality disorders remains a significant oversight. EMA protocol design considerations have a profound influence on the reliability and accuracy of study findings, and differences in design choices affect the reproducibility and hence the trustworthiness of the final conclusions. We provide an overview of the crucial choices researchers make in designing an EMA studies, structuring these around density, depth, and duration. To ascertain the typical and widespread study designs employed, encompassing the aspects deemed crucial by personality disorder researchers, and pinpointing knowledge gaps, we examined pertinent studies published between 2000 and 2021. Out of the 66 unique EMA protocols, the studies scheduled approximately 65 assessments daily, with each assessment encompassing roughly 21 items. These studies lasted approximately 13 days, resulting in a compliance rate of approximately 75%. Frequently, studies featuring a higher density of data points had less in-depth analysis and shorter periods, while protocols characterized by longer durations were more likely to be deeper and more extensive. Valid research on personality disorders can be structured according to these factors, enabling the reliable identification of temporal dynamics in personality (dys)functioning; we offer recommendations. A list of sentences, as specified in the JSON schema, is required to be returned.
Experimental studies have been vital in providing insights into psychopathological processes affecting personality disorders (PDs). An evaluation of 99 articles, from 13 peer-reviewed journals, focused on experimental designs published between 2017 and 2021. Our study content adheres to the National Institute of Mental Health Research Domain Criteria (RDoC) framework, and this report provides specifics on the demographics, experimental protocol, sample size, and the statistical analyses. Our examination focuses on the disparity in RDoC domain representation, the representativeness of the recruited clinical cohorts, and the lack of sample diversity. Finally, we address the implications of the statistical power and the data analytic approaches employed. The current literature review necessitates a shift in future experimental PD research towards a more comprehensive investigation of RDoC constructs, a greater representativeness and diversity in participant recruitment, increased statistical power for detecting inter-individual differences, reliable measurement procedures, appropriate statistical analysis, and a heightened emphasis on experimental transparency. The rights to the 2023 PsycINFO database record are solely held by the APA.
We examine the methodological rigor of contemporary personality pathology studies, emphasizing the obstacles encountered in study design, assessment procedures, and data analysis due to the prevalent issues of comorbidity and heterogeneity. selleck products A thorough examination of this literature required us to review each published article in the two premier journals dedicated to research in personality pathology: Personality Disorders Theory, Research, and Treatment, and the Journal of Personality Disorders. This involved a 18-month period from January 2020 to June 2021 encompassing 23 issues and 197 individual articles. Upon review of this database, three personality pathologies stood out for significant attention in recent literature: borderline personality disorder (with 93 articles), psychopathy/antisocial personality disorder (with 39 articles), and narcissism/narcissistic personality disorder (with 28 articles). This review thus prioritizes these. Analyzing group-based designs, we find comorbidity-related concerns and recommend an alternative: researchers use a continuous assessment of psychopathology across multiple forms. Heterogeneity in diagnosis- and trait-based studies is addressed by our distinct recommendations. Concerning prior work, researchers are encouraged to use metrics that enable scrutiny at the criterion level and to routinely document criterion-related outcomes. In the case of the latter, we underline the necessity of exploring distinctive qualities when metrics are observed to be notably heterogeneous or having multiple dimensions. Lastly, we recommend researchers to diligently work toward a fully detailed and complete trait-dimensional model of personality disorders. In our view, the current alternative model of personality disorders should be augmented by including more in-depth content related to borderline characteristics, psychopathic tendencies, and narcissistic patterns. The PsycINFO database record, copyright 2023 by the APA, retains all rights.