Writing the Social Science Research Article (Paperback)

Michael Barlow

ISBN 10: 0940753367 / ISBN 13: 9780940753365

Editore: Athelstan Publications, 2026

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Paperback. Writing the Social Science Research Article: A Corpus-Based Guide to Structure and Language is an essential resource for students writing their assignments or first journal articles, for experienced researchers looking to sharpen their prose, for non-native English speakers seeking concrete guidance on disciplinary conventions, and for writing instructors seeking empirical grounding for the advice they give. The book is based on large-scale data evidence, making the hidden format of the Social Science research article visible. Drawing on a purpose-built corpus of 3,335 Social Science research articles-over 2.2 million words-Writing the Social Science Research Article replaces the guesswork of academic writing with empirical evidence. Instead of prescribing rules or offering model paragraphs to imitate, Michael Barlow opens up a collection of published work and shows what successful writers actually do, section by section, sentence by sentence.Organized around the standard IMRDC structure (Introduction, Methods, Results, Discussion, Conclusion), each chapter identifies the rhetorical moves that define a section, provides the most common language constructions used to accomplish those moves, and supplies frequency data so writers can calibrate their own choices against published norms. For example, the chapter on the Discussion shows how experienced writers weave together interpretation, comparison with prior literature, and acknowledgment of limitations using predictable hedging patterns. Beyond individual sections, the book traces patterns that span the entire paper. Dedicated chapters examine how tense shifts across sections; how citation density rises and falls to mark the paper's argumentative arc, and how hedging and boosting interact to control the strength of claims from Introduction through Conclusion. The final chapter synthesizes these threads, presenting the research article as a single macro-argument-a gap introduced, an instrument applied, evidence produced, interpretation offered, and a contribution claimed-and provides diagnostic tests writers can use to check whether their own papers hold together.The book's approach is practical and writer-centered. Every frequency, pattern, and example sentence comes directly from the corpus. Rather than offering templates to fill in, the book encourages a three-stage process: conceptualize first-deciding what you want to say-then consult the corpus evidence to find constructions that fit your rhetorical purpose, and finally compose in your own voice using structures that serve your argument. The corpus provides a repertoire of options; your study determines which options to choose. Based on a corpus of over 3,300 published articles, this book reveals what successful Social Science writers actually do. Each chapter identifies key rhetorical moves, common language constructions, along with relevant frequency data. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Dati bibliografici

• Titolo: Writing the Social Science Research Article (Paperback)
• Editore: Athelstan Publications
• Data di pubblicazione: 2026
• Lingua: Inglese
• ISBN 10: 0940753367
• ISBN 13: 9780940753365
• Rilegatura: Paperback
• Condizione: new

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Riassunto

Writing the Social Science Research Article: A Corpus-Based Guide to Structure and Language is an essential resource for students writing their assignments or first journal articles, for experienced researchers looking to sharpen their prose, for non-native English speakers seeking concrete guidance on disciplinary conventions, and for writing instructors seeking empirical grounding for the advice they give. The book is based on large-scale data evidence, making the hidden format of the Social Science research article visible. Drawing on a purpose-built corpus of 3,335 Social Science research articles-over 2.2 million words-Writing the Social Science Research Article replaces the guesswork of academic writing with empirical evidence. Instead of prescribing rules or offering model paragraphs to imitate, Michael Barlow opens up a collection of published work and shows what successful writers actually do, section by section, sentence by sentence.

Organized around the standard IMRDC structure (Introduction, Methods, Results, Discussion, Conclusion), each chapter identifies the rhetorical moves that define a section, provides the most common language constructions used to accomplish those moves, and supplies frequency data so writers can calibrate their own choices against published norms. For example, the chapter on the Discussion shows how experienced writers weave together interpretation, comparison with prior literature, and acknowledgment of limitations using predictable hedging patterns. Beyond individual sections, the book traces patterns that span the entire paper. Dedicated chapters examine how tense shifts across sections; how citation density rises and falls to mark the paper's argumentative arc, and how hedging and boosting interact to control the strength of claims from Introduction through Conclusion. The final chapter synthesizes these threads, presenting the research article as a single macro-argument-a gap introduced, an instrument applied, evidence produced, interpretation offered, and a contribution claimed-and provides diagnostic tests writers can use to check whether their own papers hold together.

The book's approach is practical and writer-centered. Every frequency, pattern, and example sentence comes directly from the corpus. Rather than offering templates to fill in, the book encourages a three-stage process: conceptualize first-deciding what you want to say-then consult the corpus evidence to find constructions that fit your rhetorical purpose, and finally compose in your own voice using structures that serve your argument. The corpus provides a repertoire of options; your study determines which options to choose.