{"product_id":"introduction-to-quantitative-data-analysis-in-the-behavioral-and-social-sciences-isbn-9781119290186","title":"Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences","description":"\u003cp\u003e\u003cb\u003eGuides readers through the quantitative data analysis process including contextualizing data within a research situation, connecting data to the appropriate statistical tests, and drawing valid conclusions\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eIntroduction to Quantitative Data Analysis in the Behavioral and Social Sciences \u003c\/i\u003epresents a clear and accessible introduction to the basics of quantitative data analysis and focuses on how to use statistical tests as a key tool for analyzing research data. The book presents the entire data analysis process as a cyclical, multiphase process and addresses the processes of exploratory analysis, decision-making for performing parametric or nonparametric analysis, and practical significance determination. In addition, the author details how data analysis is used to reveal the underlying patterns and relationships between the variables and connects those trends to the data’s contextual situation.\u003c\/p\u003e \u003cp\u003eFilling the gap in quantitative data analysis literature, this book teaches the methods and thought processes behind data analysis, rather than how to perform the study itself or how to perform individual statistical tests. With a clear and conversational style, readers are provided with a better understanding of the overall structure and methodology behind performing a data analysis as well as the needed techniques to make informed, meaningful decisions during data analysis. The book features numerous data analysis examples in order to emphasize the decision and thought processes that are best followed, and self-contained sections throughout separate the statistical data analysis from the detailed discussion of the concepts allowing readers to reference a specific section of the book for immediate solutions to problems and\/or applications. \u003ci\u003eIntroduction to Quantitative Data Analysis in the Behavioral and Social Sciences \u003c\/i\u003ealso features coverage of the following:\u003c\/p\u003e \u003cp\u003e• The overall methodology and research mind-set for how to approach quantitative data analysis and how to use statistics tests as part of research data analysis\u003c\/p\u003e \u003cp\u003e• A comprehensive understanding of the data, its connection to a research situation, and the most appropriate statistical tests for the data\u003c\/p\u003e \u003cp\u003e• Numerous data analysis problems and worked-out examples to illustrate the decision and thought processes that reveal underlying patterns and trends\u003c\/p\u003e \u003cp\u003e• Detailed examples of the main concepts to aid readers in gaining the needed skills to perform a full analysis of research problems\u003c\/p\u003e \u003cp\u003e• A conversational tone to effectively introduce readers to the basics of how to perform data analysis as well as make meaningful decisions during data analysis\u003c\/p\u003e \u003cp\u003e\u003ci\u003eIntroduction to Quantitative Data Analysis in the Behavioral and Social Sciences \u003c\/i\u003eis an ideal textbook for upper-undergraduate and graduate-level research method courses in the behavioral and social sciences, statistics, and engineering. This book is also an appropriate reference for practitioners who require a review of quantitative research methods.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eMichael J. Albers, Ph.D.\u003c\/b\u003e, is Professor in the Department of English at East Carolina University. His research interests include information design with a focus on answering real-world questions, the presentation of complex information, and human–information interaction. Dr. Albers received his Ph.D. in Technical Communication and Rhetoric from Texas Tech University.\u003c\/p\u003e \u003cp\u003ePreface ix\u003c\/p\u003e \u003cp\u003eAbout the Companion Website xiii\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Introduction 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eBasis of How All Quantitative Statistical Based Research 1\u003c\/p\u003e \u003cp\u003eData Analysis, Not Statistical Analysis 3\u003c\/p\u003e \u003cp\u003eQuantitative Versus Qualitative Research 8\u003c\/p\u003e \u003cp\u003eWhat the Book Covers and What It Does Not Cover 9\u003c\/p\u003e \u003cp\u003eBook Structure 10\u003c\/p\u003e \u003cp\u003eReferences 11\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart I Data Analysis Approaches 13\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Statistics Terminology 15\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eStatistically Testing a Hypothesis 15\u003c\/p\u003e \u003cp\u003eStatistical Significance and p-Value 19\u003c\/p\u003e \u003cp\u003eConfidence Intervals 26\u003c\/p\u003e \u003cp\u003eEffect Size 27\u003c\/p\u003e \u003cp\u003eStatistical Power of a Test 31\u003c\/p\u003e \u003cp\u003ePractical Significance Versus Statistical Significance 34\u003c\/p\u003e \u003cp\u003eStatistical Independence 34\u003c\/p\u003e \u003cp\u003eDegrees of Freedom 36\u003c\/p\u003e \u003cp\u003eMeasures of Central Tendency 37\u003c\/p\u003e \u003cp\u003ePercentile and Percentile Rank 41\u003c\/p\u003e \u003cp\u003eCentral Limit Theorem 42\u003c\/p\u003e \u003cp\u003eLaw of Large Numbers 44\u003c\/p\u003e \u003cp\u003eReferences 48\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Analysis Issues and Potential Pitfalls 49\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eEffects of Variables 49\u003c\/p\u003e \u003cp\u003eOutliers in the Dataset 53\u003c\/p\u003e \u003cp\u003eRelationships Between Variables 53\u003c\/p\u003e \u003cp\u003eA Single Contradictory Example Does Not Invalidate a Statistical Relationship 60\u003c\/p\u003e \u003cp\u003eReferences 62\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Graphically Representing Data 63\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eData Distributions 63\u003c\/p\u003e \u003cp\u003eBell Curves 64\u003c\/p\u003e \u003cp\u003eSkewed Curves 68\u003c\/p\u003e \u003cp\u003eBimodal Distributions 71\u003c\/p\u003e \u003cp\u003ePoisson Distributions 75\u003c\/p\u003e \u003cp\u003eBinomial Distribution 77\u003c\/p\u003e \u003cp\u003eHistograms 79\u003c\/p\u003e \u003cp\u003eScatter Plots 80\u003c\/p\u003e \u003cp\u003eBox Plots 81\u003c\/p\u003e \u003cp\u003eRanges of Values and Error Bars 82\u003c\/p\u003e \u003cp\u003eReferences 85\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Statistical Tests 87\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eInter-Rater Reliability 87\u003c\/p\u003e \u003cp\u003eRegression Models 92\u003c\/p\u003e \u003cp\u003eParametric Tests 93\u003c\/p\u003e \u003cp\u003eNonparametric Tests 95\u003c\/p\u003e \u003cp\u003eOne-Tailed or Two-Tailed Tests 96\u003c\/p\u003e \u003cp\u003eTests Must Make Sense 99\u003c\/p\u003e \u003cp\u003eReferences 103\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II Data Analysis Examples 105\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Overview of Data Analysis Process 107\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eKnow How to Analyze It Before Starting the Study 107\u003c\/p\u003e \u003cp\u003ePerform an Exploratory Data Analysis 108\u003c\/p\u003e \u003cp\u003ePerform the Statistical Analysis 109\u003c\/p\u003e \u003cp\u003eAnalyze the Results and Draw Conclusions 110\u003c\/p\u003e \u003cp\u003eWriting Up the Study 111\u003c\/p\u003e \u003cp\u003eReferences 112\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Analysis of a Study on Reading and Lighting Levels 113\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLighting and Reading Comprehension 113\u003c\/p\u003e \u003cp\u003eKnow How the Data Will Be Analyzed Before Starting the Study 113\u003c\/p\u003e \u003cp\u003ePerform an Exploratory Data Analysis 115\u003c\/p\u003e \u003cp\u003ePerform an Inferential Statistical Analysis 122\u003c\/p\u003e \u003cp\u003eExercises 132\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Analysis of Usability of an E-Commerce Site 135\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eUsability of an E-Commerce Site 135\u003c\/p\u003e \u003cp\u003eStudy Overview 135\u003c\/p\u003e \u003cp\u003eKnow How You Will Analyze the Data Before Starting the Study 136\u003c\/p\u003e \u003cp\u003ePerform an Exploratory Data Analysis 138\u003c\/p\u003e \u003cp\u003ePerform an Inferential Statistical Analysis 147\u003c\/p\u003e \u003cp\u003eFollow-Up Tests 151\u003c\/p\u003e \u003cp\u003ePerforming Follow-Up Tests 153\u003c\/p\u003e \u003cp\u003eExercises 157\u003c\/p\u003e \u003cp\u003eReference 158\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Analysis of Essay Grading 159\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eAnalysis of Essay Grading 159\u003c\/p\u003e \u003cp\u003eExploratory Data Analysis 160\u003c\/p\u003e \u003cp\u003eInferential Statistical Data Analysis 165\u003c\/p\u003e \u003cp\u003eExercises 173\u003c\/p\u003e \u003cp\u003eReference 175\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Specific Analysis Examples 177\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eHandling Outliers in the Data 177\u003c\/p\u003e \u003cp\u003eFloor\/Ceiling Effects 182\u003c\/p\u003e \u003cp\u003eOrder Effects 183\u003c\/p\u003e \u003cp\u003eData from Stratified Sampling 184\u003c\/p\u003e \u003cp\u003eMissing Data 184\u003c\/p\u003e \u003cp\u003eNoisy Data 186\u003c\/p\u003e \u003cp\u003eTransform the Data 187\u003c\/p\u003e \u003cp\u003eReferences 188\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Other Types of Data Analysis 189\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eTime-Series Experiment 189\u003c\/p\u003e \u003cp\u003eAnalysis for Data Clusters 192\u003c\/p\u003e \u003cp\u003eLow-Probability Events 193\u003c\/p\u003e \u003cp\u003eMetadata Analysis 193\u003c\/p\u003e \u003cp\u003eReference 195\u003c\/p\u003e \u003cp\u003eA Research Terminology 197\u003c\/p\u003e \u003cp\u003eIndependent, Dependent, and Controlled Variables 197\u003c\/p\u003e \u003cp\u003eBetween Subjects and Within Subjects 199\u003c\/p\u003e \u003cp\u003eValidity and Reliability 200\u003c\/p\u003e \u003cp\u003eVariable Types 201\u003c\/p\u003e \u003cp\u003eType of Data 201\u003c\/p\u003e \u003cp\u003eIndependent Measures and Repeated Measures 203\u003c\/p\u003e \u003cp\u003eVariation in Data Collection 205\u003c\/p\u003e \u003cp\u003eProbability—What 30% Chance Means 212\u003c\/p\u003e \u003cp\u003eReferences 214\u003c\/p\u003e \u003cp\u003eIndex 215\u003c\/p\u003e \u003cp\u003e Michael J. Albers, Ph.D., is Professor in the Department of English at East Carolina University. His research interests include information design with a focus on answering real-world questions, the presentation of complex information, and human???information interaction. Dr. Albers received his Ph.D. in Technical Communication and Rhetoric from Texas Tech University.  \u003c\/p\u003e\u003cp\u003eGuides readers through the quantitative data analysis process including contextualizing data within a research situation, connecting data to the appropriate statistical tests, and drawing valid conclusions\u003c\/p\u003e  \u003cp\u003eIntroduction to Quantitative Data Analysis in the Behavioral and Social Sciences presents a clear and accessible introduction to the basics of quantitative data analysis and focuses on how to use statistical tests as a key tool for analyzing research data. The book presents the entire data analysis process as a cyclical, multiphase process and addresses the processes of exploratory analysis, decision-making for performing parametric or nonparametric analysis, and practical significance determination. In addition, the author details how data analysis is used to reveal the underlying patterns and relationships between the variables and connects those trends to the data's contextual situation.  \u003c\/p\u003e\u003cp\u003eFilling the gap in quantitative data analysis literature, this book teaches the methods and thought processes behind data analysis, rather than how to perform the study itself or how to perform individual statistical tests. With a clear and conversational style, readers are provided with a better understanding of the overall structure and methodology behind performing a data analysis as well as the needed techniques to make informed, meaningful decisions during data analysis. The book features numerous data analysis examples in order to emphasize the decision and thought processes that are best followed, and self-contained sections throughout separate the statistical data analysis from the detailed discussion of the concepts allowing readers to reference a specific section of the book for immediate solutions to problems and\/or applications. Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences also features coverage of the following:  \u003c\/p\u003e\u003cul\u003e \u003cli\u003eThe overall methodology and research mind-set for how to approach quantitative data analysis and how to use statistics tests as part of research data analysis\u003c\/li\u003e \u003cli\u003eA comprehensive understanding of the data, its connection to a research situation, and the most appropriate statistical tests for the data\u003c\/li\u003e \u003cli\u003eNumerous data analysis problems and worked-out examples to illustrate the decision and thought processes that reveal underlying patterns and trends\u003c\/li\u003e \u003cli\u003eDetailed examples of the main concepts to aid readers in gaining the needed skills to perform a full analysis of research problems\u003c\/li\u003e \u003cli\u003eA conversational tone to effectively introduce readers to the basics of how to perform data analysis as well as make meaningful decisions during data analysis\u003c\/li\u003e \u003c\/ul\u003e\u003cbr\u003e  \u003cp\u003eIntroduction to Quantitative Data Analysis in the Behavioral and Social Sciences is an ideal textbook for upper-undergraduate and graduate-level research method courses in the behavioral and social sciences, statistics, and engineering. This book is also an appropriate reference for practitioners who require a review of quantitative research methods.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989465546981,"sku":"NP9781119290186","price":100.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781119290186.jpg?v=1761784210","url":"https:\/\/k12savings.com\/products\/introduction-to-quantitative-data-analysis-in-the-behavioral-and-social-sciences-isbn-9781119290186","provider":"K12savings","version":"1.0","type":"link"}