This article reviews recent and emerging technology developments in survey research. Recent developments include computer-assisted self-interviewing (CASI) methods using audio and/or video, automated telephone interviewing systems (interactive voice response), and the World Wide Web. Thesedevelopments are already having a profound effect on survey data collection. Newer technologicalchallenges include wireless applications (mobile web) and portable digital devices. These technologies offer many opportunities to expand the way we think of survey data collection, increasing the wayswe can interact with survey respondents and expanding the range of stimulus material that can be used.The implications of many of these new developments for survey data quality are yet to be fully understood. This article reviews the state of the field with regard to emerging data collection technologies,and their implications for survey research.
Dedoose was designed from the ground up—by researchers, for researchers—to meet the needs of today’s social scientists working in academia, marketing, and education—virtually anyone looking for innovative software to facilitate the search for answers to research questions via qualitative or qualitative and quantitative data. These data may be numbers, scale scores, demographics, stories, fieldnotes, vignettes, interview or focus group transcripts, photos, and the list goes on AND they may represent individuals, belief systems, settings, culture, relationships, and this list goes on too—clever research teams looking for rich, reliable, valid, and comprehensive answers to their research questions.
How is this being done? Through mixed methods! The creative integration of qualitative and quantitative approaches. Dedoose was designed and developed to serve the growing numbers of researchers who appreciate the value of bringing multiple methodological approaches together. When problems guide the methods (and not methods being forced onto problems) we increase the likelihood that appropriate perspectives will be implemented toward seeking answers
Webcast and white paper from Omniture on what customers do, not what they say.
Stanford computer scientists have created a website that gives anyone who can cut and paste the ability to answer such questions, systematically and for free.
The website is known as etcML, short for Easy Text Classification with Machine Learning.
Machine learning is a field of computer science that develops systems that give computers the ability to acquire new understandings in a more human-like way.
The etcML website is based on machine-learning techniques that were developed to analyze the meaning embodied in text, then gauge its overall positive or negative sentiment. To access this computational engine, users drag and drop text files into a dialog box.