Jorge Andrés Delgado-Ron, Thiyaana Jeyabalan, Sarah Watt, Travis Salway
{"title":"在一项针对美国和加拿大青年的调查中,减少估算性取向差异时的无效数据偏差。","authors":"Jorge Andrés Delgado-Ron, Thiyaana Jeyabalan, Sarah Watt, Travis Salway","doi":"10.1111/cdev.14111","DOIUrl":null,"url":null,"abstract":"<p>The current commentary explored the applicability of the methods described in “Mitigating invalid and mischievous survey responses: A registered report examining risk disparities between heterosexual and lesbian, gay, bisexual, or questioning youth” by Dr. Joseph Cimpian and colleagues to explore sexual orientation disparities in preexisting data from a nonprobability sample. Understanding Affirming Communities, Relationships, and Networks was a study of mostly White (77.4%) 9674 sexual and gender-minoritized youth aged 15–29 from the US and Canada. The influence of invalid data on the prevalence ratios of four health outcomes was assessed. The methods yielded similar effects to the original paper. The accuracy varied by outcome prevalence and was robust to misspecification of the model. Therefore, the applicability of this method to preexisting data seems feasible.</p>","PeriodicalId":10109,"journal":{"name":"Child development","volume":"95 5","pages":"e373-e376"},"PeriodicalIF":3.9000,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/cdev.14111","citationCount":"0","resultStr":"{\"title\":\"Mitigating invalid data bias in the estimation of sexual orientation disparities in a survey of youth in US and Canada\",\"authors\":\"Jorge Andrés Delgado-Ron, Thiyaana Jeyabalan, Sarah Watt, Travis Salway\",\"doi\":\"10.1111/cdev.14111\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The current commentary explored the applicability of the methods described in “Mitigating invalid and mischievous survey responses: A registered report examining risk disparities between heterosexual and lesbian, gay, bisexual, or questioning youth” by Dr. Joseph Cimpian and colleagues to explore sexual orientation disparities in preexisting data from a nonprobability sample. Understanding Affirming Communities, Relationships, and Networks was a study of mostly White (77.4%) 9674 sexual and gender-minoritized youth aged 15–29 from the US and Canada. The influence of invalid data on the prevalence ratios of four health outcomes was assessed. The methods yielded similar effects to the original paper. The accuracy varied by outcome prevalence and was robust to misspecification of the model. Therefore, the applicability of this method to preexisting data seems feasible.</p>\",\"PeriodicalId\":10109,\"journal\":{\"name\":\"Child development\",\"volume\":\"95 5\",\"pages\":\"e373-e376\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2024-05-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1111/cdev.14111\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Child development\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/cdev.14111\",\"RegionNum\":1,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHOLOGY, DEVELOPMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Child development","FirstCategoryId":"102","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/cdev.14111","RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, DEVELOPMENTAL","Score":null,"Total":0}
Mitigating invalid data bias in the estimation of sexual orientation disparities in a survey of youth in US and Canada
The current commentary explored the applicability of the methods described in “Mitigating invalid and mischievous survey responses: A registered report examining risk disparities between heterosexual and lesbian, gay, bisexual, or questioning youth” by Dr. Joseph Cimpian and colleagues to explore sexual orientation disparities in preexisting data from a nonprobability sample. Understanding Affirming Communities, Relationships, and Networks was a study of mostly White (77.4%) 9674 sexual and gender-minoritized youth aged 15–29 from the US and Canada. The influence of invalid data on the prevalence ratios of four health outcomes was assessed. The methods yielded similar effects to the original paper. The accuracy varied by outcome prevalence and was robust to misspecification of the model. Therefore, the applicability of this method to preexisting data seems feasible.
期刊介绍:
As the flagship journal of the Society for Research in Child Development (SRCD), Child Development has published articles, essays, reviews, and tutorials on various topics in the field of child development since 1930. Spanning many disciplines, the journal provides the latest research, not only for researchers and theoreticians, but also for child psychiatrists, clinical psychologists, psychiatric social workers, specialists in early childhood education, educational psychologists, special education teachers, and other researchers. In addition to six issues per year of Child Development, subscribers to the journal also receive a full subscription to Child Development Perspectives and Monographs of the Society for Research in Child Development.