4 classes matched your search criteria.
PA 5933 is also offered in Spring 2024
PA 5933 is also offered in Fall 2022
PA 5933 is also offered in Spring 2022
PA 5933 is also offered in Fall 2020
Spring 2024 | PA 5933 Section 001: Survey Methods: Designing Effective Questionnaires (65654)
- Instructor(s)
- No instructor assigned
- Class Component:
- Lecture
- Credits:
- 2 Credits
- Grading Basis:
- A-F only
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- In Person
- Enrollment Requirements:
- Grad or Masters or Law
- Times and Locations:
- Regular Academic Session01/16/2024 - 04/29/2024Mon 05:30PM - 07:25PMUMTC, West Bank
- Enrollment Status:
- Open (0 of 20 seats filled)
- Also Offered:
- Course Catalog Description:
- Applied (hands-on) introduction to survey questionnaire design. Student teams design a questionnaire for a client. For example, students may draft and revise questions about respondents' demographics and employment; life histories; knowledge, use, and opinions about services; and/or anxiety and well-being. The syllabus evolves depending on the needs of the client and the class' decisions about how to build the survey; a complete syllabus will not be available at the beginning of class for this reason. Readings include a textbook and articles related to the client's survey. Students actively engage in class and in groups about draft questions, thus learning how to improve them, with regular feedback from the instructor. Questions are tested on volunteers. Students learn: the process of questionnaire design in a team; pitfalls of survey design; and how to track questions, coded responses, and prompts for interviewers. This class is not a substitute for a comprehensive survey research class or a statistical course on sampling and weighting. Students will learn: - The process of questionnaire design in a team - Basic pitfalls of survey design - names, definitions, examples. - How to use Excel to track questions, coded responses, and prompts for interviewers - How to use interviewing software SurveyToGo This class is not a substitute for a comprehensive survey research class or a statistical course on sampling and weighting.
- Class Notes:
- Instructor will be Corey Savage. http://classinfo.umn.edu/?+PA5933+Spring2024
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/65654/1243
Fall 2022 | PA 5933 Section 001: Survey Methods: Designing Effective Questionnaires (31658)
- Instructor(s)
- Class Component:
- Lecture
- Credits:
- 2 Credits
- Repeat Credit Limit:
- 3 Credits
- Grading Basis:
- A-F only
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- In Person
- Enrollment Requirements:
- Grad or Masters or Law
- Times and Locations:
- Regular Academic Session09/06/2022 - 12/14/2022Mon 11:15AM - 12:55PMUMTC, West BankHubert H Humphrey Center 30
- Enrollment Status:
- Open (17 of 25 seats filled)
- Also Offered:
- Course Catalog Description:
- Applied (hands-on) introduction to survey questionnaire design. Student teams design a questionnaire for a client. For example, students may draft and revise questions about respondents' demographics and employment; life histories; knowledge, use, and opinions about services; and/or anxiety and well-being. The syllabus evolves depending on the needs of the client and the class' decisions about how to build the survey; a complete syllabus will not be available at the beginning of class for this reason. Readings include a textbook and articles related to the client's survey. Students actively engage in class and in groups about draft questions, thus learning how to improve them, with regular feedback from the instructor. Questions are tested on volunteers. Students learn: the process of questionnaire design in a team; pitfalls of survey design; and how to track questions, coded responses, and prompts for interviewers. This class is not a substitute for a comprehensive survey research class or a statistical course on sampling and weighting. Students will learn: - The process of questionnaire design in a team - Basic pitfalls of survey design - names, definitions, examples. - How to use Excel to track questions, coded responses, and prompts for interviewers - How to use interviewing software SurveyToGo This class is not a substitute for a comprehensive survey research class or a statistical course on sampling and weighting.
- Class Notes:
- http://classinfo.umn.edu/?dlevison+PA5933+Fall2022
- Class Description:
- This 2-credit full-semester class provides an applied (hands-on) introduction to designing survey questionnaires. Students will learn:路How to design a questionnaire in a team路Best practices for survey and question design.路Basic pitfalls of survey design - names, definitions,examples.路How to use Google Sheets to track questions, coded responses, and prompts for interviewers路Some of us may learn to program survey software QualtricsThis class is not the equivalent of a comprehensive survey research class (e.g. EPSY 5244 or PubH 6810) or a statistical course on sampling and weighting (e.g. STAT 5201). Instead, it takes a learning-by-doing approach to one part of the survey process: designing questions for a questionnaire.
Each time it is taught, students will design a questionnaire for a client. Part of the work will be in teams. In 2020 the client was a UMN doctoral student studying Black women who obtained PhDs in the US while raising biological, adoptive or foster children. In Spring 2022 the client was the Humphrey School: we designed an exit survey for graduating masters students. The client for Fall 2022 will again be the Humphrey School, this time with a survey focused on the economics of being a grad student. The need to work -- loans -- debt -- food insecurity -- housing insecurity -- these are all likely topics.
The syllabus will evolve depending in part on the needs of the client. A full syllabus will not be available at the beginning of class for this reason. The Spring 2022 syllabus (almost final) is attached.Students will not conduct the survey, apart from test interviews. - Who Should Take This Class?:
- Any graduate student.
- Learning Objectives:
- Grade break-down (approximate, to be revised slightly):
75% individual and team survey assignments - usually 10-11 assignments, writing and improving our client's survey questions
15% Individual: homework assignments, mini-quizzes and posts
15% Class participation, including group members grading each other
Spring 2022 | PA 5933 Section 001: Survey Methods: Designing Effective Questionnaires (66726)
- Instructor(s)
- Class Component:
- Lecture
- Credits:
- 2 Credits
- Grading Basis:
- A-F only
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- In Person Term Based
- Enrollment Requirements:
- Graduate Student
- Times and Locations:
- Regular Academic Session01/18/2022 - 05/02/2022Mon 04:00PM - 05:40PMUMTC, West BankBlegen Hall 330
- Enrollment Status:
- Open (11 of 25 seats filled)
- Also Offered:
- Course Catalog Description:
- Applied (hands-on) introduction to survey questionnaire design. Student teams design a questionnaire for a real or imaginary client, typically a non-profit/NGO or governmental agency. For example, students may draft and revise questions about respondents' demographics and employment; life histories; knowledge, use, and opinions about services; and anxiety and well-being. The class will spend two weeks on each module, actively engaging in class about draft questions, and through that practice, learning how to improve them. Survey questions will be entered into SurveyToGo, an app used offline on Windows devices to collect data, and questionnaire will be tested on a small number of volunteers. Students will learn: - The process of questionnaire design in a team - Basic pitfalls of survey design - names, definitions, examples. - How to use Excel to track questions, coded responses, and prompts for interviewers - How to use interviewing software SurveyToGo This class is not a substitute for a comprehensive survey research class or a statistical course on sampling and weighting.
- Class Notes:
- http://classinfo.umn.edu/?dlevison+PA5933+Spring2022
- Class Description:
- This 2-credit full-semester class provides an applied (hands-on) introduction to designing survey questionnaires. Students will learn:路How to design a questionnaire in a team路Best practices for survey and question design.路Basic pitfalls of survey design - names, definitions,examples.路How to use Google Sheets to track questions, coded responses, and prompts for interviewers路Some of us may learn to program survey software QualtricsThis class is not the equivalent of a comprehensive survey research class (e.g. EPSY 5244 or PubH 6810) or a statistical course on sampling and weighting (e.g. STAT 5201). Instead, it takes a learning-by-doing approach to one part of the survey process: designing questions for a questionnaire.
Each time it is taught, student teams will design a questionnaire for a client. In 2020 the client was a UMN doctoral student studying Black women who obtained PhDs in the US while raising biological, adoptive or foster children. In 2022 the client will be the Humphrey School, which needs an exit survey for graduating masters students.
The syllabus will evolve depending in part on the needs of the client. A full syllabus will not be available at the beginning of class for this reason. The 2020 syllabus (final) is attached, but note that readings related to understanding respondents will be lighter in 2022.The class will spend two weeks on each module, actively engaging in class about draft questions and through that practice learning how to improve them. Students will not conduct the survey, apart from test interviews. - Who Should Take This Class?:
- Any graduate student.
- Grading:
- Grade break-down (approximate, to be revised slightly):60% Teams: ten items by @ 6% each - first drafts; second drafts with tracked changes. (#1-10)5% Teams: turn in final questionnaire in Excel (#11)5% Individual: cognitive interviewing memo re: pilot test of survey questions15% Individual: posts & mini-quizzes15% Class participation, including group members grading each other
- Exam Format:
- None
- Class Format:
- Mini-lectures & discussions. The class is expected to take place in-person. It is possible that a small number of sessions will be remote.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/66726/1223
- Syllabus:
- http://classinfo.umn.edu/syllabi/dlevison_PA5933_Spring2022.pdf
- Past Syllabi:
- http://classinfo.umn.edu/syllabi/dlevison_PA5933_Fall2022.pdf (Fall 2022)
- Instructor Supplied Information Last Updated:
- 31 October 2021
Fall 2020 | PA 5933 Section 001: Survey Methods: Designing Effective Questionnaires (33014)
- Instructor(s)
- Class Component:
- Lecture
- Credits:
- 2 Credits
- Grading Basis:
- A-F only
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- Partially Online
- Enrollment Requirements:
- Graduate Student
- Times and Locations:
- Regular Academic Session09/08/2020 - 12/16/2020Mon 04:00PM - 05:40PMUMTC, West BankHubert H Humphrey Center 2509/08/2020 - 12/16/2020UMTC, West BankUMN ONLINE-HYB
- Enrollment Status:
- Open (16 of 18 seats filled)
- Also Offered:
- Course Catalog Description:
- Applied (hands-on) introduction to survey questionnaire design. Student teams design a questionnaire for a real or imaginary client, typically a non-profit/NGO or governmental agency. For example, students may draft and revise questions about respondents' demographics and employment; life histories; knowledge, use, and opinions about services; and anxiety and well-being. The class will spend two weeks on each module, actively engaging in class about draft questions, and through that practice, learning how to improve them. Survey questions will be entered into SurveyToGo, an app used offline on Windows devices to collect data, and questionnaire will be tested on a small number of volunteers. Students will learn: - The process of questionnaire design in a team - Basic pitfalls of survey design - names, definitions, examples. - How to use Excel to track questions, coded responses, and prompts for interviewers - How to use interviewing software SurveyToGo This class is not a substitute for a comprehensive survey research class or a statistical course on sampling and weighting.
- Class Notes:
- Class will be offered HyFlex. Students may participate either In Person or Remotely (synchronously online) at the scheduled time. http://classinfo.umn.edu/?dlevison+PA5934+Fall2020
- Class Description:
- This 2-credit full-semester class provides an applied (hands-on) introduction to designing survey questionnaires. Students will learn:路How to design a questionnaire in a team路Best practices for survey and question design.路Basic pitfalls of survey design - names, definitions,examples.路How to use Excel to track questions, coded responses, and prompts for interviewers路How to use interviewing software SurveyToGo (but NOT in Fall 2020 -- too hard to do remotely -- although we'll have a demonstration of it)This class is not the equivalent of a comprehensive survey research class (e.g. EPSY 5244 or PubH 6810) or a statistical course on sampling and weighting (e.g. STAT 5201). Instead, it takes a learning-by-doing approach to one part of the survey process: designing questions for a questionnaire.
Each time it is taught, student teams will design a questionnaire for a real or imaginary client, such as a non-profit/NGO or governmental agency. In 2020 the client is a UMN doctoral student studying Black women who obtained PhDs (in the US) while raising biological, adoptive or foster children. Student teams will draft and revise questions about respondents':
路Demographics and employment路Life histories (mainly related to study, career, and parenting choices)路Knowledge, use, and opinions about services -- possibly related to school options during the pandemic路Anxiety and well-being (or similar concepts)The class will spend two weeks on each module, actively engaging in class about draft questions and through that practice learning how to improve them. Students will not conduct the survey, apart from a few test interviews.
- Who Should Take This Class?:
- Any graduate student.
- Grading:
- Grade break-down (approximate):60% Teams: ten items by @ 6% each - first drafts; second drafts with tracked changes. (#1-10)5% Teams: turn in final questionnaire in Excel (#11)5% Individual: cognitive interviewing memo re: pilot test of survey questions15% Individual: posts & mini-quizzes15% Class participation, including group members grading each other
- Exam Format:
- None
- Class Format:
- Mini-lectures & discussions. The class will be hybrid: simultaneously remote and in-person. In-person classes are expected to meet every week until Thanksgiving.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/33014/1209
- Past Syllabi:
- http://classinfo.umn.edu/syllabi/dlevison_PA5933_Fall2022.pdf (Fall 2022)
http://classinfo.umn.edu/syllabi/dlevison_PA5933_Spring2022.pdf (Spring 2022) - Instructor Supplied Information Last Updated:
- 27 July 2020
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