Podcasts about questionnaire design

Want to feel more confident in your ability to optimize survey data quality? In this Conversation, Research Rockstar instructors Kathryn Korostoff and Julie Worwa share some of the key steps professional survey researchers take to optimize data quality. Even if you are new to professional-level market research, or feel uncertain about your statistical knowledge, these topics will help amp up your research success. Topics in this conversation are also covered in more depth in Research Rockstar's eLearning courses on Quantitative Data Analysis, Questionnaire Design and SPSS. Conversations for Research Rockstars is produced by Research Rockstar Training & Staffing. Our 25+ Market Research eLearning classes are offered in both real-time and on-demand formats, and include options to earn Insights Association Certificates. Our Rent-a-Researcher staffing service places qualified, fully-vetted market research experts, covering temporary needs due to project and resource fluctuations.   Conversations for Research Rockstars is produced by Research Rockstar Training & Staffing. Our 25+ Market Research eLearning classes are offered in both real-time and on-demand formats, and include options to earn Insights Association Certificates. Our Rent-a-Researcher staffing service places qualified, fully-vetted market research experts, covering temporary needs due to project and resource fluctuations.   ***We believe it: Inside every market researcher, is a Research Rockstar!*** Hope you enjoy this episode of Conversations for Research Rockstars. http://www.researchrockstar.com/ Facebook - https://www.facebook.com/ResearchRockstarTraining Twitter - https://twitter.com/ResearchRocks LinkedIn - https://www.linkedin.com/company/2038750 877-Rocks10 ext 703 for Support, 701 for Sales Info@ResearchRockstar.com

Phil and Norbert discuss Norbert's paper, "Asking Questions About Behavior: Cognition, Communication and Questionnaire Construction"

Chatting With Sherri welcomes author; Carey V. Azzara!  Carey V. Azzara is the author of three collections of short stories – Uncommon Heroes and Cars; a collection of novellas – Halley’s Gift and Eight Other Extraordinary Talesand The Lottery Curse. His short stories have been published in several anthologies and he authored Questionnaire Design for Business Research, a technical manual on marketing research practices. Kaitlin's Mooring; Nothing is more horrific than losing a child, nothing more joyous than the birth of one. When grief intertwines with joy, it throws the Deveau  family into turmoil.  

Carey V. Azzara visits Madame Perry's Salon to talk about his newest novel Kaitlin's Mooring. Azzara, a Boston resident, is the author of three collections of short stories – Uncommon Heroes and Cars; a collection of novellas – Halley’s Gift and Eight Other Extraordinary Tales; plus Heroes, Dogs, and Cars. His short stories have been published in several anthologies, and he authored Questionnaire Design for Business Research - a technical book on marketing research practices.

In this short course, learn how to design a survey to strengthen your research by applying statistical thinking to designing your survey and learning the five steps necessary for collecting data that will answer your research questions. We will cover how to select your sample (including sample size calculations), how to design a questionnaire to minimize errors and biases inherent in surveys, how to pilot test and re-test your survey, and how to implement your survey. You will have opportunities to apply what you’ve learned to your own problems and, at the end, to ask LISA statistical collaborators any questions you might still have about designing surveys. This course is broken up into 6 parts: Section 1 is Introductions Section 2 is Survey Fundamentals Section 3 is Questionnaire Design (is broken down into Part 1 and 2) Section 4 is Survey Implementation Section 5 is Preparing for Data Analysis Section 6 is Questions and Answers (not available for download) Course files are available here: www.lisa.stat.vt.edu/?q=node/4690.

In this short course, learn how to design a survey to strengthen your research by applying statistical thinking to designing your survey and learning the five steps necessary for collecting data that will answer your research questions. We will cover how to select your sample (including sample size calculations), how to design a questionnaire to minimize errors and biases inherent in surveys, how to pilot test and re-test your survey, and how to implement your survey. You will have opportunities to apply what you’ve learned to your own problems and, at the end, to ask LISA statistical collaborators any questions you might still have about designing surveys. This course is broken up into 6 parts: Section 1 is Introductions Section 2 is Survey Fundamentals Section 3 is Questionnaire Design (is broken down into Part 1 and 2) Section 4 is Survey Implementation Section 5 is Preparing for Data Analysis Section 6 is Questions and Answers (not available for download) Course files are available here: www.lisa.stat.vt.edu/?q=node/4690.

In this short course, learn how to design a survey to strengthen your research by applying statistical thinking to designing your survey and learning the five steps necessary for collecting data that will answer your research questions. We will cover how to select your sample (including sample size calculations), how to design a questionnaire to minimize errors and biases inherent in surveys, how to pilot test and re-test your survey, and how to implement your survey. You will have opportunities to apply what you’ve learned to your own problems and, at the end, to ask LISA statistical collaborators any questions you might still have about designing surveys. This course is broken up into 6 parts: Section 1 is Introductions Section 2 is Survey Fundamentals Section 3 is Questionnaire Design (is broken down into Part 1 and 2) Section 4 is Survey Implementation Section 5 is Preparing for Data Analysis Section 6 is Questions and Answers (not available for download) Course files are available here: www.lisa.stat.vt.edu/?q=node/4690.

In this short course, learn how to design a survey to strengthen your research by applying statistical thinking to designing your survey and learning the five steps necessary for collecting data that will answer your research questions. We will cover how to select your sample (including sample size calculations), how to design a questionnaire to minimize errors and biases inherent in surveys, how to pilot test and re-test your survey, and how to implement your survey. You will have opportunities to apply what you’ve learned to your own problems and, at the end, to ask LISA statistical collaborators any questions you might still have about designing surveys. This course is broken up into 6 parts: Section 1 is Introductions Section 2 is Survey Fundamentals Section 3 is Questionnaire Design (is broken down into Part 1 and 2) Section 4 is Survey Implementation Section 5 is Preparing for Data Analysis Section 6 is Questions and Answers (not available for download) Course files are available here: www.lisa.stat.vt.edu/?q=node/4690.

In this short course, learn how to design a survey to strengthen your research by applying statistical thinking to designing your survey and learning the five steps necessary for collecting data that will answer your research questions. We will cover how to select your sample (including sample size calculations), how to design a questionnaire to minimize errors and biases inherent in surveys, how to pilot test and re-test your survey, and how to implement your survey. You will have opportunities to apply what you’ve learned to your own problems and, at the end, to ask LISA statistical collaborators any questions you might still have about designing surveys. This course is broken up into 6 parts: Section 1 is Introductions Section 2 is Survey Fundamentals Section 3 is Questionnaire Design (is broken down into Part 1 and 2) Section 4 is Survey Implementation Section 5 is Preparing for Data Analysis Section 6 is Questions and Answers (not available for download) Course files are available here: www.lisa.stat.vt.edu/?q=node/4690.

In this short course, learn how to design a survey to strengthen your research by applying statistical thinking to designing your survey and learning the five steps necessary for collecting data that will answer your research questions. We will cover how to select your sample (including sample size calculations), how to design a questionnaire to minimize errors and biases inherent in surveys, how to pilot test and re-test your survey, and how to implement your survey. You will have opportunities to apply what you’ve learned to your own problems and, at the end, to ask LISA statistical collaborators any questions you might still have about designing surveys. This course is broken up into 6 parts: Section 1 is Introductions Section 2 is Survey Fundamentals Section 3 is Questionnaire Design (is broken down into Part 1 and 2) Section 4 is Survey Implementation Section 5 is Preparing for Data Analysis Section 6 is Questions and Answers (not available for download) Course files are available here: www.lisa.stat.vt.edu/?q=node/4690.

According to a February, 18, 2007, press release describing a survey on public perceptions of global warming, a majority of Americans agreed with most scientists that the Earth is getting warmer, but were divided over the seriousness of the problem, predicated on a belief that scientists themselves disagreed about global warming. What, if any, was the role of the news media in fueling that perception? Is that perception still prevalent? And where does the public stand today regarding amelioration strategies? Do people support the policy solutions that are most favored by the Presidential candidates? Is there a relation between what people know about global warming and how concerned they are about it? Is there a divide between Republicans and Democrats on these matters? If so, how might one explain these differences in perceptions about global warming? Program Summary With both major Presidential candidates endorsing cap and trade programs to reduce greenhouse gas emissions and Congress increasingly devoting effort to climate change legislation, the American public's views of these matters will become more important in the coming months. Yet survey evidence suggests that cap-and-trade is one of the public's least favorite ways to reduce emissions. Our speaker today, Professor Jon Krosnick, has conducted a new national survey to explore the reasons for this reluctance. Different respondents were randomly assigned to receive different descriptions of cap-and-trade, to see whether some framings increased the policy's appeal. The results identify communication strategies that were and were not successful and thereby point to reasons for the public's reluctance. The survey also experimentally tested the hypothesis that "balanced" news media coverage of climate change has caused the majority of Americans to believe that there is no consensus among scientific experts about the existence of climate change. The survey's evidence highlights unintended consequences of "optimal" journalism and the power of the press. Biography For 25 years, Dr. Jon A. Krosnick has conducted research exploring how the American public's political attitudes are formed, change, and shape thinking and action. He is co-principal investigator of the American National Election Study, the nation's preeminent academic project exploring voter decision-making and political campaign effects. A world-renowned expert on questionnaire design and survey research methodology, he has conducted survey studies of Americans' attitudes on environmental issues in collaboration with ABC News, the Washington Post, Time magazine, and New Scientist magazine. Dr. Krosnick has authored six books and more than 120 peer-reviewed scientific articles. His books include the Handbook of Questionnaire Design (forthcoming), Attitude Strength, Thinking about Politics, and Introduction to Survey Research, Polling, and Data Analysis. Dr. Krosnick teaches courses on survey methodology around the world at universities, for corporations, and for government agencies, testifies regularly as an expert witness in courts in the U.S. and abroad, and has served as an on-air election-night television commentator and exit poll data analyst. Dr. Krosnick earned an A.B. degree in Psychology (Magna Cum Laude) from Harvard University in 1980; an M.A. degree in Social Psychology (with Honors) from the University of Michigan in 1983, and a Ph.D. in Social Psychology from University of Michigan in 1986.

According to a February, 18, 2007, press release describing a survey on public perceptions of global warming, a majority of Americans agreed with most scientists that the Earth is getting warmer, but were divided over the seriousness of the problem, predicated on a belief that scientists themselves disagreed about global warming. What, if any, was the role of the news media in fueling that perception? Is that perception still prevalent? And where does the public stand today regarding amelioration strategies? Do people support the policy solutions that are most favored by the Presidential candidates? Is there a relation between what people know about global warming and how concerned they are about it? Is there a divide between Republicans and Democrats on these matters? If so, how might one explain these differences in perceptions about global warming? Program Summary With both major Presidential candidates endorsing cap and trade programs to reduce greenhouse gas emissions and Congress increasingly devoting effort to climate change legislation, the American public's views of these matters will become more important in the coming months. Yet survey evidence suggests that cap-and-trade is one of the public's least favorite ways to reduce emissions. Our speaker today, Professor Jon Krosnick, has conducted a new national survey to explore the reasons for this reluctance. Different respondents were randomly assigned to receive different descriptions of cap-and-trade, to see whether some framings increased the policy's appeal. The results identify communication strategies that were and were not successful and thereby point to reasons for the public's reluctance. The survey also experimentally tested the hypothesis that "balanced" news media coverage of climate change has caused the majority of Americans to believe that there is no consensus among scientific experts about the existence of climate change. The survey's evidence highlights unintended consequences of "optimal" journalism and the power of the press. Biography For 25 years, Dr. Jon A. Krosnick has conducted research exploring how the American public's political attitudes are formed, change, and shape thinking and action. He is co-principal investigator of the American National Election Study, the nation's preeminent academic project exploring voter decision-making and political campaign effects. A world-renowned expert on questionnaire design and survey research methodology, he has conducted survey studies of Americans' attitudes on environmental issues in collaboration with ABC News, the Washington Post, Time magazine, and New Scientist magazine. Dr. Krosnick has authored six books and more than 120 peer-reviewed scientific articles. His books include the Handbook of Questionnaire Design (forthcoming), Attitude Strength, Thinking about Politics, and Introduction to Survey Research, Polling, and Data Analysis. Dr. Krosnick teaches courses on survey methodology around the world at universities, for corporations, and for government agencies, testifies regularly as an expert witness in courts in the U.S. and abroad, and has served as an on-air election-night television commentator and exit poll data analyst. Dr. Krosnick earned an A.B. degree in Psychology (Magna Cum Laude) from Harvard University in 1980; an M.A. degree in Social Psychology (with Honors) from the University of Michigan in 1983, and a Ph.D. in Social Psychology from University of Michigan in 1986.