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1,381 to 1,390 of 1,947 Results
Replication data for: "Which simulator to use for maritime education and training? - An assessment using multi-criteria decision-making methods"
Dec 1, 2022
Tusher Hasan Mahbub, 2022, "Replication data for: "Which simulator to use for maritime education and training? - An assessment using multi-criteria decision-making methods"", https://doi.org/10.23642/USN.20043662, DataverseNO, V1
DATASET MIGRATED FROM FIGSHARE: Description of data: The data files include preliminary survey responses from simulator experts to be used in combination with data scripts from MATLAB using JAGS for Best-Worst Method (Mohammadi & Rezaei, 2020). In this study, we investigated different types of maritime simulators and assessed their suitability of u...
Data from survey for Bayesian Best-Worst Method (BBWM).csv
Dec 1, 2022 - Replication data for: "Which simulator to use for maritime education and training? - An assessment using multi-criteria decision-making methods"
Comma Separated Values - 51.1 KB - MD5: a296c85ada5e10d6e29765973ed185dc
Data from survey for Bayesian Best-Worst Method (BBWM).csv
Local and Global weights for BBWM by MATLAB.txt
Dec 1, 2022 - Replication data for: "Which simulator to use for maritime education and training? - An assessment using multi-criteria decision-making methods"
Plain Text - 4.6 KB - MD5: 6933e4fa7baf74054e13fb47f8f86526
Local and Global weights for BBWM by MATLAB.txt
Readme.txt
Dec 1, 2022 - Replication data for: "Which simulator to use for maritime education and training? - An assessment using multi-criteria decision-making methods"
Plain Text - 2.2 KB - MD5: b4f3c1bbf2b986351bf8bceff7b4d086
Readme.txt
Replication data for: Laboured reading and musculoskeletal pain in school children - the role of lifestyle behaviour and eye wear: a cross-sectional study.
Aug 3, 2022
Baraas Rigmor C.; Thorud Hanne Mari Schiøtz, 2022, "Replication data for: Laboured reading and musculoskeletal pain in school children - the role of lifestyle behaviour and eye wear: a cross-sectional study.", https://doi.org/10.23642/USN.19045460, DataverseNO, V1
DATASET MIGRATED FROM FIGSHARE: As a part of a school vision testing program, the children completed an online questionnaire about general and ocular health, socioeconomic status, academic ambition, near work and related symptoms, upper body musculoskeletal pain, and physical and outdoor activities. Data file: Data from 192 Norwegian school childre...
Dataset Thorud et al.txt
Aug 3, 2022 - Replication data for: Laboured reading and musculoskeletal pain in school children - the role of lifestyle behaviour and eye wear: a cross-sectional study.
Plain Text - 117.4 KB - MD5: 433715b5ccfd820de06d81209c5c7d21
Dataset Thorud et al.txt
Dataset Thorud et al.xlsx
Aug 3, 2022 - Replication data for: Laboured reading and musculoskeletal pain in school children - the role of lifestyle behaviour and eye wear: a cross-sectional study.
MS Excel Spreadsheet - 40.4 KB - MD5: 0e922fa0b0e8d70c4f5079ccb114e825
Dataset Thorud et al.xlsx
README.txt
Aug 3, 2022 - Replication data for: Laboured reading and musculoskeletal pain in school children - the role of lifestyle behaviour and eye wear: a cross-sectional study.
Plain Text - 6.6 KB - MD5: 91b1b19040a26e8a76a8bad293ba56c2
README.txt
Spørreskjema.pdf
Aug 3, 2022 - Replication data for: Laboured reading and musculoskeletal pain in school children - the role of lifestyle behaviour and eye wear: a cross-sectional study.
Adobe PDF - 106.1 KB - MD5: 08fff84f9021f4393ba63e52c25b0c06
Spørreskjema.pdf
Search strategies for a review article on learning and competence for the unforeseen and innovation
Jun 30, 2022
Saltveit Vibeke; Telle-Wernersen Didrik, 2022, "Search strategies for a review article on learning and competence for the unforeseen and innovation", https://doi.org/10.23642/USN.20192714, DataverseNO, V1
DATASET MIGRATED FROM FIGSHARE: Search strategies for a review article on learning and competence for the unforeseen and innovation are described. Contains strategies for the databases PsycInfo, ERIC and Web of Science. See the readme.txt for further documentation.
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