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Data Collection

Survey Data Collection and Analytics ,

This course presents research conducted to increase our understanding of how data collection decisions affect survey errors. This is not a “how–to-do-it” course on data collection, but instead reviews the literature on survey design decisions and data quality in order to sensitize learners to how alternative survey designs might impact the data obtained from those surveys. The course reviews a range of survey data collection methods that are both interview-based (face-to-face and telephone) and self-administered (paper questionnaires that are mailed and those that are implemented online, i.e. as web surveys). Mixed mode designs are also covered as well as several hybrid modes for collecting sensitive information e.g., self-administering the sensitive questions in what is otherwise a face-to-face interview. The course also covers newer methods such as mobile web and SMS (text message) interviews, and examines alternative data sources such as social media. It concentrates on the impact these techniques have on the quality of survey data, including error from measurement, nonresponse, and coverage, and assesses the tradeoffs between these error sources when researchers choose a mode or survey design.

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Rating 4.4 based on 32 ratings
Length 5 weeks
Effort 4 weeks of study, 2-4 hours/weeks
Starts Jul 3 (44 weeks ago)
Cost $69
From University of Michigan via Coursera
Instructor Frederick Conrad, Ph.D.
Download Videos On all desktop and mobile devices
Language English
Subjects Social Sciences Science Business
Tags Social Sciences Life Sciences Business Marketing Psychology

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What people are saying

data collection

Excelent Very nice course, with lots of insights about survey data collection and the issues related with getting right data for right inferences.

اتمنى منكم توفير ترجمه

كنت اتمنى منكم توفير ترجمه للكور لغير الناطقين بالعربية حيث انه جدا مفيد وجميل Very well thought of and extremly well designed course an other interesting Course amongst the series of Survey Data Collection and Analytics!

الناطقين بالعربية حيث انه

انه جدا مفيد وجميل

know exactly who make

It help me much on my dairy activity This course thought me exactly what i was expecting, the course lecturer is amazing and know exactly who make his student understand.

-the difference between mobile

-the difference between mobile survey and web surveydifference between online and face to face interviewsdifference between telephone interviews and computer interviws Very good summary of the advantages and disadvantages of different approaches to survey data collection, including some useful context about hybrid approaches.

assessments really makes one

The content of the programme is rich and the assessments really makes one think.

dominant mode- form

I liked the course, but I think it should be more focused on web based surveys, as it is the dominant mode- form.

video after practicing

please re-make the video after practicing the presentation.

without any emotion

It seems very mundane, the instructor is reading out from the slides without any emotion at all and not explaining what he is reading or going into the depth.

ترجمه للكور لغير

extremely intuitive

Extremely intuitive !

Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

Event Specialist and Data Collection Specialist $40k

Collection Trainer $46k

Collection Operations $58k

RN - Data Collection (Quality Management) Full Time $60k

Credit/Collection $61k

RF Data collection - Drive Test $62k

Associate Data collection $72k

PLC Programming/Data Collection Engineer $76k

Data Collection Specialist Lead $89k

Data-Collection Specialist $109k

Senior Research Scientist and Data Collection Coordinator $115k

Collection Scientist $116k

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Rating 4.4 based on 32 ratings
Length 5 weeks
Effort 4 weeks of study, 2-4 hours/weeks
Starts Jul 3 (44 weeks ago)
Cost $69
From University of Michigan via Coursera
Instructor Frederick Conrad, Ph.D.
Download Videos On all desktop and mobile devices
Language English
Subjects Social Sciences Science Business
Tags Social Sciences Life Sciences Business Marketing Psychology

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