Confirmatory factor analysis to evaluate construct validity of the Brief Pain Inventory (BPI).

Atkinson, Thomas M.; Sit, Laura; Mendoza, Tito R.; Fruscione, Mike; Lavene, Dawn; Shaw, Merville C.; Breitbart, William; Rosenfeld, Barry; Cleeland, Carlee; Basch, Ethan

doi:10.1200/jco.2010.28.15_suppl.e19505

Cited by 3 publications

(3 citation statements)

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“…0.11.1. presented as descriptive statistics and tests of differences between domiciles. Confirmatory Factor Analysis is the appropriate method for construct validation by taking into account the relationship between latent factors and observed variables, so that it potentially reduces measurement errors and thus increases statistical accuracy [8] .…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

Confirmatory factor analysis of celebrity worship, digital literacy, and nostalgia: Dataset of Indonesians

et al. 2020

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This dataset is a measurement of Celebrity Worship (CWS), Digital Literacy (DL), and Nostalgia (NA). The participants were (1) For CWS, N = 3,223 people (181 males, 3042 females; M age = 19.64 years old; SD age = 3.13 years), (2) For DL, N = 482 people (225 males, 257 females; M age = 25.16 years old; SD age = 8.54 years), (3) For NA, N = 658 people (140 males, 518 females; M age = 21.26 years old; SD age = 1.93 years). The data was obtained using a survey via Google Forms in June 2018 and April–July 2020 in Indonesia. The analysis techniques were confirmatory factor analyses/CFA using LISREL and test of differences using JASP. The data could be used by the Indonesian Ministry of Communication and Informatics (KEMENKOMINFO), Indonesian Ministry of Education and Culture (KEMENDIKBUD), Indonesian Ministry of Youth and Sports (KEMENPORA), as well as social marketers to map the three constructs in Indonesian youth and to prevent the adverse effects and impacts of celebrity worship, digital illiteracy, and inappropriate mode of nostalgia.

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Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

Confirmatory factor analysis of celebrity worship, digital literacy, and nostalgia: Dataset of Indonesians

et al. 2020

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“…Participants were recruited to evaluate construct validity of the ABCs against the Brief Pain Inventory (BPI) and the Patient Reported Outcomes Measurement Information System (PROMIS)-29, both of which are previously validated measures of pain. The BPI is meant to provide insight on the severity of pain experienced and the effect pain has on daily functioning in multiple domains as previously described [3]. Higher scores indicate worse pain and pain interference.…”

Section: Cohort 2 -Construct Validitymentioning

confidence: 99%

Development and Validation of The Activity-Based Checks (ABCs) of Pain: A Functional Pain Scale

Virgen,

Wright,

Renslo

et al. 2024

Preprint

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The Activity Based-Checks of Pain (ABCs) is a pain assessment tool incorporating activities of daily living and instrumental activities of daily living. Unlike widely used pain scales which are oftentimes unidimensional and highly subjective, the ABCs was designed to focus on function capabilities and limitations of patients due to pain. This study sought out to validate the factorial structure of the ABCs and assess its use in participants with chronic pain. Participants were recruited in two phases from Prolific; an online service designed to identify research participant recruitment based on study criteria. Phase one optimized the design of the ABCs, with 297 subjects selecting their preferred icon for each function and rating its understandability. The most preferred and understandable icons were then used in phase two, where 304 chronic pain participants completed the ABCs, PROMIS-29, additional PROMIS items that were analogous to the ABCs functions but not represented in the PROMIS-29, and the Brief Pain Inventory (BPI). Data was analyzed using exploratory factor analysis and confirmatory factor analysis demonstrating four factor loadings: multi-planal activities, sitting/hip flexor pain, walking/ambulation, and pain interference with lightweight unilateral activities. High internal consistency was demonstrated with all four factor loadings. Correlations between items in the ABCs, PROMIS, and BPI resulted in moderate to strong correlations demonstrating strong evidence for the validity of the ABCs as a functional pain assessment tool.

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“…After that, Yang and Xu solved the decision-making problem dealing with multiple data forms with a general decision-making model based on rules and utility-based information transformation methods [16]. Through multiobjective reasoning, ER has been applied in system prediction [17], automobile research and development, nuclear power plant site selection, inventory management [18], performance evaluation [19]. However, both XGBOOST and ER models can realize multi-source data modeling when the data are known or partially known.…”

Section: Literature Review Of Subject Area 21 Customer Value Analysismentioning

confidence: 99%

A Federated Learning-Based Civil Aviation Passenger Value Analysis Method and MaaS Construction Considerations in the Epidemic Background

Chen¹

2023

Business, Management and Economics

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Airline customer demand has plummeted since the COVID-19 pandemic, with about two-thirds of the world’s fleet grounded. Under such circumstances, the airline needs to adjust its market strategy. Mining the value of passengers and providing differentiated services for passengers with different values are key to the differentiated competition of airlines. In the case of ensuring data privacy, this study introduces a privacy-preserving federated learning method, which combines airline internal data with external operator data, comprehensively considers multiple dimensional characteristics of passengers. This study compares a unilateral model using airline data with a joint model combining airline internal data and operators through federated learning. The result shows that the joint model based on federated learning is more accurate than the unilateral model. Based on this result, this study puts forward the thinking about passenger mining and insight in the construction of MaaS under the epidemic situation, constructs a customer journey map according to the characteristics of the segmented population, and proposes the idea of providing different transportation services for the segmented population. This research provides important theoretical and practical implications for the airline digital transformation and MaaS construction under the epidemic.

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Confirmatory factor analysis to evaluate construct validity of the Brief Pain Inventory (BPI).

Cited by 3 publications

References 0 publications

Confirmatory factor analysis of celebrity worship, digital literacy, and nostalgia: Dataset of Indonesians

Confirmatory factor analysis of celebrity worship, digital literacy, and nostalgia: Dataset of Indonesians

Development and Validation of The Activity-Based Checks (ABCs) of Pain: A Functional Pain Scale

A Federated Learning-Based Civil Aviation Passenger Value Analysis Method and MaaS Construction Considerations in the Epidemic Background

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