The potential of social media to give insight into the dynamic evolution of public conversations, and into their reactive and constitutive role in political activities, has to date been underdeveloped. While topic modeling can give static insight into the structure of a conversation, and keyword volume tracking can show how engagement with a…

This article reviews critical discourse analysis scholarship in education research from 2004 to 2012. Our methodology was carried out in three stages. First, we searched educational databases. Second, we completed an analytic review template for each article and encoded these data into a digital spreadsheet to assess macro-trends in the field.…

Analysis of teacher-to-teacher talk provides researchers with useful information regarding the teaching profession and teachers' perspectives. This article provides a description of a method, with accompanying example, examining teacher-to-teacher talk by incorporating semantic modality and examining trends of its usage in a quantitative manner.…

Several studies have analysed and assessed online performance and discourse using quantitative and qualitative methods. Quantitative measures have typically included the analysis of participation rates and learning outcomes in terms of grades. Qualitative measures of postings, discussions and context features aim to give insights into the nature…

This paper presents an empirical study grounded in the Community of Inquiry framework (Garrison, Anderson Archer, 2000) and employs quantitative content analysis of student discourse and other artifacts of learning in online courses in an effort to enhance and improve the framework and offer practical implications for online education. As a…

Qualitative methods have become common in statistics education research, but questions linger about their role in scholarship. Currently, influential policy documents lend credence to the notion that qualitative methods are inherently inferior to quantitative ones. In this paper, several of the questions about qualitative research raised in recent…

Clear, coherent and trusted, this book is the perfect guide to the main social research methods in use today. The much anticipated Third Edition of Clive Seale's bestselling title further expands its coverage to provide an authoritative introduction to all of the social research methods used to analyze qualitative and quantitative data. Written by…

Coding interactional data for statistical analysis presents theoretical, methodological and practical challenges. Coding schemes rely on categories that are decided by their relevance to the analytical problem under investigation. We suggest that (1) endogenous and publicly displayed concerns of participants provide for the observable organisation…

Defines quantitative-discourse psychology. Illustrates its practice in five research projects, all of which examined naturalistic discourse, investigating: reading time; inference generation; construction of multiple agents (narrators, characters) in literary short stories; tutorial dialog; and dialog patterns in two-party conversations. Notes a…

Introduces this special issue which describes several approaches to semantic knowledge representations. Discusses the various quantitative procedures employed in the articles, noting that they can also serve as theoretical approaches to knowledge representation. (SR)

Describes a computational model of high-dimensional context space: the Hyperspace Analog to Language (HAL). Shows that HAL provides sufficient information to make semantic, grammatical, and abstract distinctions. Demonstrates the cognitive compatibility of the representations with human processing; and introduces a new methodology that extracts…

Offers an introduction to the theory and implementation of Latent Semantic Analysis (LSA), a theory and method for extracting and representing the contextual-usage meaning of words by statistical computations applied to a large corpus of text. Gives an overview of applications and modeling of human knowledge to which LSA has been applied. (SR)

This paper illustrates the use of corpus-based analytical techniques to address a range of issues in applied linguistics. This approach provides large databases of naturally occurring discourse, enabling empirical analyses of the actual patterns of use in a language and, when coupled with automatic computational tools, enables analyses of a scope…

Introduces the Knowledge Digraph Contribution (KDC) data-analysis methodology for quantitatively measuring the degree to which a given knowledge digraph can account for the occurrence of specific sequences of propositions in recall, summarization, talk-aloud and question-answering protocol data. Notes the applicability of this approach to the…

Illustrates use of Latent Semantic Analysis (LSA) for predicting coherence through reanalyzing two studies that manipulated coherence of texts and assessed readers' comprehension. Finds that LSA predicts effects of text coherence on comprehension. Notes that LSA can be applied as an automated method that produces coherence predictions similar to…