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163 results for “psychometrics”
Dataset of Measurement and conceptualization of maternal PTSD following childbirth: Psychometric properties of the City Birth Trauma Scale – French version (City BiTS-F)
<p>The City Birth Trauma Scale (City BiTS-F) was developed to assess posttraumatic stress disorder following childbirth (PTSD-FC), based on the PTSD criteria of the DSM-5. Recent studies investigating the latent factor structure of PTSD-FC symptoms in women reported mixed results. Given that no validated French questionnaire exists to measure PTSD-FC symptoms, this study first aimed to validate the French version of the CBTS (City BiTS-F). Second, it aims to establish the latent factor structure of PTSD-FC.</p> <p>This dataset contains data on the mental health (i.e., PTSD-CB, depression, anxiety) of 541 mothers who gave birth during the last 12 months. Sociodemegraphic data such as maternal age, marital status, educational level, parity, gravidity, weeks of gestation, type of delivery, history of traumatic childbirth, or history of traumatic event is available. </p> <p>This dataset is related to: Sandoz, V., Hingray, C., Stuijfzand, S., Lacroix, A., El Hage, W., & Horsch, A. (2022). Measurement and conceptualization of maternal PTSD following childbirth: Psychometric properties of the City Birth Trauma Scale—French Version (City BiTS-F). <em>Psychological Trauma: Theory, Research, Practice, and Policy, 14</em>(4), 696–704. <a href="https://psycnet.apa.org/doi/10.1037/tra0001068">https://doi.org/10.1037/tra0001068</a></p>
Dataset of The latent factor structure and assessment of childbirth-related PTSD in fathers and co-parents: psychometric characteristics of the City Birth Trauma Scale – French version (partner version)
<p>Little is known about the latent factor structure of CB-PTSD symptoms in co-parents (i.e., (a non-expecting mother or father). The City Birth Trauma Scale (City BiTS) was developed to assess childbirth-related posttraumatic stress disorder following childbirth (CB-PTSD), based on the PTSD criteria of the DSM-5. Still, no validated French questionnaire exists to assess CB-PTSD symptoms in co-parents. This study aimed (1) to establish the latent factor structure of CB-PTSD, and (2) to validate the French version of the City BiTS (partner version). </p> <p>This dataset contains data on the mental health (i.e., CB-PTSD, depression, anxiety) of 282 co-parents who had an infant within the last 12 months. Sociodemographic data such as age, marital status, educational level, weeks of gestation, type of delivery, history of traumatic childbirth, or history of a traumatic event is available. </p>
Psychometric Properties of the Maslach Burnout Inventory in Healthcare Professionals, Ancash Region, Peru
<p><strong>Background:</strong> Burnout syndrome (BS) among healthcare professionals in Peru demands immediate attention. Consequently, there is a need for a validated and standardized instrument to measure and address it effectively. This study aimed to determine the psychometric properties of the Maslach Burnout Inventory (MBI) among healthcare professionals in the Ancash region of Peru.</p> <p><strong>Methods:</strong> Using an instrumental design, this study included 303 subjects of both sexes (77.56% women), ranging in age from 22 to 68 years (M = 44.46, SD = 12.25), selected via purposive non-probability sampling. Appropriate content validity, internal structure validity, and item internal consistency were achieved through confirmatory factor analysis, and discriminant validity for the three dimensions was obtained. Evidence of convergent validity was found for the Emotional Exhaustion (EE) and Personal Accomplishment (PA) dimensions, with reliability values (ω > .75).</p> <p><strong>Results:</strong> The EE and PA dimensions exhibited acceptable levels of reliability (ω and α > .80). However, the Depersonalization (DP) dimension demonstrated significantly lower reliability (α < .60 and ω < .50).</p> <p><strong>Conclusions:</strong> A correlated three-factor model was confirmed, with most items presenting satisfactory factor loadings and inter-item correlations. Nonetheless, convergent validity was not confirmed for the DP dimension.</p> <p><strong>Keywords: </strong>Burnout; Psychometrics; Validity; Reliability; Healthcare Professionals.</p>
Online Supplement for An Arabic Version of The Visual Aesthetics of Websites Inventory (AR-VisAWI): Translation and Psychometric Properties
<p>This is the online supplement for a translation of the Visual Aesthetics of Websites Inventory into Arabic (AR-VisAWI). </p> <p>In the field of human-computer interaction, the concept of visual aesthetics gained popularity after researchers started to recognize its merits and effects on user experience. Yet, no proper instrument exists to assess the visual aesthetics of websites that are intended for users who speak Arabic as their native language. As such, the aim of this study was to develop and evaluate an Arabic version of the Visual Aesthetics of Websites Inventory (VisAWI, Moshagen & Thielsch, 2010) and its short version (VisAWI-S, Moshagen & Thielsch, 2013). For this purpose, participants were asked to evaluate a randomly assigned website with the AR-VisAWI and with different validating instruments. A final sample of 223 participants was included in the analyses.</p> <p>This online supplement includes</p> <ul> <li>a codebook describing all instructions and items</li> <li>raw data (anonymised) and analysis script (Note: The raw data contains only the information of persons who have agreed to be included in the analysis. Some demographic information was deleted to ensure anonymity.)</li> <li>Questionnaire template and scoring instructions</li> </ul>
Data Sets for Evaluation of the Psychometric Properties and Validity of the German Version of the Process Model of Emotion Regulation Scale (PMERQ)
<p>Data files relate to an investigation of the psychometric properties of the German Version of the Process Model of Emotion Regulation Scale (PMERQ). Data set 1 (pmerq_1) contains information regarding the age, gender, ethnicity, and educational status of participants. In addition, responses to the 45 items of the initial translation of the 10-scale PMERQ are included. Data set 2 (pmerq_2) contains identical sociodemographic variables and responses to the 45 items of the revised translation of the 10-scale PMERQ. In addition, data set 2 contains responses to the 16-item German Interpersonal Emotion Regulation Questionnaire (IERQ), the 10-item German Emotion Regulation Questionnaire (ERQ), , the German version of the 10-item Big Five Inventory-10 (BFI-10), the 4-item German version of the Patient Health Questionnaire-4 (PHQ-4), the German version of the Satisfaction with Life Scale (SWLS), and the 17-item German Social Desirability Scale-17 (SES-17). Data set 2 (pmerq_2) contains identical sociodemographic variables and responses to the 45 items of the readability-improved translation of the 10-scale PMERQ. In addition, data set 2 contains responses to the German version of the Satisfaction with Life Scale (SWLS) and the German version of the 9-items UCLA Loneliness Scale (UCLA).</p>
Do Large Language Models Have a Personality? A Psychometric Evaluation with Implications for Clinical Medicine and Mental Health AI Dataset
Open the record for dataset details and reuse information.
Positive and Negative Affect Schedule (PANAS): psychometric properties for the online version in a clinical sample with emotional disorders
<p>This dataset contains sociodemographic and clinical data about 595 patients with emotional disorders that participated in a study with the objective of examining the psychometric properties of the online version of the Positive and Negative Affect Schedule (PANAS) in Spanish clinical sample.</p> <p> </p> <p> </p>
Dataset to analyze the psychometric and structural properties of a scale designed to measure attitudes to integrated flood risk management
<p>The content of this reference includes the dataset generated by means of a questionnaire survey to a representative sample (N=406) of a city of Zamora (Spain). It contains 39 columns (c) which represents the following variables: Flooding area (c1); Flood risk perception (c2 to c7); Attitudes toward flood mitigation measures (c8 to c22); Perceived efficiency of general flood mitigation measures (c23 to c28); Assessment of the adequacy of overall flood risk management in the city and neighborhood (c29 to c30); Safety, environment, and economy preferences in flood risk management (c31 to c33); Postal code (c34); Age (c35); Age intervals (c36); sex (c37); Factorial saved loadings (c38 to c39).</p>
Psychometric Instruments in Software Engineering Research on Personality: Status Quo After Fifty Years
<p>Step files.</p>
DIB _Dataset for the psychometric properties of the construction of a verbal aptitude test instrument to assess prospective high school students' majors
<p>The dataset consists of raw data from the response to the construct resulting from the development of a verbal aptitude test instrument and the results of data analysis using the Rasch model analysis approach.</p>
DIB_Dataset for the psychometric properties of the construction of a verbal aptitude test instrument to assess prospective high school students' majors
<p>The dataset consists of raw data from the response to the construct resulting from the development of a verbal aptitude test instrument and the results of data analysis using the Rasch model analysis approach.</p>
Cross-cultural Adaptation of the Toxic Masculinity Scale Among Indonesian Nursing Students: A Psychometric Testing
ClinicalTrials.gov study NCT07192406. IPD Sharing: UNDECIDED. Countries: 1. Publications: 4.
Clinical Study of Macitentan in Patients With Pulmonary Arterial Hypertension to Psychometrically Validate the PAH-SYMPACT Instrument
ClinicalTrials.gov study NCT01841762. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Psychometric Testing: Cued vs. Learned Suppression
ClinicalTrials.gov study NCT06074523. IPD Sharing: YES. Countries: 1. Publications: 1.
data set related to article Linking Sleep to Externalizing Behavioral Difficulties: A Longitudinal Psychometric Survey in a Cohort of Italian School-Age Children
<pre>This record contains raw data related to article Linking Sleep to Externalizing Behavioral Difficulties: A Longitudinal Psychometric Survey in a Cohort of Italian School-Age Children</pre>
Psychometric properties of Patient-Reported Outcomes Common Terminology Criteria for Adverse Events (PRO-CTCAE®) in breast cancer patients: the prospective observational multicenter VIP study.
<p>Dataset for the proposed manuscript Psychometric properties of Patient-Reported Outcomes Common Terminology Criteria for Adverse Events (PRO-CTCAE®) in breast cancer patients: the prospective observational multicenter VIP study. </p>
Translation, cross-cultural adaptation, and evaluation of psychometric properties of cystic fibrosis stigma scale
<pre>Search database</pre>
Psychometric Assessment of the Structural-Functional Social Support Scale (SFSSS) among Chinese Older Adults
<p>The data for the psychometric assessment of the Structural-Functional Social Support Scale (SFSSS) among Chinese older adults of Study 1, Study 2 and Test-retest reliability.</p> <p> </p>
Psychometric properties of intentional and unintentional non-adherence measurement tools
<p><span>Background</span><span>: Distinguishing intentional from unintentional non-adherence (persistent forgetfulness) is key when contemplating interventions to optimise medication adherence.</span></p> <p><span>Objective</span><span>: To categorise patient-reported-outcome measures (PROM) into their propensity to detect intentional and unintentional non-adherence to medication, and to synthesise their psychometric properties.</span></p> <p><span>Design</span><span>: Review's conduct and reporting were based on the PRISMA-2020 checklist and COSMIN-2018 guidelines. We searched publications from January 1980 –1 March 2022 in MEDLINE, EMBASE, CINAHL, International Pharmaceutical Abstracts and Cochrane Library. Articles describing the PROM development and validation of the scoring </span><span>methods to categorise patients into non or adherent, and those which incorporated a proxy measure for adherence were included. We assessed the quality of studies using the COSMIN risk of bias tool and included studies which described a minimum of 2 psychometric properties. Open-ended PROM items, which were without a method of scoring, or translated versions were excluded. To ensure an exhaustive binning process, 2 reviewers independently evaluated and coded every criterion-item for possible inclusion into both an outcome and a process domain bin deemed fit.</span></p> <p><span>Outcomes</span><span>: Outcome domain-bins were intentional, unintentional or mixed. Process domains were behaviour (e.g., self-efficacy), barrier (e.g., impaired dexterity), or belief (e.g., perception). PROM were assigned an overall category of either intentional(I), unintentional (UI) or mixed (UI/I) depending on the collective leading domain of the individual criterion-items.</span></p> <p><span>Results</span><span>: 59 PROM were validated among patients aged 18 to 85 years in the USA and UK, Europe (Netherlands, Belgium, France, Spain, Switzerland), Middle East (Turkey) and Australasia (Malaysia, China, Australia). 44 PROM were primarily intentional (I=491 criterion-items) while 13 were mixed (I=79/ UI=50) and the remaining 2, unintentional (UI=5). The corresponding process domains were belief (n=383 items), barrier (n=192 items), and behaviour (165 items). Psychometrics evaluation revealed heterogeneity for: i) PROM definitions – severity cut-off scores, and scoring method (ordinal, dichotomised, visual analogue scale), and for ii) criterion validity –varied proxy measures used (biomarkers, pill count, electronic monitors). One's belief, behaviour, and barriers encountered were likely indicators for I, UI and mixed U/I non-adherence respectively.</span></p> <p><span>Conclusion</span><span>: Medication non-adherence that is primarily intentional, is highly prevalent. Eight intentional and 2 partial intentionality PROM exhibited adequate psychometric properties. Fortification of patients' knowledge and illness perception, as opposed to daily reminders alone, is necessary.</span></p>
Four psychometrically validated datasets for benchmarking large language models, based on the TIMSS 2008 and 2011 released items.
<p>Four datasets validated according to psychometric principles that can be used to benchmark large language models in terms of achievements in advanced school math, advanced school physics, 8th grade math and 8th grade science.</p> <p>These four datasets are derived from items released by Trends in International Mathematics and Science Study Advanced 2008 and Trends in International Mathematics and Science Study 2011. See <a href="https://nces.ed.gov/timss/released-questions.asp">link</a>.</p> <p>For more information, see our paper <a href="https://arxiv.org/abs/2404.01799">PATCH! Psychometrics-AssisTed benCHmarking of Large Language Models: A Case Study of Mathematics Proficiency</a>.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.