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Framework for Data Collection and Analysis

Framework for Data Collection and Analysis

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8.2/10 (Our Score)
Product is rated as #210 in category Data Science

This course will provide you with an overview over existing data products and a good understanding of the data collection landscape. With the help of various examples you will learn how to identify which data sources likely matches your research question, how to turn your research question into measurable pieces, and how to think about an analysis plan. Furthermore this course will provide you with a general framework that allows you to not only understand each step required for a successful data collection and analysis, but also help you to identify errors associated with different data sources. You will learn some metrics to quantify each potential error, and thus you will have tools at hand to describe the quality of a data source. Finally we will introduce different large scale data collection efforts done by private industry and government agencies, and review the learned concepts through these examples. This course is suitable for beginners as well as those that know about one particular data source, but not others, and are looking for a general framework to evaluate data products. The University of Maryland is the state’s flagship university and one of the nation’s preeminent public research universities. A global leader in research, …

Instructor Details

Frauke Kreuter is the Director of the Joint Program in Survey Methodology (JPSM) at the University of Maryland, and Adjunct Research Professor at the Institute for Social Research (ISR) at the University of Michigan. Currently she also holds a joint appointment with University of Mannheim, Germany and the German Institute for Employment Research (IAB), where she heads the statistical methods group. Prior to this she held positions at the Statistics Department at the Ludwig Maximilians University in Munich and the UCLA Statistics Department. She is co-author of Data Analysis Using Stata and Practical Tools for Designing and Weighting Survey Samples. Dr. Kreuter is a prominent researcher in the use of paradata in surveys, about which she published the edited volume Improving Surveys with Paradata: Analytic Uses of Process Information. Her research is very interdisciplinary and her work has been published in major substantive and statistical journals, including Quantitative Criminology, Public Opinion Quarterly and the Journal of the Royal Statistical Society. Frauke Kreuter has taught Questionnaire Design at JPSM since 2004, frequently taught inthe Summer Institute in Survey Research Techniques, University of Michigan and has given multiple workshops, tutorials, and short courses in topics related to survey methodology.

Specification: Framework for Data Collection and Analysis

Duration

8 hours

Year

2016

Level

Intermediate

Certificate

Yes

Quizzes

Yes

50 reviews for Framework for Data Collection and Analysis

3.9 out of 5
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  1. Teh L L

    Wonderful beginners guide to the Framework for Data Collection and Analysis. The lecturer was superb!

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  2. Nehleen A

    Extremely boring. I initially wanted to go for the 7 course certification but now I don’t think that I will even finish this class, let alone go for the certification. A bad move for UMD and UMICH to make this class to be the first one to be taken for the certification. Most people will not consider this is worth their time especially when there are so many more interesting and freeclasses are available through Coursera, EDX and Udacity,

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  3. Anastasia F

    Interesting and very useful for work. I liked it better than a course #5 6. It’s not so long, but has many practical insights

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  4. Courtney M

    It was ok. everyone has different tastes for lectures but I found her speech hard to follow. I probably wont continue. Also, I did not realize how it was really going to be all about surveys. Not what I was looking for. You can have data collection and analysis without surveys.

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  5. RAMANANJATO R H

    Very good refere

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  6. Dan L

    This was an interesting course. Week four was less exciting for me and I did not understand the quiz why should I memorize what different survey components are? Overall, however, it was interesting and well delivered. Thank you.

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  7. Tony, O L H

    Quite a dry topic to listen through, but good coverage on formula, total error framework & global survey examples.

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  8. Kelly

    This course provided a good introduction. I would have been interested in some less “large” scale data collection examples, e.g. responding to the increasing use of surveys in non profit, higher education and education organizations.

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  9. Ross G

    Overall I found the course to be really useful, and I feel confident moving into the next module. I would have benefitted from having more practical examples given to help some of the terminology sink in a little better, but I think that speaks more to my unfamiliarity with the language than with the lecturer’s methods.

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  10. Anya V

    The materials are solid and well organized, however the instructor is extremely poor speaks in round about and confusing way, misspeaks, yawns throughout the presentation, makes random emphasis and pauses throughout substances that are annoying and distracting and pull away attention from the substance. These videos need to be re recorded, with a more effective instructor.

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  11. sana k

    Couldn’t stay interested

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  12. Taeyoung L

    Helped me to gain a sense of what the survey is and the overall data collection process using surveys

    Helpful(0) Unhelpful(0)You have already voted this
  13. Marloes d M

    Very clear and organised structure Clear examples to support learning objectives Attractive use of voice One point for improvement: Do not film while the lecturer is still refinding breath

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  14. Kathleen j D

    It was average, good to get a summary before diving into more in depth classes

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  15. Eric H

    very enjoyable. Excellent scene setter for more in depth treatments of other aspects of survey led quant research.

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  16. Nevila

    The course teaching method was boring with low inappropriate tones and lack of enthusiasm. The attender could have the feeling the instructor was obliged to have the speaking and not to teach the content! (The instructor continuous swallowing were very disturbing)

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  17. Lucia I B H

    Muchas de las lecturas tenian un nivel muy avanzado, y mencionaban terminos, conceptos y tecnicas estadisticas que no manejo. La parte teorica estuvo bien presentada pero me parece que hay un gap entre el nivel del curso y el nivel de las lecturas.

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  18. Eyad A K

    I have learned a lot of new and interesting things from this course. The content of the course however lacks practical and simple examples that are easily understandable by everyone.

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  19. Iyshia L

    I though it was a good background course, however, I wish initially (in week 1) there was more focus on definitions.

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  20. Andrew A

    While the videos are a bit boring and the quiz questions could test a deeper understanding of the referenced material, the subject matter coverage is very good and draws on salient debates that show tradeoffs between surveys and big data. The literature provided was helpful and accessible.

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  21. Simon B

    A lot of useful and interesting content!The quiz questions are sometimes poorly worded missing words, bad grammar, sometimes illogical. The switching between video and slides is off putting for me, especially if you are trying to take notes. Can the screen not be split? What do other coursera courses do?The curtain backdrops seems rather too ‘staged’. On the whole good.

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  22. Monica E F C

    This course give sufficient background information to start working on other courses and text about surveys.

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  23. Siyad A E

    Very interesting Course for data collection and analysis!

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  24. Kyoko M

    The teacher for the course was great. She explained everything very clearly. She also explained what is coming next. Learned a lot. Reading materials were overwhelming.

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  25. Hong I C

    Although I’m willing to sit through the entire specialization (the rest of the courses are taught by different professors), I am confident to argue that the first course was terrible. The sloppiness of the presentation and course structure ruined most of the modules covered in the course, except for the first one. The rest needs some retouching and reconfiguring. Overall, the course was like listening to mumbo jumbo and listing of a bunch of loosely related materials. The instructor needs to be the cohesive force that unites the scattered information. Otherwise, none of the contents stick in the learner’s memory. Besides, the tests were horrible. Didn’t really test on any useful information. It was a test for the sake of testing.

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  26. kaliappan.s

    informative course for beginners

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  27. Dr. E E

    This module provides an excellent framework and introduction to the subject.

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  28. Yusuf T

    This course is valuable to learn how to perform data collection, analysis and surveys. The topics are good. The contents can be revised again to easily understand.

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  29. Musharavati E M

    perfect

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  30. JOSHUA E

    BEST

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  31. Ed P

    Overall this was a fine introduction. I would have liked a more rigorous approach to introducing and defining concepts. The last course on examples of surveys was pretty weak with more work the instructor could have better linked the examples to concepts we had previously learned. Instead she just did a rote report out of the purpose, design, and potential issues. The slides had all the information she was going to share, she didn’t add much value with her speaking.

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  32. ellen w

    The last quiz was terrible. I watched the classes, read the transcripts, and still had a hard time with it. Then I wasted $300 because i got sidetracked and it as so unpleasant to return to! (My fault, but still….) Maybe worth re tooling that quiz, as the rest of the class was quite good.

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  33. Lindsey Z

    This was fast and comprehensive. I had trouble getting through the length of some of the readings, but there were all relevant. I love the combination of short videos, outlines, readings and quizzes. This definitely was more than just a certification. I have increased my confidence in meetings on this topic and my mastery in my field.

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  34. Jonathan T

    This provided a great overview of the survey design course.

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  35. Solomon L

    The instructor is not audible enough.

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  36. Ari P S P

    The first course in the specialization give comprehesive introduction, good basic concept, good lecture

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  37. Silvio C C M

    Excelente curso, genera las herramientas necesarias para la recoleccion, transformacion, analisis e interpretacion de datos que requiero como principiante en este proceso

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  38. AMINA I

    Most interesting aspect is the Quality Perspective : It provides a pictorial view of measurement and representation.

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  39. David C

    Really good to understand the basics of data collection and analysis!

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  40. R. K

    Excellent curriculum design and delivery by knowledgeable instructors

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  41. saurabh g

    very informative course

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  42. Renzo R

    Excelente curso. Proporciona diferentes puntos de vistas.

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  43. Adriana M

    I had a lot of work with this course. I’m working in a organization of Statistics and I don’t have much time to study. Sometimes, I had to study during my work and it is not good. I’m not sure that the hours spent on the course were correctly estimated by the University staff.

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  44. Md. N H

    The instructions were so slow and the delivery was nothing like continuous. It was difficult to keep track of the lecture and keep listening. I had a hard time listening through the lectures and complete it.

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  45. Valentina

    Maybe too much content. Not really didactic, a bit boring.

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  46. Nabaz K

    Easy to learn, overall Information with good and powerful examples

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  47. Hayley H

    Interesting course. I liked the length of the videos. Parts of the quizzes were more about memorization than application, so I’m not sure how much that part of the course will stay with me. The material itself was helpful though.

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  48. Suzanne M O

    Very basic overview. A nice course to set up the rest of the courses in this specialization on Survey Design and Analysis.

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  49. Sue W Y

    Content is different from what I expected. In the Course title perhaps should have emphasize that the Course

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  50. Trevor M

    Frauke is experienced, highly knowledgeable and forward thinking in the theory and practice of survey methods.

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    Framework for Data Collection and Analysis
    Framework for Data Collection and Analysis

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