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Titlebook: Research Methods and Data Analysis for Business Decisions; A Primer Using SPSS James E. Sallis,Geir Gripsrud,Ragnhild Silkoset Textbook 202

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發(fā)表于 2025-3-21 16:22:48 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Research Methods and Data Analysis for Business Decisions
副標(biāo)題A Primer Using SPSS
編輯James E. Sallis,Geir Gripsrud,Ragnhild Silkoset
視頻videohttp://file.papertrans.cn/828/827782/827782.mp4
概述Presents research methods and data analysis tools in non-technical language, using numerous step-by-step examples.Uses QDA Miner Lite for qualitative and IBM SPSS Statistics for quantitative data anal
叢書(shū)名稱Classroom Companion: Business
圖書(shū)封面Titlebook: Research Methods and Data Analysis for Business Decisions; A Primer Using SPSS James E. Sallis,Geir Gripsrud,Ragnhild Silkoset Textbook 202
描述.This introductory textbook presents research methods and data analysis tools in non-technical language. It explains the research process and the basics of qualitative and quantitative data analysis, including procedures and methods, analysis, interpretation, and applications using hands-on data examples in QDA Miner Lite and IBM SPSS Statistics software. The book is divided into four parts that address study and research design; data collection, qualitative methods and surveys; statistical methods, including hypothesis testing, regression, cluster and factor analysis; and reporting. The intended audience is business and social science students learning scientific research methods, however, given its business context, the book will be equally useful for decision-makers in businesses and organizations..
出版日期Textbook 2021
關(guān)鍵詞research methodology; data analysis; decision making in business; quantitative data analysis; qualitativ
版次1
doihttps://doi.org/10.1007/978-3-030-84421-9
isbn_softcover978-3-030-84423-3
isbn_ebook978-3-030-84421-9Series ISSN 2662-2866 Series E-ISSN 2662-2874
issn_series 2662-2866
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive licence to Springer Nature Switzerl
The information of publication is updating

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Research Methods and Philosophy of Sciencerawling, Data Mining, Dashboards, Blog Mining, Neuromarketing—never before have data analytics been subjected to such intense creativity and innovation. Never before has it been more important to return to the roots, to the scientific foundation of how to interpret, understand, and rely on data anal
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Secondary Data and Observationpose. In contrast, . is collected to address specific research questions. Chapters . and . describe primary data collection. . is a structured way of collecting data about someone or something without direct communication. Observation may be collected as primary or secondary data. However, with the
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Qualitative Methodsw it works. With quantitative methods, the focus is on measuring how much exists. Though the methods may seem incompatible. In fact, they are complementary and can be conceptualized as the two anchors on a scale. It is the research question that determines which method should be used in a given cont
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Samplingw to get enough of the right respondents to thoroughly and conscientiously answer your survey. Whether doing qualitative or quantitative research, you need to decide where to get data. The procedure is important for quantitative research because you will run statistical analyses and may want to gene
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Simple Analysis Techniquesof clicks, which pages you came from, and which pages you go to. Clickstream analyses look at correlations and patterns in online behavior. Take note, clickstreams do not say anything about the motives behind the behavior or who the person is. Nevertheless, the data is so extensive that the patterns
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Regression AnalysisThen, based on this data, with great accuracy they can predict your behaviors and choices. What car you will purchase, where you will go on holiday, what you will buy your mother for her birthday. They can do this because most human behaviors are rational in so far as they follow consistent patterns
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