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eBay-Artikelnr.:236183170060
Artikelmerkmale
- Artikelzustand
- ISBN
- 9780691199573
Über dieses Produkt
Product Identifiers
Publisher
Princeton University Press
ISBN-10
0691199574
ISBN-13
9780691199573
eBay Product ID (ePID)
22058364469
Product Key Features
Number of Pages
392 Pages
Language
English
Publication Name
Research Design in the Social Sciences : Declaration, Diagnosis, and Redesign
Subject
Methodology, Reference, General, Research
Publication Year
2023
Type
Textbook
Subject Area
Social Science
Format
Trade Paperback
Dimensions
Item Height
0.9 in
Item Weight
28.3 Oz
Item Length
10 in
Item Width
6.9 in
Additional Product Features
Intended Audience
College Audience
LCCN
2022-040791
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
300.72
Synopsis
A state-of-the-art approach to evaluating research design for students and scholars across the social sciences Assessing the properties of research designs before implementing them can be tricky for even the most seasoned researchers. This book provides a powerful framework--Model, Inquiry, Data Strategy, and Answer Strategy, or MIDA--for describing any empirical research design in the social sciences. MIDA enables you to characterize the key analytic features of observational and experimental designs, qualitative and quantitative designs, and descriptive and causal designs. An accompanying algorithm lets you declare designs in the MIDA framework, diagnose properties such as bias and precision, and redesign features like sampling, assignment, measurement, and estimation procedures. Research Design in the Social Sciences is an essential tool kit for the entire life of a research project, from planning and realization of design to the integration of your results into the scientific literature. A must-have resource for current and future researchers who want to learn about the properties of their designs before they implement them Includes a library of the most common designs in the social sciences Provides a complete declaration of the canonical design for each library entry, describes the circumstances under which the design can be strong or weak, and explores the consequences of the choices under the research designer's control Accompanied by online resources that can be used in conjunction with the book An ideal textbook for graduate students and advanced undergraduates, Assessing the properties of research designs before implementing them can be tricky for even the most seasoned researchers. This book provides a powerful framework-Model. Inquiry, Data Strategy, and Answer Strategy, or MIDA-for describing any empirical research design in the social sciences. MIDA enables you to characterize the key analytic features of observational and experimental desigs, qualitative and quantitative designs, and descriptive and causal design. An accompanying algorithm lets you declare designs in the MIDA framework, diagnose properties such as bias and precision, and redesign features like sampling, assignment, measurement, and estimation procedures. Research Design in the Social Sciences is an essential tool kit for the entire life of a research project, from planning and realization of design to the integration of your results into the scientific literature. A must-have resource for current and future researchers who want to learn about the properties of their designs before they implement them, Includes a library of the most common designs in the social sciences, Provides a complete declaration of the canonical design for each library entry, describes the circumstances under which the design can be strong or weak, and explores the consequences of the choices under the research designer's control, Accompanied by online resources that can be used in conjunction with the book, An ideal textbook for graduate students and advanced undergraduates, A state-of-the-art approach to evaluating research design for students and scholars across the social sciences. Assessing the properties of research designs before implementing them can be tricky for even the most seasoned researchers. This book provides a powerful framework--Model, Inquiry, Data Strategy, and Answer Strategy, or MIDA--for describing any empirical research design in the social sciences. MIDA enables you to characterize the key analytic features of observational and experimental designs, qualitative and quantitative designs, and descriptive and causal designs. An accompanying algorithm lets you declare designs in the MIDA framework, diagnose properties such as bias and precision, and redesign features like sampling, assignment, measurement, and estimation procedures. Research Design in the Social Sciences is an essential tool kit for the entire life of a research project, from planning and realization of design to the integration of your results into the scientific literature. A must-have resource for current and future researchers who want to learn about the properties of their designs before they implement them Includes a library of the most common designs in the social sciences Provides a complete declaration of the canonical design for each library entry, describes the circumstances under which the design can be strong or weak, and explores the consequences of the choices under the research designer's control Accompanied by online resources that can be used in conjunction with the book An ideal textbook for graduate students and advanced undergraduates
LC Classification Number
H62.B5745 2023
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