Carma internet research module getting started with question pro
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This document provides instructions for getting started with the QuestionPro survey platform. It outlines the sign up and survey creation process, including how to [1] create an account, [2] navigate to the home screen and click "Create Survey", [3] follow the wizard to name and design the survey, and [4] add and format questions and response options. It also notes that the free version is limited but universities can get site licenses, and it describes how to preview, distribute and share surveys with others for feedback.
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This document provides instructions for installing R and R-Studio, two programs for performing advanced data analytics. It explains that R can be downloaded from its website for Linux, MacOS, and Windows, while R-Studio can also be downloaded from its website for those operating systems. The document then demonstrates how to use R-Studio, which displays the workspace, console, and ability to show graphics and other information across multiple tabs. It includes example R commands to help orient users and demonstrates assigning a value to a variable to show mastery of the basics.
Mining tweets for security information (rev 2)
This document discusses using the open-source statistical software R to analyze security-related information from Twitter. It provides instructions on installing relevant R packages for accessing the Twitter API and searching for tweets containing specific keywords or hashtags. As an example, it searches for tweets with the hashtag "#exploit" and visualizes the results in a heatmap to show when during the day the tweets were posted.
What is Data Science
This document discusses the role of data scientists in analyzing large and complex datasets to help answer critical questions. It notes that over 95% of digital data is unstructured and organizations lose millions annually due to inefficient use of information. Data scientists can help transform this data into usable knowledge by developing expertise in both data management and specific domains. They work with infrastructure experts and domain experts to analyze "big data" and solve grand challenges across many fields.
Reducing Response Burden
Fred Oswald and Jeff Stanton are experts in reducing response burden in surveys through various statistical and technological methods. Their goals are to reduce administration time and costs, increase response rates, and decrease fatigue while maintaining reliability. Their approaches include reducing instructions, removing redundant items, distributing items across subgroups, and using automation. Their research examines determining efficient item assignments, evaluating when precision is lost by reducing content, analyzing item relationships, and stakeholder reactions. Their expertise involves examining tools to inform practical survey development goals.
PACIS Survey Workshop
This document discusses nonresponse bias in surveys and methods for assessing its impact. It begins by explaining why low response rates can undermine survey validity and introduces techniques researchers have used to increase response rates over time. However, it argues that response rate alone is not a good indicator of bias; more important is understanding if and how nonrespondents differ from respondents. The document then presents the Nonresponse Bias Impact Assessment (N-BIAS) framework, which involves using multiple techniques like archival analysis, follow-ups, wave analysis, and others to evaluate nonresponse bias in a given study.
Carma internet research module: Future data collection
This document discusses several promising techniques for future data collection, including visual surveys, audio/video interviewing, virtual worlds, web scraping, social network mapping, embedded polls on sites like Facebook, and collecting data from mobile devices. It provides examples of platforms that can be used to implement each technique and highlights advantages like reduced costs and wider reach, as well as disadvantages like technical requirements.
Carma internet research module: Sampling for internet
This document discusses internet data collection methods and sampling techniques used for internet-based research. It covers topics like defining the universe and population, developing samples, probability and non-probability sampling, sources of internet samples, criticisms of internet samples, and preferred mixed mode sampling strategies. The document consists of lecture notes from a course on internet data collection methods, providing information on key concepts and considerations for sampling in internet research.
Carma internet research module: Encouraging responding
The document summarizes strategies for encouraging responses in online surveys. It discusses the tailored design method proposed by Dillman and the leverage-saliency theory of Groves. Key response enhancing techniques include pre-notification, incentives, personalization, question order, survey length, and reminders. Combining multiple techniques can incrementally increase response rates by a few percentage points each. The effectiveness of techniques depends on respondent characteristics and survey context.
Carma internet research module: Survey reduction
The document discusses various survey reduction techniques to reduce administration time and increase engagement while maintaining data quality. It recommends making surveys seem short by streamlining the entire experience. Specific techniques include reducing instructions, using archival demographics, strategic placement of eligibility questions, and skip/branch logic. Scale reduction can be done through item analysis, factor analysis, and relating items to external criteria. Unobtrusive observation and one-item measures are also discussed as alternatives to surveys. Trade-offs of reduced surveys include potential lower construct coverage and less information obtained per respondent.
Carma internet research module: Research design catalog
1) The document describes various internet research methods including surveys, experiments, interviews, focus groups, document analysis, and mixed methods designs.
2) Specific examples include a single-wave survey, two-wave panel design, quasi-experiment comparing two conditions, time series design with repeated measures, and a linked dyads design.
3) Considerations for internet research methods include timing, identifiers to link data sources, and challenges of experimental control.
Stanton eScience Presentation
- The document discusses the role and education needs of eScience professionals, who work with scientists and engineers to manage large datasets and facilitate collaboration using new technologies.
- Interviews and analysis found that eScience professionals need skills in areas like data collection, management and analysis, IT implementation, and facilitating communication and collaboration across disciplines. They also need knowledge of science/engineering domains and IT/informatics.
- The document recommends that eScience professionals obtain at least a bachelor's degree in a science or engineering field, plus additional education in information management or an MS in information science/management.
Carma internet research module detecting bad data
This document discusses methods for detecting bad or fraudulent data in online studies. It identifies sources of data problems such as technical errors, missing data, and response fraud. Specific detection techniques are presented, including duplicate detection, univariate and multivariate outlier analysis, and autocorrelation analysis to identify unusual response patterns. Common missing data mitigation strategies like imputation are also covered. Examples of Excel functions for analyzing and working with data are provided.
Carma internet research module preparing for manuscript submission
This document discusses preparing submissions for publication and responding to common objections from reviewers regarding internet data collection. It recommends assessing non-response bias, detecting duplicate and malicious responses, and citing literature on internet research methods. Common objections from reviewers include concerns about data quality, sample representativeness, and equivalence of online measures. The document provides rebuttals and recommendations for strengthening research plans, such as using a cross-validation sample and assessing correlations with demographics.
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Carma internet research module visual design issues
Carma internet research module visual design issues
Carma internet research module: Future data collection
Carma internet research module: Future data collection
Carma internet research module: Sampling for internet
Carma internet research module: Sampling for internet
Carma internet research module: Encouraging responding
Carma internet research module: Encouraging responding
Carma internet research module: Research design catalog
Carma internet research module: Research design catalog
Carma internet research module preparing for manuscript submission
Carma internet research module preparing for manuscript submission
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Carma internet research module getting started with question pro
- 1. Getting Started with QuestionPro CARMA Internet Research Module Jeff Stanton
- 2. QuestionPro Sign-up http://www.questionpro.com/free-academic-surveys.html Go to URL and enter email
- 3. QuestionPro Home Screen • After you verify your account with the email link, go to the home screen and click “Create Survey” • Create from scratch
- 4. Follow the Wizard Dialog Step 1: Name the survey Step 2: Choose a style template Step 3: Integrate with Facebook! Will require individuals to login with their Facebook credentials and can optionally store UID, Name, and other identifying variables: Hello IRB! Step 4: Finish, takes you to a question creation page; on this same page you can draft intro text
- 5. Create a new question Survey editing dashboard: Dropdown gives a range of standard question types: Choose Multi-Point Scale; click next Enter a “base” – the basic question intro Enter individual row choices – these can be Likert-type items Enter column designators – for Likert, these would be strongly agree to strongly disagree Optional not-applicable checkbox allows users to actively opt out of an item
- 6. Editing question text & response options Click to type in the question stem Then add two or more response options Notice the formatting control options in the right hand pane Text is saved as you click away; options are saved immediately
- 7. Preview your work Link appears in a box where you can copy This is also a “home” control screen where you can add a header, logo, introductory text The green plus sign allows you to add more questions Options at the bottom allow addition of a text footer and designation of an URL for a thank you page when users complete your survey Test frequently to ensure you are getting what you want
- 8. QuestionPro Paid Accounts • Free survey limited to 10 questions and 100 responses; next step up is $15.00/month and removes all of these restrictions • Universities can get a site license that opens to all students, faculty, staff • Note: Surveys created with the regular design process work on mobile devices with no additional modifications
- 9. Show Your Work to Others • Two ways: – Distribute a link to one or more classmates • Ask them to complete your survey and provide you with feedback – Grab a screen shot of your survey page • On Windows, Alt+PrtScrn (on laptops you may also need to press the Function key) • On Mac, Shift+Command+4, then position the mouse over the window, then press spacebar, then click • Put your screenshot in a PowerPoint file and upload to SlideShare (or another sharing service); send a link to your classmates