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189 results for “scale development;”

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geo12/100

The molecular basis of scale development highlighted by a single-cell atlas of Bicyclus anynana butterfly pupal forewings

GEO Series GSE241536. Bicyclus anynana. 1 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenApr 2024View details →
geo12/100

Large-Scale Gene Expression Profiling of Developing Soybean Seeds of Evans

GEO Series GSE61350. Glycine max. 10 samples. Type: Expression profiling by array.

openGEO-OpenSep 2014View details →
zenodo12/100

Data set from Dellafiore F, Arrigoni C, Ghizzardi G, Baroni I, Conte G, Turrini F, Castiello G, Magon A, Pittella F, Caruso R. Development and validation of the pressure ulcer management self-efficacy scale for nurses. J Clin Nurs. 2019 Sep;28(17-18):3177-3188. doi: 10.1111/jocn.14875. Epub 2019 Apr 21. PMID: 30938908.

<p>Data set from Dellafiore F, Arrigoni C, Ghizzardi G, Baroni I, Conte G, Turrini F, Castiello G, Magon A, Pittella F, Caruso R. Development and validation of the pressure ulcer management self-efficacy scale for nurses. J Clin Nurs. 2019 Sep;28(17-18):3177-3188. doi: 10.1111/jocn.14875. Epub 2019 Apr 21. PMID: 30938908</p> <p>&nbsp;</p> <p>This is the abstract:</p> <p><strong>Background:&nbsp;</strong>Pressure ulcers (PUs) represent a current issue for healthcare delivery. Nurse self-efficacy in managing PUs could predict patients&#39; outcome, being a proxy assessment of their overall competency to managing PUs. However, a valid and reliable scale of this task-specific self-efficacy has not yet been developed.</p> <p><strong>Objectives:&nbsp;</strong>To develop a valid and reliable scale to assess nurses&#39; self-efficacy in managing PUs, that is, the pressure ulcer management self-efficacy scale for nurses (PUM-SES).</p> <p><strong>Methods:&nbsp;</strong>This study had a multi-method and multi-phase design, where study reporting was supported by the STROBE checklist (File S1). Phase 1 referred to the scale development, consisting in the items&#39; generation, mainly based on themes emerged from the literature and discussed within a panel of experts. Phase 2 focused on a three-step validation process: the first step aimed to assess face and content validity of the pool of items previously generated (initial version of the PUM-SES); the second aimed to assess psychometrics properties through exploratory factorial analysis; the third step assessed construct validity through confirmative factorial analysis, while concurrent validity was evaluated describing the relationships between PUM-SES and an established general self-efficacy measurement. Reliability was assessed through the evaluation of stability and internal consistency.</p> <p><strong>Results:&nbsp;</strong>PUM-SES showed evidence of face and content validity, adequate construct and concurrent validity, internal consistency and stability. Specifically, PUM-SES had four domains, labelled as follows: assessment, planning, supervision and decision-making. These domains were predicted by the same second-order factor, labelled as PU management self-efficacy.</p> <p><strong>Conclusion:&nbsp;</strong>PUM-SES is a 10-item scale to measure nurses&#39; self-efficacy in PU management. A standardised 0-100 scoring is suggested for computing each domain and the overall scale. PUM-SES might be used in clinical and educational research.</p> <p><strong>Relevance to clinical practice:&nbsp;</strong>Optimising nurses&#39; self-efficacy in PU management might enhance clinical assessment, determining better outcomes in patients with PUs.</p> <p>&nbsp;</p>

restrictedSep 2020View details →
zenodo12/100

Nursing self-efficacy for oral anticoagulant therapy management: Development and initial validation of a theory-grounded scale

<p>Dataset from Magon A, Arrigoni C, Fava A, Pittella F, Villa G, Dellafiore F, Conte G, Caruso R. Nursing self-efficacy for oral anticoagulant therapy management: Development and initial validation of a theory-grounded scale. Appl Nurs Res. 2021 Jun;59:151428. doi: 10.1016/j.apnr.2021.151428. Epub 2021 Mar 23. PMID: 33947515.</p> <p>Abstract</p> <p><strong>Aim:&nbsp;</strong>This study aimed to develop and validate a nursing self-efficacy scale for OAC management (SE-OAM).</p> <p><strong>Background:&nbsp;</strong>Oral anticoagulant therapy (OAC) requires specific nursing competencies. Given that self-efficacy acts as a proxy assessment of nursing competence, its measurement is pivotal for addressing educational programs to enhance nursing competence in managing OAC. Thus far, the measurement of self-efficacy in OAC is undermined by the unavailability of valid and reliable tools.</p> <p><strong>Methods:&nbsp;</strong>A multi-method and multi-phase design was adopted: Phase one was a methodological study encompassing developmental tasks for generating items. Phase two comprised the validation process for determining the content validity, construct and concurrent validity, and internal consistency through two cross-sectional data collections.</p> <p><strong>Results:&nbsp;</strong>In total, 190 nurses were enrolled for determining the psychometric structure of the SE-OAM through an exploratory approach, and 345 nurses were subsequently enrolled to corroborate its most plausible factor structure derived from the exploratory analysis. The SE-OAM showed evidence of face and content validity, adequate construct, concurrent validity, good internal consistency, and stability. The final version of the scale encompassed 21 items kept by five domains: clinical management, care management, education, clinical monitoring, and care monitoring.</p> <p><strong>Conclusions:&nbsp;</strong>The SE-OAM showed evidence of initial validity and reliability, fulfilling a current gap in the availability of tools for measuring nursing self-efficacy in managing OAC. SE-OAM could be strategic for performing research to improve the quality of OAC management by enhancing nursing self-efficacy.</p>

restrictedJan 2022View details →
zenodo12/100

Development and Psychometric Validation of the Nursing Self-Efficacy Scale for Managing Cancer Treatment-Induced Cardiotoxicity: An Exploratory Mixed-Method Study.

<p>Magon A, Conte G, Arrigoni C, Dellafiore F, de Maria M, Pittella F, Rocco G, Stievano A, Ghizzardi G, Caruso R. Development and Psychometric Validation of the Nursing Self-Efficacy Scale for Managing Cancer Treatment-Induced Cardiotoxicity: An Exploratory Mixed-Method Study. Semin Oncol Nurs. 2022 Nov 18:151367. doi: 10.1016/j.soncn.2022.151367. Epub ahead of print. PMID: 36411124.</p> <p>Abstract</p> <p><strong>Objective:&nbsp;</strong>Assessing nursing self-efficacy could be strategic to sustain nursing competence. This study aimed to develop and validate the nursing self-efficacy scale for managing cancer treatment-induced cardiotoxicity (NSS-CTC).</p> <p><strong>Data sources:&nbsp;</strong>An exploratory mixed-method study was performed by including two main phases. The first comprised the developmental tasks to generate the initial pool of items, including a literature review and a consensus meeting based on a nominal group technique. The second phase initially involved an external panel of experts in assessing the content validity of the novel scale, followed by a cross-sectional data collection to perform exploratory factor analysis by employing a multicenter and convenience sampling approach. The most plausible psychometric structure derived from the exploratory factor analysis was tested with a confirmatory factor analysis using a second data collection round on another sample enrolled with a multicenter and convenience sampling approach. Internal consistency was assessed using Cronbach&#39;s alfa.</p> <p><strong>Conclusion:&nbsp;</strong>The NSS-CTS is a novel 15-item self-report measure for assessing nurse self-efficacy in dealing with cancer treatment-related cardiotoxicity. Its two plausible domains were labeled knowledge-related self-efficacy (Cronbach&#39;s &alpha; = 0.924) and practice-related self-efficacy (Cronbach&#39;s &alpha; = 0.937); the factor analyses in both samples showed adequate fit to sample statistics. Future studies are necessary to corroborate its construct validity and assess its measurement invariance across various country contexts.</p> <p><strong>Implications for nursing practice:&nbsp;</strong>Assessing nursing self-efficacy for managing cancer treatment-induced cardiotoxicity is a promising approach for identifying educational gaps and promoting nursing competency in this particular area of cancer care.</p>

restrictedJan 2023View details →
zenodo12/100

Development and validation of the parents' healthcare needs scale for adolescents with congenital heart disease.

<p>Dellafiore F, Arrigoni C, Flocco SF, Barello S, Pagliara F, Bascape B, Nania T, Baroni I, Russo S, Vangone I, Conte G, Magon A, Chessa M, Caruso R. Development and validation of the parents&#39; healthcare needs scale for adolescents with congenital heart disease. J Pediatr Nurs. 2022 Dec 16:S0882-5963(22)00321-9. doi: 10.1016/j.pedn.2022.12.006. Epub ahead of print. PMID: 36529596.</p> <p><strong>Abstract</strong></p> <p><strong>Purpose:&nbsp;</strong>The healthcare needs of parents of adolescents with congenital heart disease (CHD) have been under-investigated as no valid and reliable tools have been developed for assessing their needs. Therefore, this study aims to develop and validate the Parents&#39; Healthcare Needs Scale for adolescents with CHD (PHNS-CHD).</p> <p><strong>Design and methods:&nbsp;</strong>A multi-method approach and multi-phase design were employed. Phase one referred to generating scale items based on emerging themes in the literature, and phase two showed the validation process, divided into three steps. Step one tested the content and face validity of the first version of the PHNS-CHD. After that, step two described the initial psychometric validation process of scale using an exploratory factorial analysis (EFA). Then, step three confirmed the PHNS-CHD factorial structure and assessed its internal consistency.</p> <p><strong>Results:&nbsp;</strong>The PHNS-CHD showed evidence of face and content validity, adequate construct, and internal consistency and stability. Specifically, it had 22 items grouped into five domains, labeled as follows: Healthcare education to the child; to be supported as a parent, clinical support to the child, the continuum of care to the child; emotional support to the child.</p> <p><strong>Conclusions:&nbsp;</strong>The PHNS-CHD is a psychometrically robust measure for assessing the healthcare needs of parents of adolescents with CHD.</p>

restrictedJan 2023View details →
zenodo8/100

MalDevGenome: A Longitudinal and Large-Scale AndroidMalware Developer Dataset

<p>Dataset for the paper &quot;MalDevGenome: A Longitudinal and Large-Scale AndroidMalware Developer Dataset&quot;.</p> <p>We have collected 1,411,830 apps from 10,708 different malware developer. These apps belongs to 1,035 different malware families. We provided the basic information, anti-virus detection result and sensitive behaviors of the apps, including app name, package name, apk file hashes, developer certificate hashes, permission, service, content provider, activity, broadcast receiver, library, hardcode string and the malware family name. And we will upload some representative malware developers&rsquo; application APK files later.</p> <p>As far, we uploaded 3 CSV file, including app basic informations, Virustotal&#39;s detection results and sensitive behaviors .</p> <p>(1)MalDevGenome_basic_info.csv</p> <p>App basic informations, including app name, package name, developer signature, apk file hashes, AV-Rank, malware family, etc.</p> <p>(2)MalDevGenome_virustotal_detection.csv</p> <p>Detailed VirusTotal&#39;s detection, including AV-Rank and details detection information of each anti-virus engine. These data are indexed according to Apk file MD5.</p> <p>(3)MalDevGenome_sensitive_behaviors.csv</p> <p>The sensitive behaviors of the samples, including permission, service, content provider, activity, broadcast receiver, library and hardcode string, etc. These data are indexed according to Apk file MD5.</p>

restrictedJan 2020View details →
zenodo8/100

The development of the Awe Experience Scale (AWE-S): A multifactorial measure for a complex emotion

<p>Two dataset of the research &quot;The development of the Awe Experience Scale (AWE-S): A multifactorial measure for a complex emotion&quot;</p>

restrictedJul 2018View details →
zenodo4/100

Living with earthquake-related thoughts: The initial validation and development of the Earthquake Obsession Scale (EOS)

<p>Data set</p>

restrictedSep 2023View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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