Data analysis for business, economics, and policy / Gábor Békés, Central European University, Vienna and Budapest, Gábor Kézdi, University of Michigan, Ann Arbor.
Material type:
- text
- unmediated
- volume
- 9781108483018
- 300.72/3 23
- H62.B45 2021
- BUS021000 | BUS021000
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KWUST-Main Library General Stacks | H62.B45 2021 (Browse shelf(Opens below)) | C.3 | Available | 2023-0978 | |
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KWUST-Main Library General Stacks | H62.B45 2021 (Browse shelf(Opens below)) | C.1 | Available | 2023-0757 | |
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KWUST-Main Library General Stacks | H62.B45 2021 (Browse shelf(Opens below)) | C.2 | Available | 2023-0758 |
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H62.B362 2018 Integrating analyses for mixed methods research / | H62.B362 2018 Integrating analyses for mixed methods research / | H62.B45 2021 Data analysis for business, economics, and policy / | H62.B45 2021 Data analysis for business, economics, and policy / | H62.B45 2021 Data analysis for business, economics, and policy / | H 62 .B787 2021 Bryman's social research methods / | H 62 .B787 2021 Bryman's social research methods / |
Includes bibliographical references and index.
"Data analysis is a process. It starts with formulating a question and collecting appropriate data, or assessing whether the available data can help answer the question. Then comes cleaning and organizing the data, tedious but essential tasks that affect the results of the analysis as much as any other step in the process. Exploratory data analysis gives context to the eventual results and helps deciding the details of the analytical method to be applied. The main analysis consists of choosing and implementing the method to answer the question, with potential robustness checks. Along the way, correct interpretation and effective presentation of the results are crucial. Carefully crafted data visualization help summarize our findings and convey key messages. The final task is to answer the original question, with potential qualifications and directions for future inquiries"-- Provided by publisher.
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