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        "event_title":"Integrating Qualitative Methods into Survey Research",
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        "combined_title":"Integrating Qualitative Methods into Survey Research: A noncredit course presented by Darby Steiger",
        "event_subtitle":"A noncredit course presented by Darby Steiger",
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        "event_type_id":"8",
        "description":"Founded in 1948, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application \u2014 entirely online. \n\nClasses are open for registration.\nYou do not have to be affiliated with the University to attend. \nRegistration and payment are required a minimum of two weeks prior to the start of the class. \n\nJuly 13-17, 2026 (M-F)\n10:30am-12:00pm\nIntegrating Qualitative Methods into Survey Research\nPresented by Darby Steiger\nCourse Fee: $500\n\nThis intensive course is designed to introduce novice and intermediate survey researchers to the integration of qualitative methods into survey research. Guided by the literature on mixed methods research, the course will present various motivations and strategies for blending qualitative components into a quantitative study. Students will be introduced to a variety of qualitative methods and the ways each approach can complement a survey, including focus groups, in-depth interviews, asynchronous research, cognitive testing, open-ended survey questions, and multiple methods used across a single study. Through case studies and collaborative exercises, students will explore the potential contribution of each method, as well as the benefits of combined methods to advance and understand specific research questions. Practical considerations will be covered, including study design, sampling, recruitment, data collection, analysis, and integration of qualitative findings into survey reporting. This course is designed for those with a specific research question in mind, as participants will be asked to design multi-method approaches to a research question of their choice. By the end of this course, participants will understand the role qualitative research can play in survey research and how to design and implement a qualitative phase in a multimethod study.\n\nDarby Steiger is Vice President of Innovation & Solutions and Director of Qualitative Research at SSRS. Darby is responsible for spearheading the advancement of the core SSRS research products while driving cutting-edge approaches to the firm\u2019s qualitative and quantitative research divisions. With over 30 years as a qualitative researcher and survey methodologist, Darby has extensive experience conducting qualitative and quantitative research for a wide range of organizations and topics. A national leader in research methods, Darby regularly presents at leading industry conferences and recently served on the Executive Council of the American Association for Public Opinion Research. Darby has three degrees from the University of Michigan.",
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        "tags":["Data","Data Analysis","Data Collection","Data Curation","Data Linkage","Data Management","Data Science","Graduate and Professional Students","Mathematics","Online","Research","Survey Methodology","Survey Methods","Survey Research"],
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        "event_title":"Up, Up, And Away: A History of Ballooning in America",
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        "combined_title":"Up, Up, And Away: A History of Ballooning in America",
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        "description":"This exhibit examines the history of balloon flight in the United States from Blanchard\u2019s first ascension to the early twentieth century. In the age of bird\u2019s-eye views, which imagined a perspective on American cities and towns from high in the air, balloonists were the only people who actually had the opportunity to see what the growing nation looked like from above. As the nineteenth century progressed, ballooning became a lucrative (if dangerous) business, as crowds gathered to watch balloons launch, and to see aeronauts risk their lives high in the air. Over time, the image of the hot air balloon proliferated in American print culture, being used to sell goods ranging from thread to canned beef. We hope that this exhibit conveys some of the thrill that would have come from seeing people fly for the first time.\n\nOn view May 22-August 28, weekdays from 12-4 pm.",
        "occurrence_notes":"Arrive at our North Entrance to check-in. This entrance is accessible and an elevator is available to move between floors.",
                "guid":"148371-21904082@events.umich.edu",
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        "tags":["american culture","american history","Exhibit","Exhibition","Free","Fun","history","Humanities","In Person","libraries"],
        "website":"https:\/\/myumi.ch\/w928X",
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        "time_zone":"America\/Detroit",
        "event_title":"Maize & Blue Cupboard Volunteering",
        "occurrence_title":"MBC Delivery",
        "combined_title":"Maize & Blue Cupboard Volunteering: Multiple conference events and sessions: MBC Delivery",
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        "event_type":"Conference \/ Symposium",
        "event_type_id":"5",
        "description":"Come help us during normal operating hours; as well as, unload our weekly Food Gatherers deliveries and stock our shelves!\u00a0If you are outside the U-M community, please reach out to maize.blue.cupboard@umich.edu to sign up.",
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        "datetime_modified":"20260610T141904",
        "datetime_start":"20260713T130000",
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        "has_end_time":1,
        "date_start":"2026-07-13",
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        "event_title":"Designing and Writing Questions for Surveys: Guidelines and Recommendations",
        "occurrence_title":"",
        "combined_title":"Designing and Writing Questions for Surveys: Guidelines and Recommendations: A noncredit course presented by Jennifer (Jen) Dykema",
        "event_subtitle":"A noncredit course presented by Jennifer (Jen) Dykema",
        "event_type":"Class \/ Instruction",
        "event_type_id":"8",
        "description":"Founded in 1948, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application \u2014 entirely online. \n\nClasses are open for registration.\nYou do not have to be affiliated with the University to attend. \nRegistration and payment are required a minimum of two weeks prior to the start of the class. \n\nJuly 13-17, 2026 (M-F)\n1:00pm-4:00pm\nDesigning and Writing Questions for Surveys: Guidelines and Recommendations\nPresented by Jennifer (Jen) Dykema\nCourse Fee: $1,200\n\nThis workshop distills research about survey questions to principles that can be applied to write survey questions that are clear and obtain reliable answers. The workshop provides students with tools to use in diagnosing problems in survey questions and in writing their own survey questions. Sessions combine lectures with group exercises & discussion. The lecture provides guidelines for writing and revising survey questions and illustrates how to revise troubled questions. Sessions consider both questions about events and behaviors and questions about subjective phenomena (such as attitudes, evaluations, and internal states).\n\nCOURSE OBJECTIVES\n\nIntroduce a structural analysis of parts of a survey question. Describe guidelines for diagnosing problems in survey questions and writing new survey questions. Focus on the structure and wording of survey questions, whether for interviewer-administered or self-administered instruments. Provide an opportunity to apply the guidelines and principles during in-class exercises. Focus on improving individual questions and sets of questions. Summarize research that underlies key decisions in writing survey questions. Introduce cognitive interviewing as a method for testing survey questions.\n\nWHO SHOULD ATTEND\n\nIndividuals who will be writing or reviewing survey questions or survey instruments or analyzing survey data. This course gives practical guidance to those who have written survey questions but who are not familiar with the research on question design, those who are just beginning to design survey instruments, and those who use survey data but do not themselves design survey instruments.\n\nINSTRUCTOR\n\nJennifer (Jen) Dykema s an Professor of Sociology and the Faculty Director of the University of Wisconsin Survey Center (UWSC). Jen\u2019s research focuses on survey methodology, identifying sources of errors produced in the process of gathering standardized measurements and developing and implementing methods to reduce those errors. This work examines three main areas of inquiry: questionnaire design, methods to increase response rates, and interviewer-respondent interaction. As Faculty Director, Jen oversees a program of methodological research that incorporates experiments and evaluations in ongoing projects. Her research has appeared in a number of journals including Public Opinion Quarterly, Journal of Survey Statistics and Methodology, Social Science Computer Review, and Field Methods, and edited volumes including the Handbook of Survey Research and Advances in Questionnaire Design, Development, Evaluation and Testing. She recently co-edited \u201cInterviewer Effects from a Total Survey Error Perspective (2020).\u201d Jen served as the Conference Chair for the American Association for Public Opinion Research (AAPOR) in 2017, and in 2022 she was selected as a Fellow of the Midwest Association for Public Opinion Research (MAPOR). Jen earned her B.A. in psychology and sociology from the University of Michigan, and her M.S. and Ph.D. in sociology from the University of Wisconsin-Madison.",
        "occurrence_notes":"Registration and payment are required prior to Zoom access.",
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        "tags":["Data","Data Analysis","Data Collection","Data Curation","Data Linkage","Data Management","Data Science","Graduate and Professional Students","Mathematics","Survey Methodology","Survey Methods","Survey Research"],
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        "datetime_modified":"20260513T130729",
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        "event_title":"June 2 - July 30, 2026 T\/TH  Course - Sampling in Practice",
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        "combined_title":"June 2 - July 30, 2026 T\/TH  Course - Sampling in Practice: Yajuan Si - Institute for Social Research, University of Michigan.",
        "event_subtitle":"Yajuan Si - Institute for Social Research, University of Michigan.",
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        "description":"June 2-July 30, 2026, T\/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application \u2014 entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied, hands-on approach, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods, including simple random sampling, stratification, systematic selection, cluster sampling, probability proportional to size sampling, and multistage sampling. We will also cover sampling cost models, sampling error estimation techniques, non-sampling errors, missing data, and nonprobability samples. The course emphasizes practical implementation, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys, selecting subjects, analyzing sample data, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo learn how to design and select a probability sample involving complex sampling techniques in a survey project, and receive expert feedback on a sampling report. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan\u2019s research focuses on methodology development, from data analysis to study design, in streams of Bayesian statistics, linking design- and model-based approaches for survey inference, data integration, missing data analysis, confidentiality protection, and causal inference, with applications in the social and health sciences. More information can be found here: https:\/\/websites.umich.edu\/~yajuan\/.",
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        "website":"https:\/\/tinyurl.com\/uts88yaw",
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