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  • Research Methods in the Social Sciences: An A-Z of key concepts

    Research Methods in the Social Sciences: An A-Z of key concepts by Morin, Jean-Frédéric; Olsson, Christian; Atikcan, Ece Özlem;

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      • Publisher's listprice GBP 29.99
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    14 800 Ft

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    Availability

    Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
    Not in stock at Prospero.

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    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Edition number 1
    • Publisher OUP Oxford
    • Date of Publication 29 January 2021

    • ISBN 9780198850298
    • Binding Paperback
    • No. of pages332 pages
    • Size 235x155x20 mm
    • Weight 452 g
    • Language English
    • 141

    Categories

    Short description:

    Research Methods in the Social Sciences is a comprehensive yet compact A-Z for undergraduate and postgraduate students undertaking qualitative and quantitative research across the social sciences, featuring 71 entries that cover a wide range of concepts, methods, and theories.

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    Long description:

    Research Methods in the Social Sciences is a comprehensive yet compact A-Z for undergraduate and postgraduate students undertaking research across the social sciences, featuring 71 entries that cover a wide range of concepts, methods, and theories.

    Each entry begins with an accessible introduction to a method, using real-world examples from a wide range of academic disciplines, before discussing the benefits and limitations of the approach, its current status in academic practice, and finally providing tips and advice for readers on when and how to apply the method in their own research. Wide ranging and interdisciplinary, the text covers both well-established concepts and emerging ideas, such as big data and network analysis, for qualitative and quantitative research methods.

    All entries feature extensive cross-referencing, providing ease of navigation and, pointing readers to related concepts, and to help build their overall understanding of research methods.

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    Table of Contents:

    Introduction
    Archival Research
    Automated Text Analysis
    Bayesian Inference
    Behaviourism
    Bias
    Big Data
    Boolean Algebra
    Case Selection
    Case Study
    Causation
    Comparative Analysis
    Concept Construction
    Content Analysis
    Contextual Analysis
    Counterfactual Analysis
    Covariance
    Critical Realism
    Cross-Sectional and Longitudinal Studies
    Deductive, Inductive, and Retroductive Reasoning
    Descriptive, Explanatory, and Interpretive Approaches
    Determinism, Predictions, and Probabilism
    Discourse Analysis
    Endogeneity
    Epistemology
    Ethics in Research
    Ethnography
    Experiments
    Factor Analysis
    Falsification
    Focus Groups
    Formal Modelling
    Grand Theory and Middle Range Theory
    Hermeneutics
    Hypotheses
    Interdisciplinary
    Interview Techniques
    Levels of Analysis
    Literature review
    Meta-Analysis
    Methodological Individualism and Holism
    Mixed Methods
    Multi-causality and Equifinality
    Multiple Correspondence Analysis and Geometric Data Analysis
    Nomothetic and Idiographic Methods
    Observational Methods
    Ontology
    Operationalization
    Oral History and Life History
    Paradigms and Research Programmes
    Positivism, Post-positivism, and Social Science
    Process Tracing
    Prosopography
    Qualitative Comparative Analysis
    Regression Analysis
    Replication and Reproducibility
    Research Question
    Sampling Techniques
    Scientific Realism
    Scope Conditions
    Sequence Analysis
    Social Network Analysis
    Source Criticism
    Statistical Significance
    Survey Research
    Systems Analysis
    Thematic Analysis
    Time Series
    Triangulation
    Typology
    Unit Analysis and Observation
    Variables

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