Social media, the pandemic, and environmental hazards have all played a role in shifting the landscape of risk communication. This paper takes a retroactive risk approach to study how COVID-19 messaging was shaped in the first 2 years of the pandemic. Using a corpus of 764 news releases from five health departments, I combine corpus analysis with coding based on government capacities to show that health departments highlighted public health data (surveillance) and risk guidance (governance), while downplaying enforcement (coercion). This process of revisiting communication from an acute risk phase can help us recalibrate how public health roles are constituted through language to prepare for future events.

Asking for money is one of the core communicative functions of a crowdfunding campaign. This article uses a novel corpus analysis scoring technique to investigate appeals language in a corpus of 312,529 Kickstarter campaigns. Our results show distinctive use patterns involving the verbs need , raise , please , make , and hope . Conceptual patterns, such as inviting the reader to participate in the creation of a product, underlie specific formulations of successful and unsuccessful word patterns and sentences. We conclude with theoretical and practical outcomes to aid technical communicators in more effectively writing crowdfunding campaigns on Kickstarter.

This study analyzes the visualization of census data in the U.S. Statistical Atlases from 1874 to 1925. I examine how visual strategies were used to construct an American identity by contrasting the “native” population with the “other”—new immigrants and African Americans, which were visualized as undesirable counterparts. By defining the “other,” the Atlases created a pan ethnic identity of the “native white” population, established a racial hierarchy, and hardened the division between old and new immigrants. The study develops a rhetorical framework for understanding how data design is used to marginalize racially and ethnically minority groups.

This article reports on the first stage of a mixed-methods community-based research project involving residents of a socioeconomically challenged neighborhood in Baltimore City, Richnor Springs, and service-learning students in technical and professional communication courses at Loyola University Maryland (Loyola). To measure outcomes, we analyzed student surveys from 80 respondents and critical reflections from two students. We also analyzed interviews from two students and two community members. Findings indicate that there were no statistical mean differences in the educational experiences between service-learning and nonservice-learning students; however, there were significant mean differences in transformational experiences. Findings also indicate that community members responded positively and that stakeholders valued the personal relationships that developed.

The small amount of work on workplace writing assessment has focused almost entirely on student readiness for professional writing or included case studies of employer expectations for new writers. While these studies provide insight into current pedagogies for technical writing and writing instruction in general, the main conclusion to be drawn from them is the unsatisfactory number of recent graduates who display workplace readiness. In this article, we explore writing assessment research in both the academy and the workplace and attempt to identify ways in which the academy’s assessment practices lead, lag behind, or simply differ from writing assessment in the workplace. This comparison will serve to identify not only where the academy might improve pedagogy in its curriculum for technical communication in order to best prepare students for workplace writing but also where the workplace might learn from the academy to improve its own hiring and training procedures for technical writers. In this case study, we used Neff’s approach to grounded theory to categorize rater feedback according to a ranking system and then used statistical analysis to compare writer performance. We found that the direct test method yields the most predictive results when raters combine tacit knowledge with a clearly defined rubric. We hope that the methods used in this study can be replicated in future studies to yield further results when exploring workplace genres and what they might teach us about our own pedagogical practice.

A quantitative research study collects numerical data that must be analyzed to help draw the study’s conclusions. Teaching quantitative data analysis is not teaching number crunching, but teaching a way of critical thinking for how to analyze the data. The goal of data analysis is to reveal the underlying patterns, trends, and relationships of a study’s contextual situation. Learning data analysis is not learning how to use statistical tests to crunch numbers but is, instead, how to use those statistical tests as a tool to draw valid conclusions from the data. Three major pedagogical goals that must be taught as part of learning quantitative data analysis are the following: (a) determining what questions to ask during all phases of a data analysis, (b) recognizing how to judge the relevance of potential questions, and (c) deciding how to understand the deep-level relationships within the data.

This article presents a qualitative text analysis of persuasive documents written by a major U.S. airline in a 2004 counter-campaign against the Teamsters union. The methodology for this study is based on Stephen Toulmin's argument model, including his “double triad” and his interpretation of artistic proofs, which parallel the three classical rhetorical appeals. Actual corporate documents are featured in this article, supported by content from management conference calls that were attended by the researchers. The article concludes with implications for teaching and research in the field of technical and professional communication.

The article outlines the technical writing tutorial (TWT) that preceded an advanced ESL writing course for students of English Philology at the Jagiellonian University. Having assessed the English skills of those students at the end of the semester, we found a statistically significant increase in the performance of the students who had taken the TWT in comparison to the control group who spent the time of TWT doing more traditional exercises. This result indicates that technical writing books and journals should be considered as an important source of information for teachers of writing to ESL students.

One of the signatures of scientific writing is its ability to present the claims of science as if they were “untouched by human hands.” In the early years of experimental education, researchers achieved this by adopting a citational practice that led to the sedimentation of their cardinal method, the analysis of variance, and their standard for statistical significance, 0.05. This essentially divorces their statistical framework from its historical conditions of production. Researchers suppressed their own agency through the use of passive voice and nominalization. With their own agency out of the way, they imbued the methods, results, and presentational devices themselves with the active agency of the situation through the use of personification. Such a depiction creates the impression that the researchers and audience stand on equal epistemic ground as interested witnesses to the autonomous activity of a third party, the method, which churns out the brute facts of science.

This article compares the response rates for obtaining journal reprints from colleagues when the requests are made using postcards with or without a self-addressed return label. Higher response rates were obtained from the cards with the self-addressed return labels, and more women responded than did men, but these differences were not statistically significant.

Few concepts in the social sciences have wielded more discriminatory power over the status of knowledge claims than that of statistical significance. Currently operationalized as a = 0.05, statistical significance frequently separates publishable from nonpublishable research, renewable from nonrenewable grants, and, in the eyes of many, experimental success from failure. If literacy is envisioned as a sort of competence in a set of social and intellectual practices, then scientific literacy must encompass the realization that this cardinal arbiter of social scientific knowledge was not born out of an immanent logic of mathematics but socially constructed and reconstructed in response to sociohistoric conditions.

This longitudinal study was conducted to identify trends in entry-level technology, interpersonal, and basic communication competencies and skills using entry-level classified newspaper advertisements from ten standard U.S. metropolitan statistical areas. Two competencies and one skill were selected from the “Workplace Know-How's” identified by the 1991 U.S. Department of Labor Secretary's Commission on Achieving Necessary Skills (SCANS). Specifically, ads including interpersonal competencies increased for the fourth consecutive year; ads including basic communication skills increased for the second consecutive year. Ads including technology competencies decreased slightly; however, the overall trend for technology remains strong. Therefore, the workplace continues seeking the competencies and skills advocated by the SCANS authors.

The problems in technical communications are related more to logical structure than to language. Structure problems occur at document, section, paragraph, and sentence levels. Editing is most effective if it deals with structure first. Structure deficiencies can be detected by applying a range of logical analysis criteria to each text part: looking at the nature and quality of its content and the use of the appropriate discourse sequence. The nature of the content determines where the text part belongs in the section or elsewhere in the document structure. Sufficient definition eliminates vagueness. The correct discourse sequence determines the internal structure of the text part. Lists, headings, classifications, and organograms must comply with the laws of categorization and relevant logical criteria, including some arrived at by lateral thinking.

Anecdotal evidence suggests that using a restricted language called Simplified English (SE) to write procedural documents is the best method to accommodate specific audiences. Providing empirical data to prove or disprove this hypothesis is the point of the experiment reported here. This study examined the effect of document type (SE versus non-SE), passage (Procedure A versus Procedure B), and native language (native versus non-native English speakers) on the comprehensibility, identification of content location, and task completion time of procedure documents for airplane maintenance. This research suggests that using SE significantly improves the comprehensibility of more complex documents. Further, readers of more complex SE documents can more easily locate and identify information within the document. For the documents tested in this experiment, the SE and non-SE documents took essentially the same amount of time for subjects to read and complete the test. Finally, while the difference between native and non-native English speakers could not be tested statistically because of extremely different cell sizes, the comprehensibility and content location scores for the native and non-native speakers appear to be quite different, with the non-native speakers benefiting from SE more than the native speakers.

To study the affective states of technical communicators, we administered a survey to examine three areas: first, the traditional facets or aspects of job satisfaction; second, any possible differences between male and female technical communicators in job satisfaction; and third, any influences on job satisfaction such as job stress that might be unique to the technical communication profession. To ensure the reliability and validity of the measures, the survey included the Job Descriptive Index (JDI), the most widely used measure of job satisfaction in the world. The sample from the Society for Technical Communication's (STC's) membership list yielded 323 usable responses. Our analyses included: a comparison of our subjects' responses to national norms for all occupations, an examination of male and female differences on satisfaction measures, and the use of various appropriate statistical procedures to select only the most significant results for discussion. The results indicate that technical communicators are satisfied with their compensation and opportunities for promotion, but they are dissatisfied with the work itself, their supervision, and their co-workers. No significant gender differences occurred. Implications are discussed.

This article reports the results of survey research designed to determine how students feel about peer assistance and group writing. In general, the results are quite favorable, although more problems surface regarding fully collaborative projects than peer criticism. Statistical analysis of both objective and open-ended items yields suggestions for design and management of collaborative projects in technical communication classes.

Technical communicators are faced daily with digesting the results of research reports; however, many technical communicators do not have the training that would facilitate their comprehension of such reports, particularly the sections of research reports that cite statistical terminology. This article addresses the need of technical communicators to become critical readers of empirical research. Specifically, we present simple definitions of selected research designs and statistical concepts and accompany these definitions with concrete examples related to the field of technical communication research.

In trying to project a positive corporate image and financial health in their annual reports, companies too often confuse and alienate readers with rhetorical smoke and statistical mirrors. Through a more complete understanding of their audiences and by applying effective rhetorical principles to reach those audiences, corporations can both meet the informational needs of report readers and promote a positive and accurate corporate ethos.

A qualitative study using reading protocols suggests that when readers of informative documents understand conveyed information satisfactorily, they make direct confirmations and positive comprehension evaluations. When readers are uncertain about the accuracy of their understanding, they guess, make assumptions, or render the text's language into their own words. When readers' understanding is impaired, they ask for more clearly established links or relationships in the text, or they pinpoint some ambiguity or lack of resolution. When readers' understanding is unsatisfactory but not impaired, they request additional information. In addition, readers make evaluative suggestions that introduce, focus, emphasize, or reiterate their other comprehension-related responses. The response patterns isolated in this qualitative study indicate the need for specific quantitative research and suggest some directions for developing reader-based heuristics for informative writing.

The current job market favors young technical writers who are skilled in the way of the computer both as a subject of writing and as a production tool. In the technical writing classroom students can be exposed to this important technology through assignments that include computerized instruction, word processing, text analysis, artificial intelligence, and communications.

To translate the technical language of a survey instrument into ordinary prose for lay readers, we developed a five-step method: 1) the technical language was standardized; 2) a nontechnical translation was produced; 3) lay readers were tested to discover what parts of the translation were unsuccessful; 4) the reading level of the translation was determined; and 5) a statistical correlation was performed to determine whether or not the translation accurately reflected the technical language. The validation measures in steps 3, 4, and 5 verified that our translation was faithful and readable.

The effect of proposal appearance on technical evaluation scoring was examined experimentally. Two mock proposals were prepared—one from the A Corporation and the other from the B Corporation. Each proposal was prepared in two versions—a “nice” appearing version (stylized “logoed” pages, offset two-color printing, heavy paper stock, plastic 19-ring spiral binding), and a “poor” appearing version (single-spaced typed pages, xerox reproduction, cheap transparent plastic cover, staple binding.) The proposals were scored against a set of eight evaluation questions by twenty-eight experienced government evaluators in a 2 × 2 factorial design experiment. No statistically significant effects of appearance on evaluation scoring were detected. A general model is presented that describes impression in terms of proposal appearance versus proposal thought content. The experiment is interpreted in terms of this model, and “real-world” applications of the model are discussed.

This study compared the effects of an experimental technique of grading papers before the errors were marked with a control technique of grading papers after the errors were marked. The effects were measured in terms of writing improvement and student satisfaction in a developmental English course for technical students. Data on writing improvement were collected in the form of T-unit length and frequency of errors per 100 words, and data on student satisfaction were collected in the form of scores on a semantic differential. Although statistical analyses indicated only slight differences favoring the experimental group on between-group and most within-group comparisons, a statistically significant reduction in errors per 100 words did occur within the experimental group but not within the control group.

A scientist working on a research project of planned duration T—which includes a publication at the end—benefits from describing his work in an interim report. To obtain maximum verbal self-stimulation from his writing act, he should choose a time at approx 0.4T after the start of the project. A mathematical model of the situation leads to this rule of thumb. The description involves an assumed two-stage nature of research (stage I: defining the problem; stage II: solving it). The stages consist of random (Poisson) time sequences of thought flashes—“why-pulses” and “therefore-pulses.” The model fits a problem in nuclear physics, whose solution when translated back produces the timing fraction 0.4. The assumed statistical nature of brain activity is supported by evidence from other fields.