Gregory wawro (78 resultados)

Condición: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.

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paperback. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Condición: good. This is a pre-loved book that shows moderate signs of wear from previous reading. You may notice creases, edge wear, or a cracked spine, but it remains in solid, readable condition. Please note: -May include library or rental stickers, stamps, or markings. -Supplemental materials e.g., CDs, access codes, inserts are not guaranteed. -Box sets may not come with the original outer box. If it does, the box will not be in perfect condition. Your satisfaction is our top priority! If you have any questions or concerns about your order, please don't hesitate to reach out. Thank you for shopping with us and supporting small businessâ"happy reading.…

paperback. Condición: Very Good. Appears to be unread--a nice copy.

Condición: New.

Condición: New. Brand New.

Condición: As New. Unread book in perfect condition.

Condición: new.

Condición: New.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: As New. Unread book in perfect condition.

Condición: As New. Unread book in perfect condition.

Paperback. Condición: New. How to study the past using dataQuantitative Analysis for Historical Social Science advances historical research in the social sciences by bridging the divide between qualitative and quantitative analysis. Gregory Wawro and Ira Katznelson argue for an expansion of the standard quantitative methodological toolkit with a set of innovative approaches that better capture nuances missed by more commonly used statistical methods. Demonstrating how to employ such promising tools, Wawro and Katznelson address the criticisms made by prominent historians and historically oriented social scientists regarding the shortcomings of mainstream quantitative approaches for studying the past.Traditional statistical methods have been inadequate in addressing temporality, periodicity, specificity, and context-features central to good historical analysis. To address these shortcomings, Wawro and Katznelson argue for the application of alternative approaches that are particularly well-suited to incorporating these features in empirical investigations. The authors demonstrate the advantages of these techniques with replications of research that locate structural breaks and uncover temporal evolution. They develop new practices for testing claims about path dependence in time-series data, and they discuss the promise and perils of using historical approaches to enhance causal inference.Opening a dialogue among traditional qualitative scholars and applied quantitative social scientists focusing on history, Quantitative Analysis for Historical Social Science illustrates powerful ways to move historical social science research forward.…

Condición: New. pp. 208.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Hardcover. Condición: Fine. Estado de la sobrecubierta: Near Fine. Hardcover in dust jacket. No names, underlining, notes or highlighting. f6.

Condición: New. Why do some members of the U.S. House of Representatives become legislative entrepreneurs? Series: Michigan Studies in Political Analysis. Num Pages: 208 pages, illustrations. BIC Classification: 1KBB; JPH. Category: (P) Professional & Vocational. Dimension: 229 x 152 x 17. Weight in Grams: 365. . 2001. Paperback. . . . .…

Paperback. Condición: New. How to study the past using dataQuantitative Analysis for Historical Social Science advances historical research in the social sciences by bridging the divide between qualitative and quantitative analysis. Gregory Wawro and Ira Katznelson argue for an expansion of the standard quantitative methodological toolkit with a set of innovative approaches that better capture nuances missed by more commonly used statistical methods. Demonstrating how to employ such promising tools, Wawro and Katznelson address the criticisms made by prominent historians and historically oriented social scientists regarding the shortcomings of mainstream quantitative approaches for studying the past.Traditional statistical methods have been inadequate in addressing temporality, periodicity, specificity, and context-features central to good historical analysis. To address these shortcomings, Wawro and Katznelson argue for the application of alternative approaches that are particularly well-suited to incorporating these features in empirical investigations. The authors demonstrate the advantages of these techniques with replications of research that locate structural breaks and uncover temporal evolution. They develop new practices for testing claims about path dependence in time-series data, and they discuss the promise and perils of using historical approaches to enhance causal inference.Opening a dialogue among traditional qualitative scholars and applied quantitative social scientists focusing on history, Quantitative Analysis for Historical Social Science illustrates powerful ways to move historical social science research forward.…

Condición: New. 2022. Paperback. . . . . .

Paperback. Condición: Brand New. reprint edition. 208 pages. 8.75x5.75x0.75 inches. In Stock.

Condición: new.

Condición: New. In English.

Condición: New. Why do some members of the U.S. House of Representatives become legislative entrepreneurs? Series: Michigan Studies in Political Analysis. Num Pages: 208 pages, illustrations. BIC Classification: 1KBB; JPH. Category: (P) Professional & Vocational. Dimension: 229 x 152 x 17. Weight in Grams: 365. . 2001. Paperback. . . . . Books ship from the US and Ireland.…

Condición: New. pp. 208.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New. 2022. Paperback. . . . . . Books ship from the US and Ireland.

Condición: New.