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2015 - Accelerate Learning: Racing into the Future - AECT Words: 47 words || 
1. Thayne, Jeffrey. and Lee, Victor. "RTD-Making Statistics Matter: Connecting Statistical Inquiry to the Life of the Students" Paper presented at the annual meeting of the Accelerate Learning: Racing into the Future - AECT, Hyatt Regency, Indianapolis, Indiana, Nov 03, 2015 <Not Available>. 2020-02-25 <>
Publication Type: Concurrent Presentation
Review Method: Peer Reviewed
Abstract: The use of physical activity trackers in undergraduate statistics learning may offer learners the opportunity to explore data collected by themselves about themselves — and this may help statistical concepts matter to learners in new ways. This possibility was tested in a qualitative study involving undergraduate learners.

2015 - 4S Annual Meeting – Denver Words: 188 words || 
2. Cakici, Baki. "National statistics and innovation labs: A new statistical regime in the age of big data" Paper presented at the annual meeting of the 4S Annual Meeting – Denver, Sheraton Downtown, Denver, CO, Nov 11, 2015 <Not Available>. 2020-02-25 <>
Publication Type: Paper Abstract
Review Method: Peer Reviewed
Abstract: New data sources and computational methods such as big data analytics challenge the authority of National Statistical Institutes (NSIs) by allowing other actors to generate their own statistics. One response to this challenge in European NSIs in the buildup to the 2020 round of censuses has been to establish innovation labs where statisticians can access external data sources, and experiment with individual projects. The maintenance of sensitive data demands a slower pace of development as software needs to be scrutinised before deployment, and computers holding sensitive data are kept offline. Innovation labs provide a way of circumventing such limitations.

Based on ethnographic research at a European National Statistical Institute, I argue that the innovation lab represents a new statistical regime. As opposed to the traditional method where statisticians design studies and then collect the data, these labs allow a “data-driven” approach, where it is possible to collect the data first, and then design the study through data analysis. Innovation labs provide the means to participate in the conversation on big data, and they sustain a different statistical regime within the confines of the traditionally isolated realm of official statistics.

2017 - American Sociological Association Annual Meeting Pages: unavailable || Words: unavailable || 
3. Ho, Jing-Mao. "Statistics as Statecraft: National Statistical Systems (NSS) and State Building, 1800 to 2011" Paper presented at the annual meeting of the American Sociological Association Annual Meeting, Palais des Congrès de Montréal, Montreal, Canada, Aug 12, 2017 Online <APPLICATION/PDF>. 2020-02-25 <>
Publication Type: Conference Paper/Unpublished Manuscript
Review Method: Peer Reviewed
Abstract: This article theoretically explores the structural conditions under which nation-state builders are able to institutionalize statistical statecraft from 1800 to 2011 by empirically analyzing a unique dataset with information about the timing of the establishment of National Statistical Systems (NSS) in 163 countries. On one hand, I theorize statistics as statecraft for making society legible, deploying state power, and making national boundaries. On the other hand, I further examine how the rate of institutionalizing statistical statecraft is influenced by democratization, modernization (industrialization and economic development), world society, and colonialism. Results demonstrate that the adoption of the statecraft of statistics originated in nineteenth-century Europe and diffused to other parts of the world in the twentieth century, especially after World War II, with the rapid surge of the formation of nation-states. Event history analyses further suggest democracy, modernization, and word society are robust structural factors accelerating the institutionalization of statistical statecraft. By contrast, colonialism delays the institutionalization in most parts of the non-Western world.

2016 - American Sociological Association Annual Meeting Words: 259 words || 
4. Cain, Virginia. and Chinn, Juanita. "02. National Center for Health Statistics: Datasets to Identify, Understand, and Address the Population’s Health, Influences on Health, and Health Outcomes, National Center for Health Statistics" Paper presented at the annual meeting of the American Sociological Association Annual Meeting, Washington State Convention Center, Seattle, WA, <Not Available>. 2020-02-25 <>
Publication Type: Poster
Abstract: The Centers for Disease Control and Prevention’s National Center for Health Statistics (NCHS) is the nation’s principal health statistics agency, providing data to identify and address health issues. Data sets available from NCHS include the: National Health Interview Survey (NHIS), National Health Interview Survey-Native Hawaiian and Pacific Islander Survey, National Health Interview Survey, National Care Interview Survey, National Health Interview Survey Linked Mortality File, National Health Examination and Nutrition Survey (NHANES), National Survey of Family Growth (NSFG), National Vital Statistics System including birth data, mortality data, fetal death data, linked births/infant death program, National Mortality Followback Survey, National Ambulatory Medical Care Survey (NAMCS), National Electronic Health Records Survey, National Ambulatory Medical Care Survey-Physician Workflow Survey, National Hospital Ambulatory Medical Care Survey (NHAMCS), National Hospital Care Survey, National Study of Long-Term Care Providers, National Survey of Children in Non-Parental Care, and the National Survey of the Diagnosis and Treatment of ADHD and Tourette Syndrome. Additionally, NCHS surveys can be linked to the National Death Index. These health data sets can be used to: document the health status of the U.S. population and selected subgroups; identify disparities in health status and use of health care by race/ethnicity, socio-economic status, region, and other population characteristics; document access to the health care system; monitor trends in health status and health care delivery; identify health behaviors and associated risk factors; support biomedical and health services research; provide data to support public policies and programs; evaluate the impact and effectiveness of health policies and programs and address many other research questions.

2017 - Leading Learning for Change - AECT Words: 49 words || 
5. Cheng, Li., Beal, Carole. and Luo, Feiya. "Student Statistics Anxiety in Online and Face-to-face Statistics Courses: A Literature Review" Paper presented at the annual meeting of the Leading Learning for Change - AECT, Hyatt Regency Jacksonville Riverfront, Jacksonville, Florida, Nov 07, 2017 <Not Available>. 2020-02-25 <>
Publication Type: Roundtable
Review Method: Peer Reviewed
Abstract: By reviewing the literature on statistics anxiety of students in online and face-to-face statistics courses, our study analyzed and synthesized the relationship between statistics anxiety and course performance, factors that influence online statistics performance and attitudes, and the strategies to decrease statistics anxiety. Implications for future research are provided.

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