The Experts below are selected from a list of 152082 Experts worldwide ranked by ideXlab platform
Melissa D Zullo - One of the best experts on this subject based on the ideXlab platform.
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validation of an instrument to measure registered dietitians nutritionists knowledge attitudes and practices of an intuitive eating approach
Public Health Nutrition, 2016Co-Authors: Julie T Schaefer, Melissa D ZulloAbstract:Objective The purpose of the present study was to develop and assess the construct validity of a tool to measure knowledge, attitudes and practices of registered dietitians/nutritionists (RD/N) regarding an intuitive eating lifestyle. Design Cross-sectional study design that utilized a Survey administered to a random sample and remaining full population of RD/N. Setting A national Survey conducted via online Survey Software. Subjects A random sample of 10 % of all RD/N in the USA (n 8834) was invited to participate. Survey completion rate was 22·2 % (n 1897). After initial validation, the Survey was distributed to the remaining 90 % of RD/N to confirm validation. Results After removing items with insufficient factor loadings, results were consistent with a four-factor solution: (i) knowledge of intuitive eating; (ii) attitudes towards intuitive eating; (iii) traditional and restrictive practices; and (iv) non-restrictive and intuitive eating practices. Confirmatory factor analysis provided further evidence of the validity of the four factors and the factors had strong reliability. Conclusions Unlike the hypothesized three-factor solution (knowledge, attitudes and practices), validation analysis revealed that the Survey measures knowledge of intuitive eating, attitudes towards intuitive eating, use of traditional and restrictive weight-management practices, and use of non-restrictive and intuitive eating practices. With the landscape of weight management and health promotion undergoing a shift towards a health centred, size acceptance approach, this instrument will provide valuable information regarding the current knowledge, attitudes and practices of RD/N and other health promotion professionals.
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us registered dietitian nutritionists knowledge and attitudes of intuitive eating and use of various weight management practices
Journal of the Academy of Nutrition and Dietetics, 2015Co-Authors: Julie T Schaefer, Melissa D ZulloAbstract:Abstract Background Researchers have been advocating for a new weight-inclusive paradigm that focuses on health rather than weight. One important component of this model is intuitive eating. Although registered dietitian nutritionists (RDNs) are the nation's food and nutrition experts, RDNs' knowledge of and attitudes toward intuitive eating and use of traditional or restrictive strategies are unknown. Objective The purpose of this study was to characterize RDNs' knowledge of and attitudes toward an intuitive eating lifestyle and describe use of traditional weight management and nonrestrictive lifestyle practices with clients. Design This was a cross-sectional study. Participants A validated Survey was distributed using online Survey Software to 88,834 RDNs. Results There were 18,622 respondents who completed the Survey (25%). The majority of RDNs were knowledgeable about intuitive eating, answering 71% of items correctly. The majority of RDNs had a positive view on each attitude item. RDNs who work in weight management reported using nonrestrictive/intuitive eating practices more than traditional/restrictive practices. RDNs who were women ( P P P P P P Conclusions This study provides evidence that RDNs are using an intuitive eating approach more often than traditional weight management practices.
Julie T Schaefer - One of the best experts on this subject based on the ideXlab platform.
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validation of an instrument to measure registered dietitians nutritionists knowledge attitudes and practices of an intuitive eating approach
Public Health Nutrition, 2016Co-Authors: Julie T Schaefer, Melissa D ZulloAbstract:Objective The purpose of the present study was to develop and assess the construct validity of a tool to measure knowledge, attitudes and practices of registered dietitians/nutritionists (RD/N) regarding an intuitive eating lifestyle. Design Cross-sectional study design that utilized a Survey administered to a random sample and remaining full population of RD/N. Setting A national Survey conducted via online Survey Software. Subjects A random sample of 10 % of all RD/N in the USA (n 8834) was invited to participate. Survey completion rate was 22·2 % (n 1897). After initial validation, the Survey was distributed to the remaining 90 % of RD/N to confirm validation. Results After removing items with insufficient factor loadings, results were consistent with a four-factor solution: (i) knowledge of intuitive eating; (ii) attitudes towards intuitive eating; (iii) traditional and restrictive practices; and (iv) non-restrictive and intuitive eating practices. Confirmatory factor analysis provided further evidence of the validity of the four factors and the factors had strong reliability. Conclusions Unlike the hypothesized three-factor solution (knowledge, attitudes and practices), validation analysis revealed that the Survey measures knowledge of intuitive eating, attitudes towards intuitive eating, use of traditional and restrictive weight-management practices, and use of non-restrictive and intuitive eating practices. With the landscape of weight management and health promotion undergoing a shift towards a health centred, size acceptance approach, this instrument will provide valuable information regarding the current knowledge, attitudes and practices of RD/N and other health promotion professionals.
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us registered dietitian nutritionists knowledge and attitudes of intuitive eating and use of various weight management practices
Journal of the Academy of Nutrition and Dietetics, 2015Co-Authors: Julie T Schaefer, Melissa D ZulloAbstract:Abstract Background Researchers have been advocating for a new weight-inclusive paradigm that focuses on health rather than weight. One important component of this model is intuitive eating. Although registered dietitian nutritionists (RDNs) are the nation's food and nutrition experts, RDNs' knowledge of and attitudes toward intuitive eating and use of traditional or restrictive strategies are unknown. Objective The purpose of this study was to characterize RDNs' knowledge of and attitudes toward an intuitive eating lifestyle and describe use of traditional weight management and nonrestrictive lifestyle practices with clients. Design This was a cross-sectional study. Participants A validated Survey was distributed using online Survey Software to 88,834 RDNs. Results There were 18,622 respondents who completed the Survey (25%). The majority of RDNs were knowledgeable about intuitive eating, answering 71% of items correctly. The majority of RDNs had a positive view on each attitude item. RDNs who work in weight management reported using nonrestrictive/intuitive eating practices more than traditional/restrictive practices. RDNs who were women ( P P P P P P Conclusions This study provides evidence that RDNs are using an intuitive eating approach more often than traditional weight management practices.
Gregory D. Moody - One of the best experts on this subject based on the ideXlab platform.
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cargo cult science in traditional organization and information systems Survey research a case for using nontraditional methods of data collection including mechanical turk and online panels
2016Co-Authors: Paul Benjamin Lowry, John Darcy, Bryan Hammer, Gregory D. MoodyAbstract:Traditional organizational and information systems (IS) researchers have stridently resisted data collections using online data panels, such as Mechanical Turk (MTurk). Although many of their concerns are legitimate, we strongly disagree with the grounds and substance of their reasons for avoiding such data collections — especially their flawed assumption that paper-based Survey methods are inherently superior simply based on “tradition,” which is a highly unscientific practice we label as “cargo cult science.” To address this issue, we summarize several of the major criticisms traditionalists use against MTurk data, and we explain (1) how many of these criticisms apply more strongly to traditional Survey methods, and (2) how by using advanced features of MTurk in conjunction with Survey Software such as Qualtrics or Survey Monkey, researchers can navigate around many of these limitations. We conclude by demonstrating several leading practices that can be used to achieve high quality data collections with MTurk and the several advantages of doing so. Nonetheless, even when conducting traditional paper-based Surveys, researchers can benefit from several (not all) of the leading methodological practices that have been developed by those who have pushed the boundaries of data collection using online panels — including for organization-level data collections. We conclude by cautioning that no “proven” method without inherent flaws exists, and organizational and IS research would benefit from a clearer articulation and understanding of the range of methods and data sources available, along with their limitations and advantages.
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Cargo Cult science in traditional organization and information systems Survey research
The Journal of Strategic Information Systems, 2016Co-Authors: Paul Benjamin Lowry, John D'arcy, Bryan I. Hammer, Gregory D. MoodyAbstract:Traditional organization and information systems (IS) researchers have stridently resisted data collections using online data panels, such as Amazon's Mechanical Turk (MTurk). Although many of their concerns are legitimate, we strongly disagree with the grounds and substance of their reasons for avoiding such data collections-especially their flawed assumption that paper-based Survey methods are inherently superior simply based on "tradition", which is a highly unscientific practice we label as "cargo cult science". To address this issue, we summarize several of the major criticisms traditionalists use against MTurk data, and we explain (1) how many of these criticisms apply more strongly to traditional Survey methods, and (2) how by using advanced features of MTurk in conjunction with Survey Software such as Qualtrics or SurveyMonkey, researchers can navigate around many of these limitations. We conclude by demonstrating several leading practices that can be used to achieve high quality data collections with MTurk and the several advantages of doing so. Nonetheless, even when conducting traditional paper-based Surveys, researchers can benefit from several (not all) of the leading methodological practices that have been developed by those who have pushed the boundaries of data collection using online panels-including for organization-level data collections. We conclude by cautioning that no "proven" method without inherent flaws exists, and organization and IS research would benefit from a clearer articulation and understanding of the range of methods and data sources available, along with their limitations and advantages.
Alison H Mcgregor - One of the best experts on this subject based on the ideXlab platform.
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clinical interpretations of degenerative lumbar disc disease
Orthopaedic Proceedings, 2018Co-Authors: J A Deane, Alison H McgregorAbstract:Purpose and Background:Clinical interpretations of Degenerative Lumbar Disc Disease are not described in the literature. The purpose of this study was to establish a consensus of expert clinical opinion in order to fuel further research.Methods:A reliable and valid electronic Survey was designed to include theoretical constructs relating to training and education, general knowledge, assessment and management practices. Clinicians from the Society of Back Pain Research U.K. were invited to take part. Quantitative data was collated and coded using Bristol on-line Survey Software, and content analysis was used to systematically code and categorize qualitative data.Results:Respondents represented a wide range of clinical specialties. The majority graduated in the U.K. (87%), were clinically active and had greater than 9 years postgraduate clinical experience (84%).MRI (36%) and physical assessment (21%) were cited as the most important clinical assessment tools. Reduction in disc height (92%) and disc dehydra...
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clinical interpretations of degenerative lumbar disc disease
Journal of Bone and Joint Surgery-british Volume, 2016Co-Authors: J A Deane, Alison H McgregorAbstract:Purpose and Background: Clinical interpretations of Degenerative Lumbar Disc Disease are not described in the literature. The purpose of this study was to establish a consensus of expert clinical opinion in order to fuel further research. Methods: A reliable and valid electronic Survey was designed to include theoretical constructs relating to training and education, general knowledge, assessment and management practices. Clinicians from the Society of Back Pain Research U.K. were invited to take part. Quantitative data was collated and coded using Bristol on-line Survey Software, and content analysis was used to systematically code and categorize qualitative data. Results: Respondents represented a wide range of clinical specialties. The majority graduated in the U.K. (87%), were clinically active and had greater than 9 years postgraduate clinical experience (84%). MRI (36%) and physical assessment (21%) were cited as the most important clinical assessment tools. Reduction in disc height (92%) and disc dehydration (90%) were reported as the most important variables with respect to DLDD diagnosis. The most effective treatment approaches varied from education and reassurance, pain management, cognitive behavioural approaches to core stability training and group activity. Health professionals viewed the future of care advancement in terms of improvements in patient communication (35%) and education (38%). Treatment stratification (24%) and advancing evidence based management practices through research were also regarded as essential (27%). Conclusion: Spinal clinical experts have clear views on DLDD assessment. In terms of management the results are varied suggesting inconsistency and uncertainty.
Paul Benjamin Lowry - One of the best experts on this subject based on the ideXlab platform.
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cargo cult science in traditional organization and information systems Survey research a case for using nontraditional methods of data collection including mechanical turk and online panels
2016Co-Authors: Paul Benjamin Lowry, John Darcy, Bryan Hammer, Gregory D. MoodyAbstract:Traditional organizational and information systems (IS) researchers have stridently resisted data collections using online data panels, such as Mechanical Turk (MTurk). Although many of their concerns are legitimate, we strongly disagree with the grounds and substance of their reasons for avoiding such data collections — especially their flawed assumption that paper-based Survey methods are inherently superior simply based on “tradition,” which is a highly unscientific practice we label as “cargo cult science.” To address this issue, we summarize several of the major criticisms traditionalists use against MTurk data, and we explain (1) how many of these criticisms apply more strongly to traditional Survey methods, and (2) how by using advanced features of MTurk in conjunction with Survey Software such as Qualtrics or Survey Monkey, researchers can navigate around many of these limitations. We conclude by demonstrating several leading practices that can be used to achieve high quality data collections with MTurk and the several advantages of doing so. Nonetheless, even when conducting traditional paper-based Surveys, researchers can benefit from several (not all) of the leading methodological practices that have been developed by those who have pushed the boundaries of data collection using online panels — including for organization-level data collections. We conclude by cautioning that no “proven” method without inherent flaws exists, and organizational and IS research would benefit from a clearer articulation and understanding of the range of methods and data sources available, along with their limitations and advantages.
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Cargo Cult science in traditional organization and information systems Survey research
The Journal of Strategic Information Systems, 2016Co-Authors: Paul Benjamin Lowry, John D'arcy, Bryan I. Hammer, Gregory D. MoodyAbstract:Traditional organization and information systems (IS) researchers have stridently resisted data collections using online data panels, such as Amazon's Mechanical Turk (MTurk). Although many of their concerns are legitimate, we strongly disagree with the grounds and substance of their reasons for avoiding such data collections-especially their flawed assumption that paper-based Survey methods are inherently superior simply based on "tradition", which is a highly unscientific practice we label as "cargo cult science". To address this issue, we summarize several of the major criticisms traditionalists use against MTurk data, and we explain (1) how many of these criticisms apply more strongly to traditional Survey methods, and (2) how by using advanced features of MTurk in conjunction with Survey Software such as Qualtrics or SurveyMonkey, researchers can navigate around many of these limitations. We conclude by demonstrating several leading practices that can be used to achieve high quality data collections with MTurk and the several advantages of doing so. Nonetheless, even when conducting traditional paper-based Surveys, researchers can benefit from several (not all) of the leading methodological practices that have been developed by those who have pushed the boundaries of data collection using online panels-including for organization-level data collections. We conclude by cautioning that no "proven" method without inherent flaws exists, and organization and IS research would benefit from a clearer articulation and understanding of the range of methods and data sources available, along with their limitations and advantages.