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  1. Article ; Online: Rasch Analysis for Instrument Development: Why, When, and How?

    Boone, William J

    CBE life sciences education

    Winter 2016  Volume 15, Issue 4

    Abstract: This essay describes Rasch analysis psychometric techniques and how such techniques can be used by life sciences education researchers to guide the development and use of surveys and tests. Specifically, Rasch techniques can be used to document and ... ...

    Abstract This essay describes Rasch analysis psychometric techniques and how such techniques can be used by life sciences education researchers to guide the development and use of surveys and tests. Specifically, Rasch techniques can be used to document and evaluate the measurement functioning of such instruments. Rasch techniques also allow researchers to construct "Wright maps" to explain the meaning of a test score or survey score and develop alternative forms of tests and surveys. Rasch techniques provide a mechanism by which the quality of life sciences-related tests and surveys can be optimized and the techniques can be used to provide a context (e.g., what topics a student has mastered) when explaining test and survey results.
    MeSH term(s) Communication ; Humans ; Models, Educational ; Psychometrics/methods ; Research ; Statistics as Topic ; Surveys and Questionnaires
    Language English
    Publishing date Winter 2016
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2465176-X
    ISSN 1931-7913 ; 1931-7913
    ISSN (online) 1931-7913
    ISSN 1931-7913
    DOI 10.1187/cbe.16-04-0148
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Validating the Persian Intuitive Eating Scale-2 Among Breast Cancer Survivors Who Are Overweight/Obese.

    Nejati, Babak / Fan, Chia-Wei / Boone, William J / Griffiths, Mark D / Lin, Chung-Ying / Pakpour, Amir H

    Evaluation & the health professions

    2020  Volume 44, Issue 4, Page(s) 385–394

    Abstract: Women with breast cancer are at risk of being overweight/obese which may consequently increase mortality. Intuitive eating is an adaptive eating behavior which might be beneficial for weight outcomes. The present study validated the Persian Intuitive ... ...

    Abstract Women with breast cancer are at risk of being overweight/obese which may consequently increase mortality. Intuitive eating is an adaptive eating behavior which might be beneficial for weight outcomes. The present study validated the Persian Intuitive Eating Scale-2 (IES-2) among overweight/obese Iranian females with breast cancer. Women who were overweight/obese with breast cancer (n = 762; mean ± SD age = 55.1 ± 5.7 years) completed the following questionnaires: IES-2, General Self-Efficacy Scale (GSE-6), Hospital Anxiety and Depression Scale (HADS), Short Form-12 (SF-12), Weight Bias Internalization Scale (WBIS), Body Appreciation Scale-2 (BAS-2), and Eating Attitudes Test (EAT-26). Confirmatory factor analysis (CFA) and Rasch analysis were applied to examine the psychometric properties of the IES-2. Associations between IES-2 score and other scale scores were assessed. CFA and Rasch analysis suggested that the Persian IES-2 had robust psychometric properties and all IES-2 items were meaningful in their embedded domains. The four-factor structure of the Persian IES-2 was confirmed. Concurrent validity was supported by the positive correlations between the IES-2 score and scores on the GSE-6, SF-12 mental component, and BAS-2. Negative correlations were found between the IES-2 score and the HADS (anxiety and depression subscales), WBIS, and EAT-26. The present study demonstrated that the Persian IES-2 is a well-designed instrument and is applicable for women who are overweight/obese with breast cancer.
    MeSH term(s) Breast Neoplasms/complications ; Cancer Survivors ; Female ; Humans ; Intuition ; Iran ; Middle Aged ; Obesity ; Overweight ; Psychometrics ; Reproducibility of Results ; Surveys and Questionnaires
    Language English
    Publishing date 2020-10-15
    Publishing country United States
    Document type Journal Article
    ZDB-ID 603792-6
    ISSN 1552-3918 ; 0163-2787
    ISSN (online) 1552-3918
    ISSN 0163-2787
    DOI 10.1177/0163278720965688
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Book ; Online: Rasch Analysis in the Human Sciences

    Boone, William J / Staver, John R / Yale, Melissa S

    2014  

    Abstract: Rasch Analysis in the Human Sciences helps individuals, both students and teachers, master the key concepts and resources needed to use Rasch techniques for analyzing data from assessments to measure variables such as abilities, attitudes, and ... ...

    Author's details by William J. Boone, John R. Staver, Melissa S. Yale
    Abstract Rasch Analysis in the Human Sciences helps individuals, both students and teachers, master the key concepts and resources needed to use Rasch techniques for analyzing data from assessments to measure variables such as abilities, attitudes, and personality traits. Upon completion of the text, readers will be able to confidently evaluate the strengths and weaknesses of existing instrumentation, compute linear person measures and item measures, interpret Wright Maps, utilize Rasch software, and understand what it means to measure in the Human Sciences.   Each of the 24 chapters presents a key concept using a mix of theory and application of user-friendly Rasch software. Chapters also include a beginning and ending dialogue between two typical researchers learning Rasch, formative assessment check points, sample data fi les, an extensive set of application activities with answers, a one paragraph sample research article text integrating the chapter topic, quick-tips, and suggested readings.   Rasch Analysis in the Human Sciences will be an essential resource for anyone wishing to begin or expand their learning of Rasch measurement techniques, be it in the Health Sciences, Market Research, Education, or Cognitive Sciences.   “Rasch Analysis in the Human Sciences represents a much needed, practical, and approachable guide to the use of Rasch methods and models within the field of education in general and in STEM fields most particularly. With a future ever more guided by data-driven decision-making, it is essential that our educators become more familiar with fundamental measurement concepts. Dr. Boone’s new text provides readers with a powerful set of new skills, set within an accessible, easy to read framework.” Gregory Ethan Stone, Professor of Educational Foundations and Leadership, University of Toledo, Ohio, USA   “Bill Boone’s book leads educators as well as doctoral students to using Rasch as a model for measurement and profound interpretation of data and provides a profound and understandable introduction into a difficult topic.” Hans E. Fischer, Professor of Physics Education, University of Duisburg-Essen, Germany   “This book will be invaluable to those in the social sciences who want to improve the quality of our science through improved measurement.” Cynthia W. Kelly, Professor of Nursing, The University of Alabama, Tuscaloosa, Alabama, USA
    Keywords Education ; Educational psychology ; Educational tests and measurements ; Science/Study and teaching ; Statistics ; Politik Bildungspolitik ; Psychologie / Pädagogik Fortbildung / Erwachsenenbildung ; Psychologie / Pädagogik Pädagogik ; Technik / Wissen Statistik
    Language English
    Size Online-Ressource (XVI, 482 p. 189 illus., 24 illus. in color), online resource
    Publisher Springer Netherlands
    Publishing place Dordrecht ;s.l
    Document type Book ; Online
    Note Description based upon print version of record
    ISBN 9789400768567 ; 9789400768574 ; 9400768567 ; 9400768575
    DOI 10.1007/978-94-007-6857-4
    Database Library catalogue of the German National Library of Science and Technology (TIB), Hannover

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  4. Article: Design of a 3000-Pixel Transition-Edge Sensor X-Ray Spectrometer for Microcircuit Tomography.

    Szypryt, Paul / Bennett, Douglas A / Boone, William J / Dagel, Amber L / Dalton, Gabriella / Doriese, W Bertrand / Durkin, M / Fowler, Joseph W / Garboczi, Edward J / Gard, Johnathon D / Hilton, Gene C / Imrek, Jozsef / Jimenez, Edward S / Kotsubo, Vincent Y / Larson, Kurt / Levine, Zachary H / Mates, John A B / McArthur, Daniel / Morgan, Kelsey M /
    Nakamura, Nathan / O'Neil, Galen C / Ortiz, Nathan J / Pappas, Christine G / Reintsema, Carl D / Schmidt, Daniel R / Swetz, Daniel S / Thompson, Kyle R / Ullom, Joel N / Walker, Christopher / Weber, Joel C / Wessels, Abigail L / Wheeler, Jason W

    IEEE transactions on applied superconductivity : a publication of the IEEE Superconductivity Committee

    2019  Volume 31, Issue 5

    Abstract: Feature sizes in integrated circuits have decreased substantially over time, and it has become increasingly difficult to three-dimensionally image these complex circuits after fabrication. This can be important for process development, defect analysis, ... ...

    Abstract Feature sizes in integrated circuits have decreased substantially over time, and it has become increasingly difficult to three-dimensionally image these complex circuits after fabrication. This can be important for process development, defect analysis, and detection of unexpected structures in externally sourced chips, among other applications. Here, we report on a non-destructive, tabletop approach that addresses this imaging problem through x-ray tomography, which we uniquely realize with an instrument that combines a scanning electron microscope (SEM) with a transition-edge sensor (TES) x-ray spectrometer. Our approach uses the highly focused SEM electron beam to generate a small x-ray generation region in a carefully designed target layer that is placed over the sample being tested. With the high collection efficiency and resolving power of a TES spectrometer, we can isolate x-rays generated in the target from background and trace their paths through regions of interest in the sample layers, providing information about the various materials along the x-ray paths through their attenuation functions. We have recently demonstrated our approach using a 240 Mo/Cu bilayer TES prototype instrument on a simplified test sample containing features with sizes of ∼ 1
    Language English
    Publishing date 2019-10-11
    Publishing country United States
    Document type Journal Article
    ISSN 1051-8223
    ISSN 1051-8223
    DOI 10.1109/tasc.2021.3052723
    Database MEDical Literature Analysis and Retrieval System OnLINE

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