Development of a Computerized Adaptive Test of Personality Disorder (CAT-PD)
人格障碍计算机自适应测试(CAT-PD)的开发
基本信息
- 批准号:7680013
- 负责人:
- 金额:$ 52.99万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2008
- 资助国家:美国
- 起止时间:2008-08-27 至 2013-05-31
- 项目状态:已结题
- 来源:
- 关键词:AdultAlgorithmsAptitudeAreaAttenuatedBehaviorCalibrationCharacteristicsClinicalCollectionCommunitiesComputer softwareConfusionConsensusDSM-IVDSM-VData CollectionDevelopmentDiagnosisDimensionsDiscriminationEnsureFoundationsGeneral PopulationGoalsHealth Services ResearchImpairmentInternationalInterventionLabelLeadLifeLiteratureMeasurementMeasuresMental HealthMethodologyMethodsMilitary PersonnelMissionModelingNIH Program AnnouncementsNational Institute of Mental HealthNatureOutcomeParticipantPathologyPatient Self-ReportPatientsPersonalityPersonality AssessmentPersonality DisordersPersonality TestsPhasePlant RootsPopulationProceduresProxyPsychometricsPsychopathologyPublic DomainsPublic HealthQuestionnairesResearchResearch PersonnelResourcesRiskSamplingSelf-Injurious BehaviorServicesSoftware DesignStructureSuicideSystemTechniquesTestingTheoretical modelTractionUpper armWorkWritingbasecomputerizedcostdesignforeign languagefunctional disabilityhealth care service utilizationimprovedinnovationnovelprogramspsychologicpublic health relevanceresearch studyresponsesimulationsoftware developmentstatisticstheoriestooltraittreatment response
项目摘要
DESCRIPTION (provided by applicant): Personality disorders are common in the general population and are particularly prevalent among psychiatric patients. Of concern, personality disorders are associated with a number of adverse outcomes, including suicidality, attenuated treatment response, increased utilization of health care services, and significant functional impairment. It is therefore crucial that clinicians and researchers have tools available to efficiently assess this key aspect of psychological functioning. Unfortunately, many common measures of personality pathology are quite long and inefficient and/or must be administered and scored by professional staff. Moreover, a number of categorical and dimensional models of personality pathology have been proposed, but the lack of integration and comprehensiveness among these models has led to confusion in health care and research settings and has resulted in a decrease in assessment of personality pathology. Thus, in the proposed research, our general aims are to (a) identify a comprehensive and integrative set of dimensions relevant to personality pathology, and (b) develop an efficient computerized adaptive method the CAT-PD to measure these dimensions. Computerized adaptive tests (CATs) are rooted in modern psychometric methods and are designed to select items for administration that are tailored individually to each patient, which typically leads to significant gains in measurement efficiency with little or no cost to test reliability or validity. To accomplish our general goals, we plan a five-phase project in which we (Phase 1) identify the content domains to be assessed and develop the initial item pool based on the public domain International Personality Item Pool (IPIP), (Phase 2) collect self-report item responses from two samples each of psychiatric patients (total N = 500) and community-dwelling adults (total N = 500) and conduct analyses of those responses to develop and cross-validate the CAT-PD scales, (Phase 3) calibrate the CAT-PD items using item response theory (IRT) and conduct CAT simulations to guide construction of the live CAT-PD software, (Phase 4) develop CAT-PD software based on the results of all previous phases, and (Phase 5) conduct a live-testing study of the CAT-PD in a new sample of psychiatric patients (N = 300) to study its efficiency and construct validity and establish cut points and scoring rules designed to increase the tool's practical utility across a wide variety of applied and research settings. It is our hope that the proposed research will help to integrate the numerous dimensional models of personality pathology, yield a comprehensive set and efficient measure of personality disorder dimensions, and contribute to advancements in personality disorder theory, research, diagnosis, and intervention. PUBLIC HEALTH RELEVANCE: Because personality disorders are common in the general population and are associated with a number of adverse outcomes, including suicidality, attenuated treatment response, increased utilization of health care services, and significant functional impairment, the proposed project is relevant to public health. It is crucial that clinicians and researchers have tools available to efficiently assess this key aspect of psychological functioning. The proposed research will help to integrate the numerous models of personality pathology, yield a comprehensive set and efficient measure of personality disorder dimensions, and contribute to advancements in personality disorder theory, research, diagnosis, and intervention.
描述(由申请人提供):人格障碍在一般人群中很常见,在精神病患者中尤其普遍。值得关注的是,人格障碍与许多不良结局相关,包括自杀倾向、减弱的治疗反应、增加的医疗保健服务利用和显著的功能障碍。因此,至关重要的是,临床医生和研究人员有可用的工具来有效地评估心理功能的这一关键方面。不幸的是,人格病理学的许多常见措施是相当长的和低效的和/或必须由专业人员管理和评分。此外,已经提出了一些人格病理学的分类和维度模型,但这些模型之间缺乏整合性和全面性,导致了医疗保健和研究环境的混乱,并导致人格病理学评估的减少。因此,在拟议的研究中,我们的总体目标是(a)确定一个全面和综合的一套维度相关的人格病理,(B)开发一个有效的计算机化的自适应方法CAT-PD来测量这些维度。计算机化自适应测试(CAT)植根于现代心理测量方法,旨在选择针对每个患者单独定制的项目进行管理,这通常会导致测量效率的显着提高,而测试可靠性或有效性的成本很小或没有。为了实现我们的总体目标,我们计划了一个五阶段的项目,其中我们(第一阶段)确定要评估的内容域,并根据公共领域的国际人格项目库(IPIP)开发初始项目库,(第二阶段)从每名精神病患者的两个样本中收集自我报告项目的反应(总N = 500)和社区居住成人(总N = 500),并对这些回答进行分析,以开发和交叉验证CAT-PD量表,(第3阶段)使用项目反应理论(IRT)校准CAT-PD项目,并进行CAT模拟,以指导实时CAT-PD软件的构建,(第4阶段)根据所有先前阶段的结果开发CAT-PD软件,(第5阶段)在新的精神病患者样本(N = 300)中进行CAT-PD的现场测试研究,以研究其效率和结构效度,并建立切割点和评分规则,旨在增加该工具在各种应用和研究环境中的实用性。我们希望这项研究将有助于整合人格病理学的众多维度模型,产生一套全面有效的人格障碍维度测量方法,并有助于人格障碍理论、研究、诊断和干预的进步。公共卫生相关性:由于人格障碍在一般人群中很常见,并与许多不良后果有关,包括自杀倾向、减弱的治疗反应、增加的医疗保健服务利用率和显著的功能障碍,因此拟议的项目与公共卫生有关。至关重要的是,临床医生和研究人员有工具可以有效地评估心理功能的这一关键方面。拟议的研究将有助于整合人格病理学的众多模型,产生一套全面和有效的人格障碍维度的测量,并有助于人格障碍理论,研究,诊断和干预的进步。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Leonard Jay Simms其他文献
Leonard Jay Simms的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Leonard Jay Simms', 18)}}的其他基金
Development of a Computerized Adaptive Test of Personality Disorder (CAT-PD)
人格障碍计算机自适应测试(CAT-PD)的开发
- 批准号:
8268498 - 财政年份:2008
- 资助金额:
$ 52.99万 - 项目类别:
Development of a Computerized Adaptive Test of Personality Disorder (CAT-PD)
人格障碍计算机自适应测试(CAT-PD)的开发
- 批准号:
8072988 - 财政年份:2008
- 资助金额:
$ 52.99万 - 项目类别:
Development of a Computerized Adaptive Test of Personality Disorder (CAT-PD)
人格障碍计算机自适应测试(CAT-PD)的开发
- 批准号:
7847464 - 财政年份:2008
- 资助金额:
$ 52.99万 - 项目类别:
相似海外基金
CAREER: Blessing of Nonconvexity in Machine Learning - Landscape Analysis and Efficient Algorithms
职业:机器学习中非凸性的祝福 - 景观分析和高效算法
- 批准号:
2337776 - 财政年份:2024
- 资助金额:
$ 52.99万 - 项目类别:
Continuing Grant
CAREER: From Dynamic Algorithms to Fast Optimization and Back
职业:从动态算法到快速优化并返回
- 批准号:
2338816 - 财政年份:2024
- 资助金额:
$ 52.99万 - 项目类别:
Continuing Grant
CAREER: Structured Minimax Optimization: Theory, Algorithms, and Applications in Robust Learning
职业:结构化极小极大优化:稳健学习中的理论、算法和应用
- 批准号:
2338846 - 财政年份:2024
- 资助金额:
$ 52.99万 - 项目类别:
Continuing Grant
CRII: SaTC: Reliable Hardware Architectures Against Side-Channel Attacks for Post-Quantum Cryptographic Algorithms
CRII:SaTC:针对后量子密码算法的侧通道攻击的可靠硬件架构
- 批准号:
2348261 - 财政年份:2024
- 资助金额:
$ 52.99万 - 项目类别:
Standard Grant
CRII: AF: The Impact of Knowledge on the Performance of Distributed Algorithms
CRII:AF:知识对分布式算法性能的影响
- 批准号:
2348346 - 财政年份:2024
- 资助金额:
$ 52.99万 - 项目类别:
Standard Grant
CRII: CSR: From Bloom Filters to Noise Reduction Streaming Algorithms
CRII:CSR:从布隆过滤器到降噪流算法
- 批准号:
2348457 - 财政年份:2024
- 资助金额:
$ 52.99万 - 项目类别:
Standard Grant
EAGER: Search-Accelerated Markov Chain Monte Carlo Algorithms for Bayesian Neural Networks and Trillion-Dimensional Problems
EAGER:贝叶斯神经网络和万亿维问题的搜索加速马尔可夫链蒙特卡罗算法
- 批准号:
2404989 - 财政年份:2024
- 资助金额:
$ 52.99万 - 项目类别:
Standard Grant
CAREER: Efficient Algorithms for Modern Computer Architecture
职业:现代计算机架构的高效算法
- 批准号:
2339310 - 财政年份:2024
- 资助金额:
$ 52.99万 - 项目类别:
Continuing Grant
CAREER: Improving Real-world Performance of AI Biosignal Algorithms
职业:提高人工智能生物信号算法的实际性能
- 批准号:
2339669 - 财政年份:2024
- 资助金额:
$ 52.99万 - 项目类别:
Continuing Grant
DMS-EPSRC: Asymptotic Analysis of Online Training Algorithms in Machine Learning: Recurrent, Graphical, and Deep Neural Networks
DMS-EPSRC:机器学习中在线训练算法的渐近分析:循环、图形和深度神经网络
- 批准号:
EP/Y029089/1 - 财政年份:2024
- 资助金额:
$ 52.99万 - 项目类别:
Research Grant