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Skip search results from other journals and go to results- 37 Journal of Medical Internet Research
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Measurement reliability was evaluated using person separation indices with defined thresholds: 0.67-0.80 (fair), 0.81-0.90 (good), 0.91-0.94 (very good), and >0.94 (excellent) [33]. The strata were classified as follows: 2 (poor), 2-3 (fair), 3-4 (good), 4-5 (very good), and >5 (magnificent). To confirm model fit, we ran repeated Rasch analyses, modifying items to create new scales and assessing person reliability, separation indices, and scale-to-sample targeting.
J Med Internet Res 2025;27:e64591
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The objective of this study was to explore the acceptability and technical reliability of 2 wearable sensors that are commonly used by people with PD.
This study is reported in line with the CROSS checklist (Consensus-Based Checklist for Reporting of Survey Studies) [12] (Table S1 in Multimedia Appendix 1).
JMIR Form Res 2025;9:e63704
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The second goal of this study was to alter stopping rules to improve reliability and, more specifically, to achieve clinically relevant reliability (eg, reliability ≥0.95). This is especially important today as the NIH Toolbox is increasingly being used with clinical populations and in clinical settings, even though it was developed specifically for use in research.
JMIR Form Res 2025;9:e60215
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Although previous validation studies lack consensus and have defined varying accuracy thresholds, this study classified a device as having very high accuracy if MAPE was
Reliability was assessed using the within-subject coefficient of variation (WSCV), calculated based on the differences between the tested devices and the reference data, where lower values indicate greater consistency.
JMIR Cardio 2025;9:e67110
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It included 22 questions from the TUQ, using a 7-point Likert scale, to assess the ease of use and learnability, interface quality, interaction quality, reliability, satisfaction and future use, and usefulness. The remaining questions ascertained participants’ demographics and details on the respondent’s use of the videoconferencing system in the ICU. Free-text comment boxes were available to gather additional qualitative data.
JMIR Hum Factors 2025;12:e54560
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Cronbach α and Intraclass correlation coefficient (ICC) were used to assess the internal consistency and test-retest reliability of the instrument. A Cronbach α≥0.70 indicated good internal consistency, while ICC>0.70 indicated good time stability [23]. The I-CVI and the Scale CVI/Average (S-CVI/Ave) were used to evaluate content validity of the instrument. I-CVI≥0.78 and S-CVI/Ave≥0.90 indicate satisfactory content validity [24].
JMIR Hum Factors 2025;12:e65373
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Using Wear Time for the Analysis of Consumer-Grade Wearables’ Data: Case Study Using Fitbit Data
reliability
JMIR Mhealth Uhealth 2025;13:e46149
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Digital Health Literacy Questionnaire for Older Adults: Instrument Development and Validation Study
A KMO value close to 1 and P
Validation factor analysis, convergent and discriminant validity tests, content validity tests, validity scale assessments, and internal consistency reliability tests were conducted on the second round of formal questionnaire test samples (N=355) to verify the reliability and validity of the questionnaire.
To further verify the structural validity of the questionnaire, confirmatory factor analysis was conducted using the maximum likelihood method to estimate model parameters.
J Med Internet Res 2025;27:e64193
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However, since these devices are usually tested in healthy populations, knowledge of the validity and reliability of collected data is generally limited when applied to different groups of patients. Therefore, a growing body of literature focused on the validity and reliability of consumer wearable devices for step counting, with generally positive results [17-19].
JMIR Form Res 2025;9:e63153
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