http://tc.eserver.org/dir/Articles/Research/Methods A listing of the most recently indexed works about Articles and Research and Methods in the field of technical communication. en-us Copyright (c) 2005-08 by the EServer. All rights reserved. tclib-editorial@eserver.org (TC Library Editorial Board) webmaster@eserver.org (Geoffrey Sauer) http://tc.eserver.org/images/newlogo.gif http://tc.eserver.org/dir/Articles/Research/Methods http://tc.eserver.org/35271.html http://tc.eserver.org/35271.html One of the key characteristics of a manipulation technique versus related techniques like transformation is that the underlying data remains unchanged. The main thing we’re doing is changing the relationship - logical or physical - that one piece of data has with another. Reorganizing the data helps us to identify patterns that may otherwise not be apparent. In fact, it is almost certain that most patterns won’t be visible at first glance. Let’s start by taking a more detailed look at some of the processes that contribute to the manipulation of data. http://tc.eserver.org/35272.html http://tc.eserver.org/35272.html On a recent project I needed to collect and analyze the content management templates in use across a large enterprise Intranet. We were looking to inventory the diversity of templates in use; whether they existed outside or within the enterprise content management system; what changes might be made to the ‘official’ template set to reduce the overall number of templates, and to prepare for the migration of all content to a new design a few months down the track. I looked around at the literature for information architecture and Web design generally and found quite a few references to content inventories and content analysis, but nothing on analyzing templates. http://tc.eserver.org/35239.html http://tc.eserver.org/35239.html All research methods have their pros and cons, the problem comes when you rely on just one method. I’m often disappointed when UX and IxD practitioners describe the research they do, and it’s obviously very one dimensional. This is where the concept of “triangulation” comes into its own. Also known as “mixed method” research, triangulation is the act of combining several research methods to study one thing. They overlap each other somewhat, being complimentary at times, contrary at others. This has the effect of balancing each method out and giving a richer and hopefully truer account. http://tc.eserver.org/33721.html http://tc.eserver.org/33721.html There is a trend among some in the UX community to take the U out of UX and refer to our discipline simply as experience design. One reason for this change in terminology is that it lets us talk about a specific target audience in terms that resonate with business stakeholders more than the generic term user—for example, customer experience, patient experience, or member experience. The other reason for using the term experience design rather than user experience design is that it recognizes the fact that most customer interactions are multifaceted and complex and include all aspects of a customer’s interaction with a company or other organizational entity, including its people, services, and products. http://tc.eserver.org/33496.html http://tc.eserver.org/33496.html This study examined the effect on survey results of having no neutral or mid-point on a Likert scale. Participants in a face-to-face omnibus survey were shown either a five point (with mid -point) or four point (no mid-point) Likert scale of importance on a card and asked to state their opinion about the importance of product labelling (additives, ingredients etc.) on packaged foods. This research provides some evidence that social desirability bias, arising from respondents' desires to please the interviewer or appear helpful or not be seen to give what they perceive to be a socially unacceptable answer, can be minimised by eliminating the mid-point ('neither... nor', uncertain etc.) category from Likert scales. There is also some evidence that the presence or absence of a mid-point on an importance scale produces distortions in the results obtained. http://tc.eserver.org/32708.html http://tc.eserver.org/32708.html Sufficient response rates are important for surveys. A survey that collects very little data may not contain substantial information. In order to collect successful responses, researchers must take into consideration the audience, the quantity of online surveys in circulation, and the potential for surveys reported as spam. These factors may result in lower respondent interest and acceptance of survey invitations. But there are ways to increase response rates! http://tc.eserver.org/32709.html http://tc.eserver.org/32709.html This guide provides information on writing successful and effective survey questions, creating survey flow and layout, calculating response rates, tips for increasing response rates, and the pros and cons of online surveys. (Plus an appendix of links and works cited for additional help in survey design.) http://tc.eserver.org/32165.html http://tc.eserver.org/32165.html Qualitative sampling methods have been largely ignored in technical communication texts, making this concept difficult to teach in graduate courses on research methods. Using concepts from qualitative health research, this article provides a primer on qualitative methods as an initial effort to fill this gap in the technical communication literature. Specifically, the authors attempt to clarify some of the current confusion over qualitative sampling terminology, explain what qualitative sampling methods are and why they need to be implemented, and offer examples of how to apply commonly used qualitative sampling methods. http://tc.eserver.org/31600.html http://tc.eserver.org/31600.html Regardless of the cause for your company’s resource crunch, focus on getting small wins as often as possible throughout your involvement in a project. This is a fairly common piece of advice that crops up time and time again, but it’s very much worth repeating. And it applies just as readily to both situations where time is short and those when there’s just not enough of you to go around. http://tc.eserver.org/31589.html http://tc.eserver.org/31589.html This month's column is a quiz. I'll set up some scenarios, you choose which research approach you think is best. At the end, I'll defend why I think my own answers are right! http://tc.eserver.org/31592.html http://tc.eserver.org/31592.html The wonders of technology have opened up easy-to-use on-line survey creation and analysis. Yet if you take the numbers the surveys provide at face value, you may be under-representing your audience's true responses. The following examples demonstrate how to phrase questions for more accurate results. http://tc.eserver.org/31591.html http://tc.eserver.org/31591.html All too often companies conduct a survey and do nothing with the results. This problem can be avoided by making sure that management is committed to acting on the findings before you even conduct the research (the topic of this month's column) and developing highly actionable research tools (covered last month). http://tc.eserver.org/31594.html http://tc.eserver.org/31594.html All too often companies conduct a survey and do nothing with the results. This problem can be minimized through developing a highly actionable survey in the first place (the topic of this month's column) and making sure that management is committed to acting on the findings (to be covered next month). Here are some suggestions for developing a survey that leads to highly actionable results. http://tc.eserver.org/31593.html http://tc.eserver.org/31593.html Who has time to do communication audits anymore? Only the lucky few. The author shows ways to find out everything you need to know, just as fast as you need to know it. http://tc.eserver.org/31595.html http://tc.eserver.org/31595.html The number of surveys to send out depends on how many employees you have and what rate of response you are likely to achieve. If you have a relatively small number of employees, you might need to send out surveys to everyone. If you have over several thousand employees, you would need only 500-600 completed surveys to have fairly reliable results for your population as a whole, assuming the respondents accurately reflect the demographics of the entire group. So, if you expect to have a 100% response rate, you would mail out surveys to a random sample of 600. More realistically, if you typically have a response rate of 50%, you'd need to survey 1,200 people (600 divided by 0.5). http://tc.eserver.org/30591.html http://tc.eserver.org/30591.html It is important for us to gain knowledge about our audiences before we start developing our information packages. It is equally important for us to get feedback after we have produced our information so that we know how well it was received by our audiences. http://tc.eserver.org/29017.html http://tc.eserver.org/29017.html This article discusses a theoretical framework for situating interpretations of textual data collected during research. Based on the reader response theory of Louise Rosenblatt, this framework consists of a continuum representing the range of interpretative assumptions--stances--researchers can bring to their reading of textual data. The continuum is bounded by the two most extreme stances defined by Rosenblatt as efferent, roughly comparable to the stereotypical scientific interpretative tradition, and aesthetic, roughly comparable to the stereotypical humanities interpretative tradition. http://tc.eserver.org/28656.html http://tc.eserver.org/28656.html Quantitative studies, while providing us with a method for estimating user population statistics, cannot provide us with proof. Used carefully, however, they can tell us a great deal--and if not with certainty, at least with a known amount of uncertainty. http://tc.eserver.org/26759.html http://tc.eserver.org/26759.html This article examines some advantages and disadvantages of conducting online survey research. It explores current features, issues, pricing, and limitations associated with products and services, such as online questionnaire features and services to facilitate the online survey process, such as those offered by web survey businesses. The review shows that current online survey products and services can vary considerably in terms of available features, consumer costs, and limitations. It is concluded that online survey researchers should conduct a careful assessment of their research goals, research timeline, and financial situation before choosing a specific product or service. http://tc.eserver.org/24568.html http://tc.eserver.org/24568.html This article explores three ways to design US empirical methods to be more valid and ethical in cross-cultural studies. First, intercultural researchers need to distinguish broad rhetorical and cultural patterns from regional, organizational, and personal patterns, a process that requires balancing the fact of difference with the need for generalization. Second, US researchers need to distinguish not only the differences in rhetorical patterns in a form of communication but also in the ways that form is used rhetorically. Third, researchers need to construct researcher-participant relationships that are sensitive to the values of organizational relationships in both cultures. http://tc.eserver.org/24508.html http://tc.eserver.org/24508.html Although discussion of composition research methods over the last 10 years has culminated in Conference on College Composition and Communication (CCCC) guidelines, these guidelines do not include procedures for verifying qualitative data. Such procedures would entail having a third party check to some degree that the researcher spent the time claimed at the site and that the subjects did what was described and said what was quoted in the published research. This commentary reviews federal policies on research misconduct and government and professional association responses to data faking, noting the additional danger of incompetent investigations of research misconduct. Arguing that the discipline should take appropriate measures to verify qualitative data, I recommend a two-tiered approach.