Pub Date : 2025-06-01Epub Date: 2025-04-07DOI: 10.1037/pas0001383
Güldamla Kalender, Sarah T Olsen, Edward H Patzelt, Deanna M Barch, Cameron S Carter, James M Gold, J Daniel Ragland, Steven M Silverstein, Angus W MacDonald, Alik S Widge
Computational psychiatry aims to quantify individual patients' psychiatric pathology by measuring behavior during psychophysical tasks and characterizing the neurocomputational parameters underlying specific decision-making systems. While this approach has great potential for informing us about specific computational processes associated with psychopathology, the fundamental psychometric properties of computational assessments remain understudied. Optimizing these psychometric properties, including test-retest reliability, is essential for clinical utility. To address this gap, we assessed the test-retest reliability of manifest behavior and computational model parameters of a probabilistic reward and reversal learning task, two-armed Bandit, using intraclass correlations (ICCs) in 179 adults, including those with various psychosis-spectrum disorders and undiagnosed controls. We studied two computational models from recent literature: regression modeling of choice strategies and a hidden Markov model. The test-retest reliability for both manifest behavior (0.24 ≤ ICCs ≤ 0.54) and computational parameters (0.30 ≤ ICCs ≤ 0.61) ranged from poor to moderate, which was not explained by practice effects. Computational parameters did not outperform manifest behavior parameters. The reliability of computational parameters was generally-though not significantly-higher in healthy adults, which may potentially reflect the internal heterogeneity of categorical psychiatric diagnoses. Computational modeling holds promise, but tasks and analyses must be optimized for greater reliability before proceeding into clinical use. (PsycInfo Database Record (c) 2025 APA, all rights reserved).
计算精神病学旨在通过测量心理物理任务中的行为和描述特定决策系统背后的神经计算参数来量化个体患者的精神病理学。虽然这种方法在告诉我们与精神病理学相关的特定计算过程方面具有很大的潜力，但计算评估的基本心理测量特性仍未得到充分研究。优化这些心理测量特性，包括重测信度，对临床应用至关重要。为了解决这一差距，我们使用类内相关性（ICCs）评估了179名成年人的显性行为和概率奖励和反转学习任务（双臂班迪特）的计算模型参数的测试-重测信度，包括那些患有各种精神谱系障碍和未确诊对照的成年人。我们从最近的文献中研究了两种计算模型：选择策略的回归模型和隐马尔可夫模型。表现行为（0.24≤ICCs≤0.54）和计算参数（0.30≤ICCs≤0.61）的重测信度均介于差到中等之间，不能用实践效应来解释。计算参数没有优于明显的行为参数。在健康成人中，计算参数的可靠性总体上（尽管不显著）更高，这可能潜在地反映了分类精神病学诊断的内部异质性。计算建模具有前景，但在进入临床应用之前，任务和分析必须优化以获得更高的可靠性。（PsycInfo Database Record (c) 2025 APA，版权所有）。
{"title":"Test-retest reliability of computational parameters versus manifest behavior for decisional flexibility in psychosis.","authors":"Güldamla Kalender, Sarah T Olsen, Edward H Patzelt, Deanna M Barch, Cameron S Carter, James M Gold, J Daniel Ragland, Steven M Silverstein, Angus W MacDonald, Alik S Widge","doi":"10.1037/pas0001383","DOIUrl":"10.1037/pas0001383","url":null,"abstract":"<p><p>Computational psychiatry aims to quantify individual patients' psychiatric pathology by measuring behavior during psychophysical tasks and characterizing the neurocomputational parameters underlying specific decision-making systems. While this approach has great potential for informing us about specific computational processes associated with psychopathology, the fundamental psychometric properties of computational assessments remain understudied. Optimizing these psychometric properties, including test-retest reliability, is essential for clinical utility. To address this gap, we assessed the test-retest reliability of manifest behavior and computational model parameters of a probabilistic reward and reversal learning task, two-armed Bandit, using intraclass correlations (ICCs) in 179 adults, including those with various psychosis-spectrum disorders and undiagnosed controls. We studied two computational models from recent literature: regression modeling of choice strategies and a hidden Markov model. The test-retest reliability for both manifest behavior (0.24 ≤ ICCs ≤ 0.54) and computational parameters (0.30 ≤ ICCs ≤ 0.61) ranged from poor to moderate, which was not explained by practice effects. Computational parameters did not outperform manifest behavior parameters. The reliability of computational parameters was generally-though not significantly-higher in healthy adults, which may potentially reflect the internal heterogeneity of categorical psychiatric diagnoses. Computational modeling holds promise, but tasks and analyses must be optimized for greater reliability before proceeding into clinical use. (PsycInfo Database Record (c) 2025 APA, all rights reserved).</p>","PeriodicalId":20770,"journal":{"name":"Psychological Assessment","volume":" ","pages":"273-287"},"PeriodicalIF":3.3,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12088905/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143803448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Supplemental Material for Analysis of the Sensitivity to Changes in the Inventory of Depression and Anxiety Symptoms–II (IDAS-II) Scores and Minimal Clinically Important Differences Regarding Quality of Life and Disability in Patients","authors":"","doi":"10.1037/pas0001389.supp","DOIUrl":"https://doi.org/10.1037/pas0001389.supp","url":null,"abstract":"","PeriodicalId":20770,"journal":{"name":"Psychological Assessment","volume":"20 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144229404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Supplemental Material for Preliminary Development and Validation of the Eating Pathology Clinical Outcomes Tracker","authors":"","doi":"10.1037/pas0001388.supp","DOIUrl":"https://doi.org/10.1037/pas0001388.supp","url":null,"abstract":"","PeriodicalId":20770,"journal":{"name":"Psychological Assessment","volume":"34 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144229411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Patrycja Sewerynek,Caroline Wagner,Thomas McGregor,Megan Skelton,Thalia C Eley
Evidence-based psychological treatments for anxiety and depression are widely used, yet roughly half of those treated do not respond. Treatment response prediction could help to optimize patient outcomes and use of clinical resources. However, existing longitudinal studies with potentially valuable predictors are unlikely to include comprehensive, prospective measures of symptoms throughout therapy. Single-item patient ratings of helpfulness and improvement are a potentially cost-effective and efficient alternative, but their relationship with typically used change score measures is unknown. Data were analyzed from 135 participants (124 female sex; 120 female gender; 127 White) who received cognitive-behavioral therapy. Anxiety symptoms (Generalized Anxiety Disorder-7), depression symptoms (Patient Health Questionnaire-9), and impairment (Work and Social Adjustment Scale) questionnaire scores were obtained before therapy (assessment), before each session, and 1-month posttreatment (follow-up). Helpfulness (binary) and improvement (continuous) ratings were collected at follow-up. Linear regression models assessed the relationship between helpfulness and improvement ratings and questionnaire change scores from the first to the last session. Logistic regressions modeled the relationships between single-item measures and National Health Service Talking Therapies outcomes, derived from questionnaire change scores. Helpfulness and improvement showed significant associations with questionnaire change scores as well as National Health Service Talking Therapies outcomes. In a joint model, improvement retained significant associations while helpfulness became nonsignificant. Improvement, and to a lesser extent helpfulness, patient ratings may be a cost-effective alternative for establishing treatment efficacy and outcome. The items' wording and response scales may underlie observed differences. While not equivalent to change score-based measures, they may be adequate for studies requiring large sample sizes. (PsycInfo Database Record (c) 2025 APA, all rights reserved).
基于证据的焦虑和抑郁心理治疗被广泛使用，但大约一半的治疗无效。治疗反应预测有助于优化患者预后和临床资源的利用。然而，现有的具有潜在预测价值的纵向研究不太可能包括整个治疗过程中症状的全面、前瞻性测量。单项患者评分的帮助和改善是一种潜在的成本效益和有效的替代方案，但它们与通常使用的变化评分措施的关系尚不清楚。数据分析来自135名参与者(124名女性；女性120名；127 White)接受认知行为疗法。在治疗前（评估）、每次治疗前和治疗后1个月（随访）分别获得焦虑症状（广泛性焦虑障碍-7）、抑郁症状（患者健康问卷-9）和损害（工作与社会适应量表）问卷得分。在随访时收集有用性（二元）和改善（持续）评分。线性回归模型评估了从第一次到最后一次的帮助和改进评级与问卷改变得分之间的关系。Logistic回归模拟了单项测量与国民健康服务谈话治疗结果之间的关系，这些结果来自问卷改变得分。帮助和改善与问卷改变得分和国民健康服务谈话治疗结果有显著关联。在联合模型中，改进保留了显著关联，而乐于助人变得不显著。改善，并在较小程度上有帮助，病人评分可能是一个具有成本效益的替代建立治疗效果和结果。项目的措辞和反应量表可能是观察到的差异的基础。虽然不等同于改变基于分数的衡量标准，但它们可能足以用于需要大样本量的研究。（PsycInfo Database Record (c) 2025 APA，版权所有）。
{"title":"Single-item patient-rated helpfulness and improvement as an alternative to standardized questionnaires for establishing anxiety and depression treatment efficacy.","authors":"Patrycja Sewerynek,Caroline Wagner,Thomas McGregor,Megan Skelton,Thalia C Eley","doi":"10.1037/pas0001390","DOIUrl":"https://doi.org/10.1037/pas0001390","url":null,"abstract":"Evidence-based psychological treatments for anxiety and depression are widely used, yet roughly half of those treated do not respond. Treatment response prediction could help to optimize patient outcomes and use of clinical resources. However, existing longitudinal studies with potentially valuable predictors are unlikely to include comprehensive, prospective measures of symptoms throughout therapy. Single-item patient ratings of helpfulness and improvement are a potentially cost-effective and efficient alternative, but their relationship with typically used change score measures is unknown. Data were analyzed from 135 participants (124 female sex; 120 female gender; 127 White) who received cognitive-behavioral therapy. Anxiety symptoms (Generalized Anxiety Disorder-7), depression symptoms (Patient Health Questionnaire-9), and impairment (Work and Social Adjustment Scale) questionnaire scores were obtained before therapy (assessment), before each session, and 1-month posttreatment (follow-up). Helpfulness (binary) and improvement (continuous) ratings were collected at follow-up. Linear regression models assessed the relationship between helpfulness and improvement ratings and questionnaire change scores from the first to the last session. Logistic regressions modeled the relationships between single-item measures and National Health Service Talking Therapies outcomes, derived from questionnaire change scores. Helpfulness and improvement showed significant associations with questionnaire change scores as well as National Health Service Talking Therapies outcomes. In a joint model, improvement retained significant associations while helpfulness became nonsignificant. Improvement, and to a lesser extent helpfulness, patient ratings may be a cost-effective alternative for establishing treatment efficacy and outcome. The items' wording and response scales may underlie observed differences. While not equivalent to change score-based measures, they may be adequate for studies requiring large sample sizes. (PsycInfo Database Record (c) 2025 APA, all rights reserved).","PeriodicalId":20770,"journal":{"name":"Psychological Assessment","volume":"33 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144065756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Supplemental Material for Single-Item Patient-Rated Helpfulness and Improvement as an Alternative to Standardized Questionnaires for Establishing Anxiety and Depression Treatment Efficacy","authors":"","doi":"10.1037/pas0001390.supp","DOIUrl":"https://doi.org/10.1037/pas0001390.supp","url":null,"abstract":"","PeriodicalId":20770,"journal":{"name":"Psychological Assessment","volume":"46 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144229410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Esther Ulitzsch,Wolfgang Viechtbauer,Oliver Lüdtke,Inez Myin-Germeys,Gabriel Nagy,Steffen Nestler,Gudrun Vera Eisele
When using the experience sampling method (ESM), researchers must navigate a delicate balance between obtaining fine-grained snapshots of phenomena of interest and avoiding undue respondent burden, which can lead to disengagement and compromise data quality. To guide that process, we investigated how questionnaire length and sampling frequency impact careless and insufficient effort responding (C/IER) as an important yet understudied aspect of ESM data quality. To this end, we made use of existing experimental ESM data (Eisele et al., 2022) from 163 students randomly assigned to one of two questionnaire lengths (30/60 items) and one of three sampling frequencies (3/6/9 assessments per day). We employed a novel mixture modeling approach (Ulitzsch, Nestler, et al., 2024) that leverages screen time data to disentangle attentive responding from C/IER and allows investigating how the occurrence of C/IER evolved within and across ESM study days. We found sampling frequency, but not questionnaire length, impacted C/IER, with higher frequencies resulting in higher overall C/IER proportions and sharper increases of C/IER across, but not within days. These effects proved robust across various model specifications. Further, we found no substantial relationships between model-implied C/IER and other engagement measures, such as self-reported attentiveness, attention checks, response-pattern-based attentiveness indicators, and compliance. Our findings contrast previous studies on noncompliance, suggesting that respondents may employ different strategies to lower the different types of burden imposed by questionnaire length and sampling frequency. Implications for designing ESM studies are discussed. (PsycInfo Database Record (c) 2025 APA, all rights reserved).
当使用经验抽样方法（ESM）时，研究人员必须在获得感兴趣的现象的细粒度快照和避免过度的受访者负担之间取得微妙的平衡，这可能导致脱离参与和损害数据质量。为了指导这一过程，我们调查了问卷长度和采样频率如何影响粗心和不充分的努力响应（C/IER），这是ESM数据质量的一个重要但尚未得到充分研究的方面。为此，我们利用现有的ESM实验数据（Eisele et al., 2022）， 163名学生被随机分配到两种问卷长度（30/60项）和三种抽样频率（每天3/6/9次评估）中的一种。我们采用了一种新颖的混合建模方法（Ulitzsch， Nestler等，2024），该方法利用屏幕时间数据来解开C/IER的注意力反应，并允许调查C/IER的发生在ESM研究期间和整个研究期间的演变。我们发现，抽样频率，而不是问卷长度，会影响C/IER，频率越高，总体C/IER比例越高，C/IER在几天内（但在几天内）的增长幅度越大。这些效应在各种模型规范中都被证明是健壮的。此外，我们发现模型隐含的C/IER与其他参与指标（如自我报告的注意力、注意力检查、基于响应模式的注意力指标和依从性）之间没有实质性的关系。我们的研究结果与以往的研究结果进行了对比，表明被调查者可能采用不同的策略来降低问卷长度和采样频率所带来的不同类型的负担。讨论了设计ESM研究的意义。（PsycInfo Database Record (c) 2025 APA，版权所有）。
{"title":"Investigating the effect of experience sampling study design on careless and insufficient effort responding identified with a screen-time-based mixture model.","authors":"Esther Ulitzsch,Wolfgang Viechtbauer,Oliver Lüdtke,Inez Myin-Germeys,Gabriel Nagy,Steffen Nestler,Gudrun Vera Eisele","doi":"10.1037/pas0001379","DOIUrl":"https://doi.org/10.1037/pas0001379","url":null,"abstract":"When using the experience sampling method (ESM), researchers must navigate a delicate balance between obtaining fine-grained snapshots of phenomena of interest and avoiding undue respondent burden, which can lead to disengagement and compromise data quality. To guide that process, we investigated how questionnaire length and sampling frequency impact careless and insufficient effort responding (C/IER) as an important yet understudied aspect of ESM data quality. To this end, we made use of existing experimental ESM data (Eisele et al., 2022) from 163 students randomly assigned to one of two questionnaire lengths (30/60 items) and one of three sampling frequencies (3/6/9 assessments per day). We employed a novel mixture modeling approach (Ulitzsch, Nestler, et al., 2024) that leverages screen time data to disentangle attentive responding from C/IER and allows investigating how the occurrence of C/IER evolved within and across ESM study days. We found sampling frequency, but not questionnaire length, impacted C/IER, with higher frequencies resulting in higher overall C/IER proportions and sharper increases of C/IER across, but not within days. These effects proved robust across various model specifications. Further, we found no substantial relationships between model-implied C/IER and other engagement measures, such as self-reported attentiveness, attention checks, response-pattern-based attentiveness indicators, and compliance. Our findings contrast previous studies on noncompliance, suggesting that respondents may employ different strategies to lower the different types of burden imposed by questionnaire length and sampling frequency. Implications for designing ESM studies are discussed. (PsycInfo Database Record (c) 2025 APA, all rights reserved).","PeriodicalId":20770,"journal":{"name":"Psychological Assessment","volume":"26 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143920973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lilian Y Li,Madeline M McGregor,Sarah E Sarkas,Aishwarya Sritharan,Lili Massac,Marissa Valdespino,Allison M Letkiewicz,Katherine Durham,Randy P Auerbach,Stewart A Shankman
The Children's Depression Rating Scale-Revised (CDRS-R) is a widely used interview measure of adolescent major depression (major depressive disorder), with sum scores and their changes over time interpreted as changes in one underlying construct. This interpretation assumes that the CDRS-R measures a single construct of depression (unidimensionality) in the same way across time (longitudinal invariance)-assumptions that have yet to be established but were tested in this study. Adolescents (N = 197; ages 13-18 years old) with lifetime major depressive disorder, as well as healthy controls, completed the CDRS-R and a self-reported depression symptom measure, the Inventory of Depression and Anxiety Symptoms (IDAS), at baseline and 6 months follow-up. Unidimensionality of the CDRS-R at both time points was tested using the one-factor confirmatory factor analysis (CFA). Longitudinal invariance of the factor structure was examined in a CFA framework, and longitudinal invariance of the construct validity was examined by testing whether the correlation between the CDRS-R and IDAS was equivalent across time. The one-factor CFA model with correlated uniqueness among the three observational items demonstrated excellent fit. Longitudinal invariance of the factor structure (invariant uniqueness) and construct validity was achieved. At both baseline and 6-month assessments, the CDRS-R demonstrated good internal consistency (αs > .89) and was highly correlated with the IDAS (> 0.70). Findings support the practice of comparing observed scores of the CDRS-R between the baseline and the 6-month assessment among adolescents. (PsycInfo Database Record (c) 2025 APA, all rights reserved).
{"title":"Longitudinal invariance of the Children's Depression Rating Scale-Revised in adolescents.","authors":"Lilian Y Li,Madeline M McGregor,Sarah E Sarkas,Aishwarya Sritharan,Lili Massac,Marissa Valdespino,Allison M Letkiewicz,Katherine Durham,Randy P Auerbach,Stewart A Shankman","doi":"10.1037/pas0001392","DOIUrl":"https://doi.org/10.1037/pas0001392","url":null,"abstract":"The Children's Depression Rating Scale-Revised (CDRS-R) is a widely used interview measure of adolescent major depression (major depressive disorder), with sum scores and their changes over time interpreted as changes in one underlying construct. This interpretation assumes that the CDRS-R measures a single construct of depression (unidimensionality) in the same way across time (longitudinal invariance)-assumptions that have yet to be established but were tested in this study. Adolescents (N = 197; ages 13-18 years old) with lifetime major depressive disorder, as well as healthy controls, completed the CDRS-R and a self-reported depression symptom measure, the Inventory of Depression and Anxiety Symptoms (IDAS), at baseline and 6 months follow-up. Unidimensionality of the CDRS-R at both time points was tested using the one-factor confirmatory factor analysis (CFA). Longitudinal invariance of the factor structure was examined in a CFA framework, and longitudinal invariance of the construct validity was examined by testing whether the correlation between the CDRS-R and IDAS was equivalent across time. The one-factor CFA model with correlated uniqueness among the three observational items demonstrated excellent fit. Longitudinal invariance of the factor structure (invariant uniqueness) and construct validity was achieved. At both baseline and 6-month assessments, the CDRS-R demonstrated good internal consistency (αs > .89) and was highly correlated with the IDAS (> 0.70). Findings support the practice of comparing observed scores of the CDRS-R between the baseline and the 6-month assessment among adolescents. (PsycInfo Database Record (c) 2025 APA, all rights reserved).","PeriodicalId":20770,"journal":{"name":"Psychological Assessment","volume":"137 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143914897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Supplemental Material for Measurement Invariance of the PTSD Checklist for the DSM-5 (PCL-5) in a Veteran Sample","authors":"","doi":"10.1037/pas0001396.supp","DOIUrl":"https://doi.org/10.1037/pas0001396.supp","url":null,"abstract":"","PeriodicalId":20770,"journal":{"name":"Psychological Assessment","volume":"6 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144229418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Supplemental Material for Investigating the Effect of Experience Sampling Study Design on Careless and Insufficient Effort Responding Identified With a Screen-Time-Based Mixture Model","authors":"","doi":"10.1037/pas0001379.supp","DOIUrl":"https://doi.org/10.1037/pas0001379.supp","url":null,"abstract":"","PeriodicalId":20770,"journal":{"name":"Psychological Assessment","volume":"10 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144229415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Adile Nexha,Melissa Alves Braga de Oliveira,Euclides José de Mendonça Filho,Ana Adan,Maria Paz Hidalgo,Benicio N Frey
Major depressive disorder (MDD) affects over 300 million people globally. The etiology of MDD is linked to circadian rhythm disruption, including the diurnal pattern of mood, cognition, and physiological processes. The revised Mood Rhythm Instrument (MRhI-r) was developed to assess self-perceived rhythmicity of symptoms and has previously been tested in nonclinical populations. This study evaluates the psychometric properties of the MRhI-r in a clinical MDD sample. Individuals with MDD and healthy controls completed the MRhI-r at baseline and after 2 weeks. Psychometric properties were assessed using confirmatory factor analysis (CFA) of factor structures previously determined in a nonclinical sample, item response theory (IRT), receiver operating characteristic (ROC) curves, internal consistency, and test-retest reliability. Sex differences in symptom peak frequency and timing were assessed within the MDD group. The sample included 102 MDD participants (65% female, ages 17-70, M ± SD = 37 ± 14) and 94 healthy controls (67% female, ages 18-72, M ± SD = 37 ± 15). CFA showed excellent model fit and IRT analysis indicated good item fit. ROC analysis showed a diagnostic threshold of 2.5 with 64% sensitivity and 72% specificity. The MRhI-r scores demonstrated good internal consistency (α = .78, ω = .82) and moderate test-retest reliability (r = 0.69). No sex differences were found in peak frequency or timing within the MDD group. The psychometric properties of the MRhI-r in individuals with MDD support the three-factor model seen in previous studies. This study assesses the psychometric properties of the MRhI-r in a clinical sample, endorsing its use for evaluating symptom rhythmicity in clinically depressed individuals. (PsycInfo Database Record (c) 2025 APA, all rights reserved).
重度抑郁症（MDD）影响着全球3亿多人。重度抑郁症的病因与昼夜节律紊乱有关，包括情绪、认知和生理过程的昼夜模式。修订后的情绪节律仪（MRhI-r）是为了评估自我感知的症状节律性而开发的，此前已在非临床人群中进行了测试。本研究评估临床重度抑郁症样本的核磁共振成像的心理测量特性。重度抑郁症患者和健康对照者在基线和2周后完成mri - hi -r。采用验证性因子分析（CFA）对先前在非临床样本中确定的因素结构、项目反应理论（IRT）、受试者工作特征（ROC）曲线、内部一致性和重测信度来评估心理测量特性。在重度抑郁症组中评估症状峰值频率和时间的性别差异。样本包括102名重度抑郁症参与者（65%为女性，年龄17-70岁，M±SD = 37±14）和94名健康对照者（67%为女性，年龄18-72岁，M±SD = 37±15）。CFA分析显示模型拟合良好，IRT分析显示项目拟合良好。ROC分析显示诊断阈值为2.5，敏感性64%，特异性72%。MRhI-r评分具有良好的内部一致性（α = 0.78, ω = 0.82）和中等的重测信度（r = 0.69）。在重度抑郁症组中，在峰值频率或时间上没有发现性别差异。MDD患者的核磁共振成像（MRhI-r）的心理测量特性支持先前研究中看到的三因素模型。本研究在临床样本中评估核磁共振成像的心理测量特性，支持其用于评估临床抑郁症患者的症状节律性。（PsycInfo Database Record (c) 2025 APA，版权所有）。
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