Pub Date : 2023-01-01Epub Date: 2023-01-20DOI: 10.1007/s41237-022-00192-w
Hideo Aizaki, Hironobu Takeshita
This study measures consumer preferences for 11 sustainable dairy activities and examines the differences in preferences among five countries: the UK, the Netherlands, France, Italy, and Japan. A case 1 best-worst scaling is used to evaluate greenhouse gas emissions, fertilizer application, soil management, water management, biodiversity, working environment, animal care, wastes, market development, rural communities, and product safety and quality. Consumers across countries have diverse preferences for sustainable dairy farming activities, which may be related to the COVID-19 pandemic and social attention toward the environment and agriculture. Preferential differences for some activities were also revealed by gender and age. When discussing the priorities of some activities, conflicts between gender and generations could arise. Information on consumer preference can help various stakeholders discuss how to improve the sustainability of the dairy sector.
{"title":"Comparing consumer preferences for sustainable dairy activities among countries.","authors":"Hideo Aizaki, Hironobu Takeshita","doi":"10.1007/s41237-022-00192-w","DOIUrl":"10.1007/s41237-022-00192-w","url":null,"abstract":"<p><p>This study measures consumer preferences for 11 sustainable dairy activities and examines the differences in preferences among five countries: the UK, the Netherlands, France, Italy, and Japan. A case 1 best-worst scaling is used to evaluate greenhouse gas emissions, fertilizer application, soil management, water management, biodiversity, working environment, animal care, wastes, market development, rural communities, and product safety and quality. Consumers across countries have diverse preferences for sustainable dairy farming activities, which may be related to the COVID-19 pandemic and social attention toward the environment and agriculture. Preferential differences for some activities were also revealed by gender and age. When discussing the priorities of some activities, conflicts between gender and generations could arise. Information on consumer preference can help various stakeholders discuss how to improve the sustainability of the dairy sector.</p>","PeriodicalId":39640,"journal":{"name":"Behaviormetrika","volume":"50 2","pages":"653-677"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9853485/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9639162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1007/s41237-022-00166-y
J. Metsämuuronen
{"title":"Correction to: The effect of various simultaneous sources of mechanical error in the estimators of correlation causing deflation in reliability: seeking the best options of correlation for deflation-corrected reliability","authors":"J. Metsämuuronen","doi":"10.1007/s41237-022-00166-y","DOIUrl":"https://doi.org/10.1007/s41237-022-00166-y","url":null,"abstract":"","PeriodicalId":39640,"journal":{"name":"Behaviormetrika","volume":"50 1","pages":"511-512"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"53133182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1007/s41237-022-00183-x
Marie-Abele C Bind, D B Rubin
A common complication that can arise with analyses of high-dimensional data is the repeated use of hypothesis tests. A second complication, especially with small samples, is the reliance on asymptotic p-values. Our proposed approach for addressing both complications uses a scientifically motivated scalar summary statistic, and although not entirely novel, seems rarely used. The method is illustrated using a crossover study of seventeen participants examining the effect of exposure to ozone versus clean air on the DNA methylome, where the multivariate outcome involved 484,531 genomic locations. Our proposed test yields a single null randomization distribution, and thus a single Fisher-exact p-value that is statistically valid whatever the structure of the data. However, the relevance and power of the resultant test requires the careful a priori selection of a single test statistic. The common practice using asymptotic p-values or meaningless thresholds for "significance" is inapposite in general.
{"title":"High-dimensional randomization-based inference capitalizing on classical design and modern computing.","authors":"Marie-Abele C Bind, D B Rubin","doi":"10.1007/s41237-022-00183-x","DOIUrl":"https://doi.org/10.1007/s41237-022-00183-x","url":null,"abstract":"<p><p>A common complication that can arise with analyses of high-dimensional data is the repeated use of hypothesis tests. A second complication, especially with small samples, is the reliance on asymptotic <i>p</i>-values. Our proposed approach for addressing both complications uses a scientifically motivated scalar summary statistic, and although not entirely novel, seems rarely used. The method is illustrated using a crossover study of seventeen participants examining the effect of exposure to ozone versus clean air on the DNA methylome, where the multivariate outcome involved 484,531 genomic locations. Our proposed test yields a single null randomization distribution, and thus a single Fisher-exact <i>p</i>-value that is statistically valid whatever the structure of the data. However, the relevance and power of the resultant test requires the careful a priori selection of a single test statistic. The common practice using asymptotic <i>p</i>-values or meaningless thresholds for \"significance\" is inapposite in general.</p>","PeriodicalId":39640,"journal":{"name":"Behaviormetrika","volume":"50 1","pages":"9-26"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9849196/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10581300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-31DOI: 10.1007/s41237-022-00191-x
Shenghai Dai, O. Kehinde, M. Schmitter-Edgecombe, B. French
{"title":"Modeling daily fluctuations in everyday cognition and health behaviors at general and person-specific levels: a GIMME analysis","authors":"Shenghai Dai, O. Kehinde, M. Schmitter-Edgecombe, B. French","doi":"10.1007/s41237-022-00191-x","DOIUrl":"https://doi.org/10.1007/s41237-022-00191-x","url":null,"abstract":"","PeriodicalId":39640,"journal":{"name":"Behaviormetrika","volume":"50 1","pages":"563 - 583"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48776780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-27DOI: 10.1007/s41237-022-00189-5
Kazuya Fujita, Kensuke Okada
{"title":"Adaptive optimal stimulus selection in cognitive models using a model averaging approach","authors":"Kazuya Fujita, Kensuke Okada","doi":"10.1007/s41237-022-00189-5","DOIUrl":"https://doi.org/10.1007/s41237-022-00189-5","url":null,"abstract":"","PeriodicalId":39640,"journal":{"name":"Behaviormetrika","volume":"50 1","pages":"431-463"},"PeriodicalIF":0.0,"publicationDate":"2022-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42499408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-30DOI: 10.1007/s41237-022-00190-y
T. Senga Kiessé, M. Corson
{"title":"The utility of less-common statistical methods for analyzing agricultural systems: focus on kernel density estimation, copula modeling and extreme value theory","authors":"T. Senga Kiessé, M. Corson","doi":"10.1007/s41237-022-00190-y","DOIUrl":"https://doi.org/10.1007/s41237-022-00190-y","url":null,"abstract":"","PeriodicalId":39640,"journal":{"name":"Behaviormetrika","volume":"50 1","pages":"491-508"},"PeriodicalIF":0.0,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42600017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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