Research methods and data analysis for business decisions : a primer using SPSS / / James E. Sallis [and three others]

• Autore: Sallis James <1959->
• Pubblicazione: Cham, Switzerland : , : Springer, , [2021]; ©2021
• Descrizione fisica: 1 online resource (263 pages)
• Disciplina: 650.072
• Soggetto topico: Business - Decision making - Research; Business - Data processing - Research; Negocis; Presa de decisions; Processament de dades
• Soggetto genere / forma: Llibres electrònics
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Intro -- Preface -- Contents -- Part I: Designing the Study -- 1: Research Methods and Philosophy of Science -- 1.1 Introduction -- 1.2 Two Alternatives: Constructivism Vs. Positivism -- 1.3 Falsificationism, Theories, and Hypotheses -- 1.4 Decision Processes -- 1.4.1 Models of Decision-Making -- 1.4.2 Models of Politics and Power -- 1.4.3 Models of Ill-Defined Preferences and Fluid Participation -- 1.5 Summary -- References -- 2: The Research Process and Problem Formulation -- 2.1 Introduction -- 2.2 Problems, Opportunities, and Symptoms -- 2.3 The Research Purpose and Research Question(s) -- Example 2.1 -- Example 2.2 -- 2.4 The Research Process -- 2.5 Summary -- Reference -- 3: Research Design -- 3.1 Introduction -- 3.2 Exploratory Design -- 3.2.1 Focus Groups -- 3.2.2 Individual In-Depth Interviews -- 3.2.3 Other Techniques -- 3.3 Descriptive Design -- 3.3.1 Survey Research with Questionnaires -- 3.3.2 Observation and Diaries -- 3.4 Causal Design -- 3.4.1 True Experiments (Lab or Field) -- 3.4.2 Quasi-Experiments -- 3.4.3 Lab Experiments -- 3.4.4 Field Experiments -- 3.4.5 Internal and External Validity in Experiments -- 3.5 Choice of Research Design -- 3.5.1 Using Theory -- 3.6 Validity and Reliability -- 3.7 Summary -- Reference -- Part II: Data Collection -- 4: Secondary Data and Observation -- 4.1 Introduction -- 4.2 Main Types of Secondary Data -- 4.3 Internal and External Sources -- 4.3.1 Big Data -- 4.3.2 Public Sources -- 4.3.3 Scholarly Literature -- 4.3.4 Standardized Research Services -- What Do We Mean by Standardization? -- Standardized Panel Data -- 4.4 Sources of Error in Secondary Data -- 4.5 Collecting Data by Observation -- 4.5.1 Types of Observation -- 4.5.2 Measuring Emotions by Observation -- 4.5.3 Using the Observation Method -- 4.6 Summary -- Reference -- 5: Qualitative Methods -- 5.1 Introduction -- 5.2 Focus Groups. ; 5.3 Individual In-Depth Interviews -- 5.4 Projective Techniques -- 5.5 Content Analysis of Social Media -- 5.6 Problem Formulation and Qualitative Data Analysis -- Example 5.1 -- 5.7 Summary -- References -- 6: Questionnaire Surveys -- 6.1 Introduction -- 6.2 Constructs and Operationalization -- 6.3 Validity -- 6.3.1 Content Validity -- 6.3.2 Construct Validity -- 6.3.3 Face Validity -- 6.3.4 Statistical Conclusion Validity -- 6.4 Reliability -- 6.5 Measurement Scales -- 6.5.1 Parametric Versus Nonparametric Methods -- 6.6 Attitude and Perception Measurement -- 6.7 Scale Values -- 6.8 Question Formulation and Order -- 6.8.1 Question Design -- 6.8.2 Pre-test -- 6.9 Collecting the Data -- 6.9.1 Personal Interviews -- 6.9.2 Online Solutions -- 6.9.3 Telephone Interviews -- 6.9.4 Postal Surveys -- 6.10 Summary -- References -- 7: Sampling -- 7.1 Introduction -- 7.2 Define the Population and Sampling Frame -- 7.2.1 Sampling Frame -- 7.3 Sampling Method -- 7.3.1 Probability Samples -- 7.3.2 Non-probability Samples -- 7.4 Sample Size -- 7.5 Error Sources -- 7.5.1 Missing Observations -- 7.6 Summary -- References -- Part III: Quantitative Data Analysis -- 8: Simple Analysis Techniques -- 8.1 Introduction -- 8.2 Using Software -- 8.3 Simple Analysis Techniques -- 8.4 Cleaning the Data -- 8.5 Analytical Techniques for One Variable -- Example 8.1 Descriptive Statistics -- 8.6 Analytical Techniques for Relationships between Variables -- Example 8.2 -- 8.7 Summary -- References -- 9: Hypothesis Testing -- 9.1 Introduction -- 9.2 Hypothesis Tests and Error -- 9.3 The T-test -- Example 9.1 -- Example 9.2 -- Example 9.3 -- 9.4 Analysis of Variance: One-way ANOVA -- 9.5 Chi-square Test (Chi2) -- 9.6 Testing Correlation Coefficients -- 9.7 Summary -- 10: Regression Analysis -- 10.1 Introduction -- 10.2 Simple Regression Analysis. ; 10.3 Estimating Regression Parameters -- Example 10.1 -- Example 10.2 -- 10.4 The T-test -- Example 10.3 -- 10.5 Multiple Regression Analysis -- 10.6 Explained Variance -- 10.7 The ANOVA Table and F-test -- 10.8 Too Many or Too Few Independent Variables -- 10.9 Regression with Dummy Variables -- 10.10 Dummy Regression: An Alternative Analysis of Covariance ANCOVA -- 10.11 The Classic Assumptions of Multiple Regression -- 10.12 Summary -- References -- 11: Cluster Analysis and Segmentation -- 11.1 Introduction -- 11.2 Similarities Between Groups in the Data -- 11.3 Two Branches of Cluster Methods -- 11.4 Hierarchical Clustering -- 11.5 Non-hierarchical Clustering (K-Means) -- 11.6 Interpretation and Further Use of the Clusters -- 11.7 Summary -- 12: Factor Analysis -- 12.1 Introduction -- 12.2 Exploratory Factor Analysis -- 12.3 Principal Component Analysis -- 12.4 Running Exploratory Factor Analysis -- 12.5 Unidimensionality -- 12.6 Confirmatory Factor Analysis -- 12.7 Summary -- References -- Part IV: Reporting -- 13: Reporting Findings -- 13.1 Introduction -- 13.2 The Report -- 13.2.1 Writing Style -- 13.3 The Structure of a Research Report -- 13.3.1 Referencing -- 13.4 Implementation -- 13.5 Advice for Students -- 13.6 Summary -- Reference -- Index.
• Titolo autorizzato: Research methods and data analysis for business decisions
• ISBN: 3-030-84421-8
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996466410103316
• Lo trovi qui: Univ. di Salerno
• Serie: Classroom Companion: Business