The Research Excellence Framework (REF) is the U.K. government’s means of allocating funding to universities based on assessments of the research they produce. Conducted every five years, this exercise now includes not only the ‘quality’ of research but also its real-world ‘impact’. This helps determine the £7.16 billion distributed annually to universities and influences the reputations of institutions and academics. Writers are therefore keen to make the most persuasive argument for their work they can in these submissions through the narrative case studies that the submission requires. In this article, we examine all 6,361 case studies from the last exercise in 2021 to explore the rhetorical presentation of impact through an analysis of authorial stance. We found considerable use of self-mention, hedges, and boosters, with the hard science fields containing statistically significantly more markers and applied disciplines being particularly strong users. The study contributes to our understanding of stance in academic writing and the role of rhetorical persuasion in high-stakes assessment genres.

Because source use is a key academic literacy skill tied to students’ socialization into the university, scholars have called for more research on how novice second language (L2) writers’ use of sources changes over time as they engage with disciplinary discourse. The present study, therefore, tracked the semester-long development of thirty undergraduate L2 students’ source use in a research writing seminar course. Each student wrote two research papers for the course, providing sixty papers for both quantitative and qualitative text analysis. The researcher conducted data analysis in terms of citation density, source type, citation type, and source use purpose. Findings showed that students’ engagement with scholarly articles led to formulation of new citation patterns: incorporation of research summaries and frequent use of nonintegral citations. In addition, citation density increased overall, with scholarly sources newly used in theoretical orientations to John M. Swales’s CARS model. Nonetheless, students’ papers demonstrated a lack of proficiency in the sophisticated aspects of source use. The discussion concludes with suggestions for source use instruction in line with students’ understanding of disciplinary discourse.

This article explores how public writers view rhetorical decisions in their use of quantitative information to educate, inform, and move audiences toward action. Using the concept of “statistical framing” to describe how writers signal evaluations of numbers to their readers, we set out to learn how these writers connected their rhetorical goals to how they framed quantitative information. We interviewed 14 writers using the discourse-based interview method and found that, for various reasons, writers valued speeding up and slowing down evaluations of numbers.

We report on a longitudinal case study (n = 9) about popularization writing skills in undergraduate interdisciplinary students. Writing skills were determined by analyzing components of the cognitive process model of writing proposed by Hayes. Keystroke logging and video observation were used to analyze the text construction process (the process level) in third-year writing. Genre knowledge (the control level) was analyzed through text analysis and assessment of first-year and third-year texts. Results showed that writing was highly individualized at the process level, including switches between processes, timing, number of edits, and reliance on the source text. At the control level, popularization genre knowledge did not significantly change over time and text quality remained low to average, suggesting a lack in genre knowledge. Choices in the writing process are, thus, not reflected in the quality of the writing product. These findings point to a need for explicit training in popularization discourse alongside academic discourse training.

Because evidence is still limited on writing motivation around the globe and the factors that could influence it, a survey-based quantitative study with 2,067 Costa Rican students from first to sixth grade (84 classrooms in 4 schools) was conducted to explore variations in two constructs of motivation for school writing across school grades and gender in Costa Rican students. Attitudes towards writing were investigated with students from first to sixth grade, while self-efficacy beliefs towards writing were investigated with students from third to sixth grade. Results show that students’ positive attitudes towards writing decreased with grade level, with the highest positive attitudes found in second grade and the lowest in sixth grade. Grade level only determined students’ perceived self-efficacy for generating ideas and concentrating during writing, but not for punctuation and spelling, which is interpreted in relation to the Costa Rican writing education curriculum. Girls from second to sixth grade reported more positive attitudes towards writing than boys; however, they only had higher self-efficacy beliefs for generating ideas and not for punctuation, spelling, or concentrating on a writing task.

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.

ChatGPT has created considerable anxiety among teachers concerned that students might turn to large language models (LLMs) to write their assignments. Many of these models are able to create grammatically accurate and coherent texts, thus potentially enabling cheating and undermining literacy and critical thinking skills. This study seeks to explore the extent LLMs can mimic human-produced texts by comparing essays by ChatGPT and student writers. By analyzing 145 essays from each group, we focus on the way writers relate to their readers with respect to the positions they advance in their texts by examining the frequency and types of engagement markers. The findings reveal that student essays are significantly richer in the quantity and variety of engagement features, producing a more interactive and persuasive discourse. The ChatGPT-generated essays exhibited fewer engagement markers, particularly questions and personal asides, indicating its limitations in building interactional arguments. We attribute the patterns in ChatGPT’s output to the language data used to train the model and its underlying statistical algorithms. The study suggests a number of pedagogical implications for incorporating ChatGPT in writing instruction.

Digital technologies have dramatically changed the way scientists produce, circulate, and disseminate scientific knowledge. Here we investigate women scientists’ writing activity and digitally mediated discursive practices in their professions. Using survey techniques, we identify patterns of professional and public science communication online across the disciplines. We also explore the potentially interrelated genres—“genre systems”—that routinely enact typified rhetorical actions in their professional contexts. The findings show that their socioliterate activity fully reflects the importance that their professional contexts attach to certain “privileged” genres of professional communication (e.g., journal articles), despite the fact that the respondents value highly genres of socially responsible research (e.g., blogs, infographics). Statistical analyses further confirm that “disciplinary culture” is a determining factor in the extent to which respondents engage with collaborative genres and participatory science genres. We report significant differences in the use of digital mediation tools to communicate science online to both expert and lay audiences. Finally, we discuss several implications for writing pedagogy and the development of digital skills to support scientists, especially women, who want or need to promote and disseminate their research widely.

High school students for whom English is a second language (L2) often struggle with effective text revision because of limited ability to self-regulate their writing, that is, to manage the subprocesses of writing and to use writing-related knowledge and strategies. To help students in China acquire effective text revision skills for English persuasive essays, self-regulated strategy development (SRSD) revision instruction was applied both with and without peer interaction targeting knowledge of six writing dimensions. An experimental design involving 120 Chinese 11th-grade students in three conditions, that is, SRSD revision instruction with and without peer interaction (two treatment conditions) and conventional instruction without SRSD (control condition), was applied to examine the instructional effects on students’ writing and text revisions. Analyses of covariance revealed a statistically significant increase in text length and improvement in students’ text quality regarding higher-order content-level writing dimensions in both treatment conditions compared to the control condition in a post-intervention test. Notably, the most substantial improvement regarding both text length and text quality was observed in the SRSD plus peer interaction condition. Further, students in both treatment conditions made more text revisions involving longer text segments aimed at improving quality and changing meaning compared to those in the control condition. Among these, the students in the SRSD plus peer interaction condition exhibited the highest frequency of high-quality text revision during the posttest. The findings provide new insights into the effectiveness of SRSD revision instruction and peer interaction in developing L2 high school students’ self-regulation in revising English persuasive essays.

This article presents the development of a specialized data set for analyzing Estonian metadiscourse markers in academic usage, extending Hyland's interpersonal metadiscourse model to a non–Indo-European language. Our goal is to show how metadiscourse, as a feature of a writing tradition, can reveal aspects of writing in languages other than English, complementing the traditionally Anglo-centric perspective in metadiscourse research. By analyzing 21 Estonian linguistics research articles, we offer a transparent procedure to address methodological issues in metadiscourse studies and demonstrate the need for language-specific adjustments in the framework. We introduce statistical methods for analyzing multidimensional associations among marker categories, linguistic level, and rhetorical text structure. The findings suggest that Hyland’s metadiscourse model can be adjusted for specific languages, highlighting the influence of language structure on metadiscourse category variation and linguistic expression levels. The study reinforces that the distribution and manifestation of metadiscourse are shaped, among other factors, by unique writing traditions.

In this work, we explore the use of digital technologies and statistical analysis to monitor how Italian secondary school students’ writing changes over time and how comparisons can be made across different high school types. We analyzed more than 2,000 exam essays written by Italian high school students over 13 years and in five different school types. Four indicators of writing characteristics were considered—text length, text complexity, and two indicators of source use, all extracted using natural language processing tools—which provided insights into students’ citation practices over time and in different school contexts. In particular, we measured the portion of students’ essays that included text from source material as well as the amount of copied text that was not properly referenced. We found that student essays became shorter in length over time while also getting more complex. We also found that the tendency to copy uncited text in the essay decreased. High school curricula predict different writing strategies: essays written by students attending scientific and humanistic high schools are longer and less subject to incorrect citations. We argue that such text analysis enables the study of writing features in high school classes and supports the evaluation of curricula.

ABSTRACT The growing capabilities of large language models (LLMs) pose important questions for rhetorical theory and pedagogy. This article offers an overview of how LLMs like GPT work and a consideration of whether they should be considered rhetorical agents. To answer this question, the article considers structural and argumentative similarities in classical theorizations of rhetoric and the philosophy of Wilfrid Sellars. GPT’s particular method of encoding statistical patterns in language gives it some rudimentary semantics and reliably generates acceptable natural language output, so it should be considered to have a degree of rhetorical agency. But it is also badly limited by its restriction to written text, and an analysis of its interface shows that much of its rhetorical savvy is caused by the highly restricted rhetorical situation created by the ChatGPT interface.

Classroom practices and approaches often rely on anecdotal evidence for implementation and effectiveness. Conducting small-scale, quasi-experimental studies can provide empirical evidence for the effectiveness of a classroom practice. In technical and professional communication, quasi-experiments tend to be underused compared to other research methods. This article introduces quasi-experimental research as a tool for instructors to use in their teaching approaches and practices by addressing two common fears that prevent them from conducting such research: the fear of doing it wrong and the fear of wasting time. The authors use case studies to explain key concepts, including the difference between quasi and true experiments, selection bias, and confounding factors, and discuss principles of quasi-experiments related to ethical considerations, data collection, and statistical analysis.

We report on a college-level study of student reflection and instructor prompts using scoring and corpus analysis methods. We collected 340 student reflections and 24 faculty prompts. Reflections were scored using trait and holistic scoring and then reflections and faculty prompts were analyzed using Natural Language Processing to identify linguistic features of high, middle, and low scoring reflections. The data sets were then connected to determine if there was a relationship between faculty prompts and scores. Additional analysis was completed to determine if there was a relationship between scores and students’ GPAs. The corpus linguistics analysis showed that higher-scoring reflections used words that referred to the self, the writing process, and specific rhetorical terms. Additional analysis showed student GPAs did not correlate with holistic scores but that higher scoring reflections were from faculty who included learning goals on reflective writing prompts. Results suggest that teachers can de-mystify reflective writing by linking learning outcomes to textual tasks and that corpus linguistics methods can provide an understanding of how local learning goals are transmitted to students.

Students with disabilities (SWD) in general education science classes are expected to engage in the scientific practices and potentially in the writing of arguments drawn from evidence. Currently, however, there are few research-based instructional approaches for teaching argument writing for these students. The present article responds to this need through the application of an instructional model that promises to improve the ability of SWDs to write scientific arguments. We approach this work in multiple ways. First, we clarify our target group, students with high incidence disabilities (learning disability, ADHD, and students with speech and language impairments), and discuss common cognitive challenges they experience. We then explore the role of argumentation in science, review research on both experts’ (scientists’) and novices’ (students’) argument writing and highlight successful cognitive strategies for teaching argument writing with neurotypical learners. We further discuss SWDs’ general writing challenges and how researchers have improved their abilities to comprehend and evaluate scientific information and improve their domain-general writing. Cognitive apprenticeships appear advantageous for teaching SWDs science content and how to write scientific arguments, as this form of instruction begins with problem solving tasks that connect literacy (e.g., reading, writing, argumentation discourse) with epistemic reasoning in a given domain. We illustrate the potential of such apprenticeships by analyzing the conceptual quality of arguments written by three SWDs who participated in a larger quantitative study in which they and others showed improvement in the structure of their arguments. We end with suggestions for further research to expand the use of cognitive apprenticeships.

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.

The data article is a digital genre that has emerged in response to new exigencies, namely, to make data more transparent and research processes more trustable and reproducible. Following White’s framework of intersubjective stance, this article draws upon statistical tools and collocational and discourse analyses to examine the linguistic resources deployed by authors to respond to both exigencies. The results show a high presence of dialogically contractive resources (above all, passive constructions and, only in one data article section, inanimate subjects) by which authors do not fully engage with dialogic alternatives (heteroglossic disengagement). Dialogically expansive resources (anticipatory it-subjects and we-pronouns) are extremely rare, corroborating that the authors’ stance is neither monoglossic (undialogized) nor heteroglossically engaged. Further, the discourse functions and ensuing pragmatic effects of the prevailing intersubjective stance resources, significantly different between and among the data article sections, including their associated abstracts, reveal the construal of very distinct dialogic spaces for writer-reader interaction within this article type. Such intra-generic variation may be explained by the social (and rhetorical) action that the genre fulfills, namely, to describe and highlight the value of the research data.

Factual writing is a key macrogenre of American K-12 schooling that is also valued in workplace and society. This study examined the genre and register features of two subgenres of factual writing—biography and report—composed by 48 sixth-grade students in a curriculum unit on scientists and science-related careers aimed at developing students’ understanding of the nature of science. These texts were analyzed for a range of schematic, lexical, and grammatical features that instantiate the two target genres. Statistical and descriptive analyses revealed that the students demonstrated a fairly mature control over the schematic and lexical features that realize the purpose of either genre and relied heavily on the grammatical resources characteristic of everyday registers in constructing both genres. Additionally, there was a positive relationship between the students’ genre/register familiarity and the holistic quality of their writing, and the students’ reading proficiency was a significant predictor of their genre familiarity and holistic writing quality, but not their register understanding. These findings suggest that learning the grammatical resources characteristic of academic registers remains a major and potentially daunting task for many adolescents.

The Lumosity games and subsequent “memory wars” illustrate the rhetorical power of statistics in public discourse. Defenders of Lumosity build upon discursive traces based in societal fears and arguments based in “science” supported through statistics and experimentation. Detractors of Lumosity argue that their experiments are faulty. A close rhetorical reading reveals that certain commonalities exist across defenders and detractors alike. Looking at the inventional strategies of the statistical analyst as rhetor demonstrates how statistical tools are granted agency to determine research outcomes. Displacement of rhetorical agency has ramifications for understanding popular scientific discourse and making decisions as a society.

Scholars in discourse studies have defined legitimation as the justification (and critique) of powerful institutions and their practices. In moments of crisis, legitimation tactics often shift. This article considers how such shifts are incited by unauthorized information leaks. Leaks, I argue, constitute freshly available texts that reveal privileged institutional information presented in a specialized rhetorical style. To explore how leaks are harnessed by institutional critics, I examine the 2013 Snowden/National Security Agency (NSA) crisis. Combining corpus analysis with discourse analysis, I explore how Snowden’s NSA leaks affected the online writing of the American Civil Liberties Union (ACLU). I also consider overlaps between the rhetorical patterns in the leaked NSA documents and those in the ACLU’s post-leaks writing. Findings from my analysis of legitimation and style categories suggest that, prior to the leaks, ACLU writers primarily used a character- and narrative-based style to delegitimize the NSA’s policies as illegal and secretive, and to push for their reform. After the leaks, though, the ACLU mainly used an informationally dense style rife with academic terms and vocabularies of strategic action, portraying NSA surveillance as massive and complex. As the documents moved from the NSA’s secret, technical discourses to public, critical discourses, the latter came to resemble the former rhetorically. These findings raise crucial questions about how critics can make use of leaks without necessarily relegitimizing institutional power.

Scholars in the field of writing and rhetorical studies have long been interested in professional writing and the ways in which experts frame their research for disciplinary audiences. Three decades ago, rhetoricians incorporated stasis theory into their work as a way to explore the nature of argument and persuasion in scientific discourse. However, what is missing in these general arguments based on stasis are the particular arguments in science texts aimed at persuasion. Specifically, this article analyzes arguments from the stasis of value in introductions of science research articles. This work is grounded in the Classical topoi, or topics, cataloging types of arguments and identifying seven topoi. I analyzed 60 introductions from articles in three different science journals, totaling the number of value arguments and arguments comprising the topoi. Findings yielded different proportions in types of arguments, sharp disparities among the journals, and widespread use of value arguments. The broader issue at work in this article is how scientists make a case for the importance of their research and how these findings might inform writing and argumentation in the sciences.

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.

This study introduces social question-and-answer (SQA) documentation to technical and professional communication scholarship. It conceptualizes SQA as interactive, user-generated documentation and describes contextual information types within social how-to questions that initiate documentation. It also explores whether contextual information associates with answers that complete the interactive documentation. Results reliably describe 15 information types based on content analysis of 3,529 contextual information types from 500 questions. Exploratory statistical analysis suggests that askers may increase answerability by including less speculative thought, more error messages, and less general situation information. To facilitate complete SQA documentation, the study calls for additional research into question content and answerability.

This study examines the visual representation of Chinese immigrants in the U.S. Statistical Atlases from 1874 to1925. Compilers of the Atlases used a variety of visual strategies to facilitate rhetorical inclusion and exclusion, and by creating particular visual emphasis, constructed Chinese immigrants as being alienated, racialized, and low in the ethnic hierarchy. The visual constructs of the Chinese population reflected and reshaped the state’s policy of immigration restriction in the 19th and 20th centuries.

For many, the academic job-search process involves experiencing rejection, self-doubt, and depression. And a common form of communication during this process—job-refusal letters—can reinforce these negative experiences. This article uses rhetorical genre analysis to study 131 academic job-refusal letters and the applicants’ perceptions of these letters. First it constructs a model of the common genre moves in the sample of letters, giving specific examples of variation in these moves. Then it correlates these moves with the applicants’ perceptions of the letters they received, analyzing the results for statistically significant variations in patterns of applicant perceptions. Based on these analyses, the author argues that the most typified genre moves do not contribute to applicants’ feeling valued. Instead, letters building goodwill through less typified moves and language are often more effective. Ultimately, he argues that we can make the job-search process more humane by attending to the specifics of the full range of interactions between applicants and institutions.

Approximately 1.8 million students in the United States are homeschooled, according to 2012 data from the National Center for Education Statistics (Redford et al.). However, researchers have only begun to examine how these homeschooled students reflect on their own literacy development, especially once they have entered college. Using the Digital Archive of Literacy Narratives (DALN), I gather and analyze eighteen literacy narratives of currently and formerly homeschooled students, exploring how these students reflect on their own developing literacies, especially as they contrast their experiences with those of their traditionally-schooled classmates. The results of this study reveal, first, that these homeschoolers participate in a wide variety of literacy practices that both respond to and redefine those of the “traditional” classroom. Second, many of the narratives tend to embrace the “child prodigy” literacy structure, as identified and defined by Kara Alexander (2011) and Stephanie Paterson (2001). Third, four narratives reveal problems that can occur in homeschooling: namely, a parent-educator’s perceived lack of authority, and, in two cases, a tendency to trap students in unhealthy family environments. Despite these exceptions, most narratives reveal their family network as a place of vibrant literary sponsorship; and a few students narrate the “pedagogic violence” that may occur when they transition from this warm family environment into traditional secondary schools (Worsham 121). Overall, I argue that as participants in a non-dominant mode of education, these homeschoolers feel the need either to justify or to repudiate their literacy acquisition process against the dominant group. More quantitative research is needed to understand whether these experiences represent trends across the homeschooling movement.

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.

The purpose of this article is to examine the metatheoretical differences that impact how runningrecords and miscue analysis differ in (a) the quantification of readers’ produced responses totext and (b) the analysis of oral reading behaviors. After providing historical and metatheoretical overviews of both procedures, we present the data source, which included 74 records of oral readings from an extant data set collected from an informal reading inventory. Each record was coded using running record and miscue analysis procedures. We used inferential statistics to examine relationships across conceptually similar items of analysis (for example, the number oferrors or miscues). Findings from the inferential statistics show that there were significant, positive correlations between three of the five conceptually similar items, and a lack of statistically significant correlations between the use of meaning and grammar between running records and miscue analysis. Based on the findings, we argue that both procedures, which are often confused and conflated, possess metatheoretical differences that influence how oral reading behaviors are interpreted. These differences, in turn, impact how reading ability is framed and socially constructed. We conclude with the significance of this research for education professionals.

Text-driven, quantitative methods provide new ways to analyze student writing, by uncovering recurring grammatical features and related stylistic effects that remain tacit to students and those who read and evaluate student writing. To date, however, these methods are rarely used in research on students transitioning into US postsecondary writing, and especially rare are studies of student writing that is already scored according to high-stakes writing expectations. This study offers a corpus-based, comparative analysis of higher- and lower-scoring Advanced Placement (AP) exams in English, revealing statistically significant syntactic patterns that distinguish higher-scoring exams according to “informational production” and lower-scoring essays according to “involved” or “interactional” production (Biber, 1988). These differences contribute to what we label emphatic generality in the lower-scoring essays, in which writers tend to foreground human actors, including themselves. In contrast, patterns in higher-scoring essays achieve what we call elaborated specificity, by focusing on and explicating specific, often abstract, concepts.These findings help uncover what is rewarded (or not) in high-stakes writing assessments and show that some students struggle with register awareness. A related implication, then, is the importance of teaching register awareness to students at the late secondary and early university level—students who are still relative novices, but are being invited to compose informationally dense prose. Such register considerations, and specific features revealed in this study, provide ways to help demystify privileged writing forms for students, particularly students for whom academic writing may seem distant from their own communicative practices and ambitions.

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.

Alibaba’s Graphic Media (GM) is the first and only Internet content source that uses infographics to educate Chinese e-commerce merchants. This study investigates target audiences’ attitudes toward GM infographics. Two focus groups perceived GM as a practical information source that aided them in decision making and daily business operations. They preferred viewing graphics to texts and particularly favored statistical graphics. They also identified issues with viewing GM infographics on mobile devices. Based on the study’s findings, the author proposes three areas that communicators can address when designing infographics in similar contexts: content, usability, and overall visual appeal.

More than four generations ago, Nancy Coryell’s (1927) study revealed that an extensive approach to reading instruction is more effective than an intensive approach, yet the reading establishment then continued to promote intensive, close reading methods. Recently, the writers of the Common Core State Standards renewed this debate by advocating that teachers implement more intensive, close reading strategies. I replicated a portion of Coryell’s (1927) study to determine the effectiveness of intensive and extensive reading instruction; to do so, I examined the impact each method had on students’ comprehension and analysis of literature. The study used a quasi-experimental, nonrandomized, pretest-post test comparison group research design. I used test procedures to measure the difference in pretest-to-post test scores within and between both groups for both comprehension and analysis. No statistically significant differences existed in the gains on the subtest measuring reading comprehension; however, statistically significant differences in gains on the subtest measuring analysis of literature were found within both instructional methods. At a time when policy seems to drive English instruction toward an intensive approach, this study suggests that we need more research before the field of English education can properly debate the issue.

This article introduces the concept of stylization and illustrates its usefulness for studying online discourse by examining how writers have employed it in order to parody sexist products such as BIC Cristal for Her, using genderlect in order to introduce dissonance into and reframe patriarchal discourse. A corpus analysis of 671 reviews, written from August through October 2012, confirmed a dramatically higher presence of lexical items and adjectives often stereotyped as feminine, compared to a reference corpus of other parody reviews, as well as the GloWbe corpus housed at Brigham Young University. A qualitative analysis shows the stylized use of these features, and how they contribute to the construction of personas that are intended to mock the sexism inherent in BIC’s advertising. This analysis hopes to encourage more attention to how stylization functions in emerging online genres.

Medical cartography became an important data visualization tool in the 19th century. In this article, the author argues that early yellow fever maps invoked power and authority over diseased space through their visual conventions and scientific authority as statistical graphics as well as by visually reinforcing underlying Western ideologies about disease, illness, and health. Further, the creation of these maps established a visual precedent for invoking this authority that continues today. As public health continues to move toward a global health perspective in the 21st century, understanding how mapping constructs and shapes knowledge about disease, illness, and health will become increasingly important.

Text-driven, quantitative methods provide new ways to analyze student writing, by uncovering recurring grammatical features and related stylistic effects that remain tacit to students and those who read and evaluate student writing. To date, however, these methods are rarely used in research on students transitioning into US postsecondary writing, and especially rare are studies of student writing that is already scored according to high-stakes writing expectations. This study offers a corpus-based, comparative analysis of higher- and lower-scoring Advanced Placement (AP) exams in English, revealing statistically significant syntactic patterns that distinguish higher-scoring exams according to “informational production” and lower-scoring essays according to “involved” or “interactional” production (Biber, 1988). These differences contribute to what we label emphatic generality in the lower-scoring essays, in which writers tend to foreground human actors, including themselves. In contrast, patterns in higher-scoring essays achieve what we call elaborated specificity, by focusing on and explicating specific, often abstract, concepts.These findings help uncover what is rewarded (or not) in high-stakes writing assessments and show that some students struggle with register awareness. A related implication, then, is the importance of teaching register awareness to students at the late secondary and early university level—students who are still relative novices, but are being invited to compose informationally dense prose. Such register considerations, and specific features revealed in this study, provide ways to help demystify privileged writing forms for students, particularly students for whom academic writing may seem distant from their own communicative practices and ambitions.

This article pilots a study in statistical genre analysis, a mixed-method approach for (a) identifying conventional responses as a statistical distribution within a big data set and (b) assessing which deviations from the conventional might be more effective for changes in audience, purpose, or context. The study assesses pharmaceutical sponsor presentations at the Food and Drug Administration (FDA) drug advisory committee meetings. Preliminary findings indicate the need for changes to FDA conflict-of-interest policies.

In this article, we investigate disparate impact analysis as a validation tool for understanding the local effects of writing assessment on diverse groups of students. Using a case study data set from a university that we call Brick City University, we explain how Brick City’s writing program undertook a self-study of its placement exam using the disparate impact process followed by the Office for Civil Rights of the US Department of Education. This three-step process includes analyzing placement rates through (1) a threshold statistical analysis, (2) a contextualized inquiry to determine whether the placement exam meets an important educational objective, and (3) a consideration of less discriminatory assessment alternatives. By employing such a process, Brick City re-conceptualized the role of placement testing and basic writing at the university in a way that was less discriminatory for Brick City’s diverse student population.

Keystroke logging has become instrumental in identifying writing strategies and understanding cognitive processes. Recent technological advances have refined logging efficiency and analytical outputs. While keystroke logging allows for ecological data collection, it is often difficult to connect the fine grain of logging data to the underlying cognitive processes. Multiple methodologies are useful to offset these difficulties. In this article we explore the complementarity of the keystroke logging program Inputlog with other observational techniques: thinking aloud protocols and eyetracking data. In addition, we illustrate new graphic and statistical data analysis techniques, mainly adapted from network analysis and data mining. Data extracts are drawn from a study of writing from multiple sources. In conclusion, we consider future developments for keystroke logging, in particular letter- to word-level aggregation and logging standardization.

As the scope of rhetorical inquiry broadens to cover intersemiotic and intertextual phenomena, scholars are increasingly in need of new, defensible analytic procedures. Several scholars have suggested that methods of discourse analysis could enhance rhetorical criticism. Here, I introduce a discourse-based method that is empirical, delicate, and adaptive to the complexities of intertextual and multimodal rhetoric. Specifically, I argue that rhetorical scholars can productively integrate systemic-functional linguistics, multimodal text analysis, and micro-intertextual comparison. I illustrate how this micro-rhetorical toolkit can be employed to investigate the recontextualization of written political discourse in video journalism.

Grounded in the principle that writing assessment should be locally developed and controlled, this article describes a study that contextualizes and validates the decisions that students make in the modified Directed Self-Placement (DSP) process used at the University of Michigan. The authors present results of a detailed text analysis of students’ DSP essays, showing key differences between the writing of students who self-selected into a mainstream first-year writing course and that of students who self selected into a preparatory course. Using both rhetorical move analysis and corpus-based text analysis, the examination provides information that can, in addition to validating student decisions, equip students with a rhetorically reflexive awareness of genre and offer an alternative to externally imposed writing assessment.

This experimental study investigates the impact of short-messaging service (SMS)—text messaging—on social connectedness and group attitude in student technical communication projects. It also investigates message types and communication medium preferences. Using a between-subjects design, the experiment compares two student groups: SMS only and non-SMS. The results indicated several statistically significant differences. Compared to students in the non-SMS group, students in the SMS-only group (a) communicated more, (b) felt more connected, and (c) sent more questions, answers, and nonproject-related messages. These results provide empirical evidence for using SMS in team contexts.

English programs like mine face a particular challenge: implementing a manageable assessment process in an institutional context featuring scarce resources, staff reductions, and heavy teaching loads. We believe our portfolio-based process enables us to assess our program’s effectiveness without reducing our students’ performance to a set of abstract, statistical data.

This article argues for a more complex understanding of interdisciplinary pedagogy in English studies. Drawing on the authors’ experience designing and coteaching a graduate-level interdisciplinary course in “statistical literacy,” the article forwards a view of interdisciplinary pedagogy as a complex relational process of faculty and student learning.

The purpose of the present study is to examine concurrent and predictive evidence used in the validation of ACCUPLACER, a purchased test used to place first-year students into writing courses at an urban, public research university devoted to science and technology education. Concurrent evidence was determined by correlations between ACCUPLACER scores and scores on two other tests designed to measure writing ability: the New Jersey Basic Skills Placement Test and the SAT Writing Section. Predictive evidence was determined by coefficients of determination between ACCUPLACER scores and end-of-semester performance measures. A longitudinal study was also conducted to investigate the grade history of students placed into first-year writing by established and new methods. When analyzed in terms of gender and ethnicity impact, ACCUPLACER failed to achieve statistically significant prediction rates for student performance. The study reveals some limits of placement testing and the problems related to it.

Despite a long debate and the accompanying call for changes in the past few decades, grammarinstruction in college English classes, according to some scholars, has remained largely “disempowering,” “decontextualized,” and “remedial” (Micciche, 2004, p. 718). To search for more effectiveand empowering grammar teaching, this study explores the use of corpora for problem-basedlearning/teaching of lexicogrammar in a college English grammar course. This pedagogy wasmotivated by research findings that (1) corpora are a very useful source and tool for languageresearch and for active discovery learning of second/foreign languages, and (2) problem-basedlearning (PBL) is an effective and motivating instructional approach. The data collected andanalyzed include students’ individual and group corpus research projects, reflection papers oncorpus use, and responses to a post-study survey consisting of both open-ended and Likert questions.The analysis of the data found the following four themes in students’ use of, and reflectionsabout, corpus study: (1) critical understanding about lexicogrammatical and broader languageuse issues, (2) awareness of the dynamic nature of language, (3) appreciation for the context/register-appropriate use of lexicogrammar, and (4) grasping of the nuances of lexicogrammaticalusages. The paper also discusses the challenges involved in incorporating corpus use into Englishclasses and offers suggestions for further research.

This study explores how different kinds of arguments are situated in academic contexts and provides an analysis of undergraduate writing assignments. Assignments were collected from the schools of business, education, engineering, fine arts, and interdisciplinary studies as well as the humanities, natural sciences, and social sciences in the College of Arts and Science. A total of 265 undergraduate writing assignments from 71 courses were analyzed. Assignments were reliably categorized into these major categories of argumentative writing: explicitly thesis-driven assignments, text analysis, empirical arguments, decision-based arguments, proposals, short answer arguments, and compound arguments. A majority of writing assignments (59%) required argumentation. All engineering writing assignments required argumentation, as did 90% in fine arts, 80% of interdisciplinary assignments, 72% of social science assignments, 60% of education assignments, 53% in natural science, 47% in the humanities, and 46% in business. Argumentation is valued across the curriculum, yet different academic contexts require different forms of argumentation.