{"product_id":"essentials-of-behavioral-and-social-science-statistics-isbn-9781394184101","title":"Essentials of Behavioral and Social Science Statistics","description":"\u003cp\u003e\u003cb\u003eComprehensive resource on applying statistical analyses to behavioral and social science research situations, with new examples, methods, and support for computing in Excel and SPSS\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eThe Third Edition of \u003ci\u003eEssentials of Behavioral and Social Science Statistics \u003c\/i\u003eprompts the student to develop a deep understanding of the psychometric principles involved in the research process, as well as a mastery of the particular functionality of the most common statistical tools and an ability to properly select and use them in the real world; this goal is achieved thanks to the organization of the text, the philosophical content interspersed within it, the depth of the exercises and work problems, and the supporting materials provided for the instructor and student. \u003c\/p\u003e\u003cp\u003eThe Third Edition has been thoroughly edited and streamlined to allow for students to move efficiently through the conceptual and mathematical fundamentals and on to the payoff formulas and descriptions of applications. New content includes philosophical issues associated with psychometrics and inferential statistical testing, interpretation, measurement, and the replication crisis in the social sciences. End-of-chapter exercises and work problems have been strengthened and reorganized to further improve comprehension and performance. Section reviews that draw on concepts from all preceding chapters are included to help students develop skills of statistical tool selection and application. Support for instructors includes chapter-based learning objectives, test banks, and PowerPoints. \u003c\/p\u003e\u003cp\u003e\u003ci\u003eEssentials of Behavioral and Social Science Statistics\u003c\/i\u003e includes information on: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eBasic concepts in research covering the scientific method, types of variables, controlling extraneous variables, validity issues, and causality and correlation\u003c\/li\u003e\n\u003cli\u003eDescriptive statistics including scales of measurement, measures of central tendency and variability, transformations, and standardized scores\u003c\/li\u003e\n\u003cli\u003eThe fundamentals of inferential statistics, including probability theory, sampling distributions, the central limit theorem, and the terminology of hypothesis testing\u003c\/li\u003e\n\u003cli\u003eThe logic and application of basic inferential tests including single-sample tests, independent-and dependent-samples \u003ci\u003et\u003c\/i\u003e tests, and the basics of power analysis\u003c\/li\u003e\n\u003cli\u003eThe logic and application of three common ANOVA analyses; one-way, two-way, and repeated-measures\u003c\/li\u003e\n\u003cli\u003eThe logic and application of basic bivariate data analysis tools, linear correlation and linear regression\u003c\/li\u003e\n\u003cli\u003eThe logic and application of chi-square analyses, both goodness-of-fit and tests-for-independence\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eWritten to facilitate concept mastery and enable practical application of concepts, \u003ci\u003eEssentials of Behavioral and Social Science Statistics \u003c\/i\u003eoffers a survey of basic descriptive and inferential statistical tools and concepts and is highly suitable to support a rigorous undergraduate behavioral science or social science statistics course. \u003c\/p\u003e\u003cp\u003ePreface xv\u003c\/p\u003e \u003cp\u003eAcknowledgments xix\u003c\/p\u003e \u003cp\u003eAbout the Companion Website xxi\u003c\/p\u003e \u003cp\u003eIntroduction 1\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Basic Concepts in Research 3\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 The Scientific Method 3\u003c\/p\u003e \u003cp\u003e1.2 The Goals of the Researcher 5\u003c\/p\u003e \u003cp\u003e1.3 Types of Variables 7\u003c\/p\u003e \u003cp\u003e1.4 Controlling Extraneous Variables 9\u003c\/p\u003e \u003cp\u003e1.5 Validity Issues 16\u003c\/p\u003e \u003cp\u003e1.6 Causality and Correlation 21\u003c\/p\u003e \u003cp\u003e1.7 The Organization of the Textbook 23\u003c\/p\u003e \u003cp\u003eSummary 24\u003c\/p\u003e \u003cp\u003eExercises 25\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 1 Descriptive Statistics 29\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 The Nature, Scales, and Display of Measurements 31\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 The Nature of Measurement 31\u003c\/p\u003e \u003cp\u003e2.2 Scales of Measurement 33\u003c\/p\u003e \u003cp\u003e2.3 Types of Variables and Their Features 37\u003c\/p\u003e \u003cp\u003e2.4 Using Tables to Organize Data 40\u003c\/p\u003e \u003cp\u003e2.5 Using Graphs to Display Data 45\u003c\/p\u003e \u003cp\u003e2.6 The Shape of Things to Come 52\u003c\/p\u003e \u003cp\u003eSummary 55\u003c\/p\u003e \u003cp\u003eMicrosoft\u003csup\u003e®\u003c\/sup\u003e Excel and SPSS\u003csup\u003e®\u003c\/sup\u003e 57\u003c\/p\u003e \u003cp\u003eExercises 57\u003c\/p\u003e \u003cp\u003eWork Problems 58\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Measures of Central Tendency 61\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Describing a Distribution of Scores 61\u003c\/p\u003e \u003cp\u003e3.2 Parameters and Statistics 62\u003c\/p\u003e \u003cp\u003e3.3 The Rounding Rule 62\u003c\/p\u003e \u003cp\u003e3.4 The Mean 63\u003c\/p\u003e \u003cp\u003e3.5 The Median 66\u003c\/p\u003e \u003cp\u003e3.6 The Mode 69\u003c\/p\u003e \u003cp\u003e3.7 Distribution Shape and Measures of Central Tendency 70\u003c\/p\u003e \u003cp\u003e3.8 When to Use the Mean, Median, and Mode 71\u003c\/p\u003e \u003cp\u003eSummary 74\u003c\/p\u003e \u003cp\u003eMicrosoft\u003csup\u003e®\u003c\/sup\u003e Excel and SPSS\u003csup\u003e®\u003c\/sup\u003e 75\u003c\/p\u003e \u003cp\u003eExercises 76\u003c\/p\u003e \u003cp\u003eWork Problems 76\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Measures of Variability 79\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 The Importance of Measures of Variability 79\u003c\/p\u003e \u003cp\u003e4.2 The Range 79\u003c\/p\u003e \u003cp\u003e4.3 The Mean Deviation 82\u003c\/p\u003e \u003cp\u003e4.4 The Variance 84\u003c\/p\u003e \u003cp\u003e4.5 The Standard Deviation 89\u003c\/p\u003e \u003cp\u003e4.6 Simple Transformations of the Mean and Variance 91\u003c\/p\u003e \u003cp\u003e4.7 Deciding Which Measure of Variability to Use 92\u003c\/p\u003e \u003cp\u003eSummary 95\u003c\/p\u003e \u003cp\u003eMicrosoft\u003csup\u003e®\u003c\/sup\u003e Excel and SPSS\u003csup\u003e®\u003c\/sup\u003e 96\u003c\/p\u003e \u003cp\u003eExercises 97\u003c\/p\u003e \u003cp\u003eWork Problems 98\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 The Normal Curve and Transformations 101\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Percentile Rank 101\u003c\/p\u003e \u003cp\u003e5.2 Normal Distributions 102\u003c\/p\u003e \u003cp\u003e5.3 Standard Scores (z Scores) 106\u003c\/p\u003e \u003cp\u003eSummary 116\u003c\/p\u003e \u003cp\u003eMicrosoft\u003csup\u003e®\u003c\/sup\u003e Excel and SPSS\u003csup\u003e®\u003c\/sup\u003e 117\u003c\/p\u003e \u003cp\u003eExercises 118\u003c\/p\u003e \u003cp\u003eWork Problems 118\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 2 Inferential Statistics: Theoretical Basis 121\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Basic Concepts of Probability 123\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Theoretical Support for Inferential Statistics 123\u003c\/p\u003e \u003cp\u003e6.2 The Taming of Chance 124\u003c\/p\u003e \u003cp\u003e6.3 What Is Probability? 126\u003c\/p\u003e \u003cp\u003e6.4 The Addition Rule 130\u003c\/p\u003e \u003cp\u003e6.5 The Multiplication Rule 133\u003c\/p\u003e \u003cp\u003e6.6 Conditional Probabilities 136\u003c\/p\u003e \u003cp\u003eSummary 141\u003c\/p\u003e \u003cp\u003eExercises 142\u003c\/p\u003e \u003cp\u003eWork Problems 143\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Hypothesis Testing and Sampling Distributions 147\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Inferential Statistics 147\u003c\/p\u003e \u003cp\u003e7.2 Hypothesis Testing 148\u003c\/p\u003e \u003cp\u003e7.3 Sampling Distributions 153\u003c\/p\u003e \u003cp\u003e7.4 Estimating the Features of Sampling Distributions 158\u003c\/p\u003e \u003cp\u003eSummary 160\u003c\/p\u003e \u003cp\u003eExercises 162\u003c\/p\u003e \u003cp\u003eWork Problems 163\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 3 Inferential Statistics: z Test, t Tests, and Power 165\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 The Single-Sample z and t Tests 167\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 The Research Context 167\u003c\/p\u003e \u003cp\u003e8.2 The Sampling Distribution for the Single-Sample z Test 168\u003c\/p\u003e \u003cp\u003e8.3 Type I and Type II Errors 175\u003c\/p\u003e \u003cp\u003e8.4 Is a Significant Finding “Significant?” 180\u003c\/p\u003e \u003cp\u003e8.5 The Sampling Distribution for the Single-Sample t Test 182\u003c\/p\u003e \u003cp\u003e8.6 Assumptions of the Single-Sample z and t Tests 188\u003c\/p\u003e \u003cp\u003e8.7 Interval Estimation of the Population Mean 189\u003c\/p\u003e \u003cp\u003e8.8 Formal Presentation of Findings 191\u003c\/p\u003e \u003cp\u003eSummary 191\u003c\/p\u003e \u003cp\u003eMicrosoft\u003csup\u003e®\u003c\/sup\u003e Excel and SPSS\u003csup\u003e®\u003c\/sup\u003e 192\u003c\/p\u003e \u003cp\u003eExercises 193\u003c\/p\u003e \u003cp\u003eWork Problems 194\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 The Independent- and Dependent-Samples t Tests 199\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 The Research Context for Between-Participants Designs 199\u003c\/p\u003e \u003cp\u003e9.2 The Independent-Samples t Test 201\u003c\/p\u003e \u003cp\u003e9.3 Assumptions of the Independent-Samples t Test 210\u003c\/p\u003e \u003cp\u003e9.4 Interval Estimation for Independent Samples 210\u003c\/p\u003e \u003cp\u003e9.5 The Research Context for Within-Participants Designs 211\u003c\/p\u003e \u003cp\u003e9.6 The Dependent-Samples t Test 213\u003c\/p\u003e \u003cp\u003e9.7 Assumptions of the Dependent-Samples t Test 218\u003c\/p\u003e \u003cp\u003e9.8 Interval Estimation for Dependent Samples 218\u003c\/p\u003e \u003cp\u003e9.9 Comparing the Two Tests 219\u003c\/p\u003e \u003cp\u003e9.10 The Appropriateness of Unidirectional Tests 220\u003c\/p\u003e \u003cp\u003e9.11 Formal Presentation of Findings 225\u003c\/p\u003e \u003cp\u003eSummary 225\u003c\/p\u003e \u003cp\u003eMicrosoft\u003csup\u003e®\u003c\/sup\u003e Excel and SPSS\u003csup\u003e®\u003c\/sup\u003e 226\u003c\/p\u003e \u003cp\u003eExercises 228\u003c\/p\u003e \u003cp\u003eWork Problems 230\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Power Analysis and Hypothesis Testing 239\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1 Decision-Making While Hypothesis Testing 239\u003c\/p\u003e \u003cp\u003e10.2 Why Study Power? 240\u003c\/p\u003e \u003cp\u003e10.3 The Five Factors that Influence Power 241\u003c\/p\u003e \u003cp\u003e10.4 Decision Criteria that Influence Power 243\u003c\/p\u003e \u003cp\u003e10.5 Determining Effect Size: The Achilles Heel of Power Analyses 247\u003c\/p\u003e \u003cp\u003e10.6 Determining Sample Size for a Single-Sample Test 248\u003c\/p\u003e \u003cp\u003eSummary 249\u003c\/p\u003e \u003cp\u003eExercises 250\u003c\/p\u003e \u003cp\u003eWork Problems 251\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 3 Review The z Test, t Tests, and Power Analysis 253\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 4 Inferential Statistics: Analyses of Variance 257\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 One-Way Analysis of Variance 259\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e11.1 The Research Context 259\u003c\/p\u003e \u003cp\u003e11.2 Hypotheses 261\u003c\/p\u003e \u003cp\u003e11.3 The Conceptual Basis: Sources of Variation 262\u003c\/p\u003e \u003cp\u003e11.4 The Assumptions 265\u003c\/p\u003e \u003cp\u003e11.5 Computing the F Ratio 265\u003c\/p\u003e \u003cp\u003e11.6 Testing Null Hypotheses 271\u003c\/p\u003e \u003cp\u003e11.7 The ANOVA Summary Table 274\u003c\/p\u003e \u003cp\u003e11.8 Measuring Effect Size 274\u003c\/p\u003e \u003cp\u003e11.9 Locating the Source(s) of Significance 275\u003c\/p\u003e \u003cp\u003e11.10 Formal Presentation of Findings 279\u003c\/p\u003e \u003cp\u003eSummary 279\u003c\/p\u003e \u003cp\u003eMicrosoft\u003csup\u003e®\u003c\/sup\u003e Excel and SPSS\u003csup\u003e®\u003c\/sup\u003e 280\u003c\/p\u003e \u003cp\u003eExercises 281\u003c\/p\u003e \u003cp\u003eWork Problems 283\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Two-Way Analysis of Variance 289\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e12.1 The Research Context 289\u003c\/p\u003e \u003cp\u003e12.2 The Logic of the Two-Way ANOVA 300\u003c\/p\u003e \u003cp\u003e12.3 Definitional and Computational Formulas 303\u003c\/p\u003e \u003cp\u003e12.4 The ANOVA Summary Table 306\u003c\/p\u003e \u003cp\u003e12.5 Using the F Ratios to Test Null Hypotheses 307\u003c\/p\u003e \u003cp\u003e12.6 The Assumptions 308\u003c\/p\u003e \u003cp\u003e12.7 Measuring Effect Sizes 308\u003c\/p\u003e \u003cp\u003e12.8 Multiple Comparisons 309\u003c\/p\u003e \u003cp\u003e12.9 Interpreting the Factors in a Two-Way ANOVA 314\u003c\/p\u003e \u003cp\u003e12.10 Formal Presentation of Findings 315\u003c\/p\u003e \u003cp\u003eSummary 315\u003c\/p\u003e \u003cp\u003eMicrosoft\u003csup\u003e®\u003c\/sup\u003e Excel and SPSS\u003csup\u003e®\u003c\/sup\u003e 316\u003c\/p\u003e \u003cp\u003eExercises 317\u003c\/p\u003e \u003cp\u003eWork Problems 320\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Repeated-Measures Analysis of Variance 325\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e13.1 The Research Context 325\u003c\/p\u003e \u003cp\u003e13.2 The Logic of the Repeated-Measures ANOVA 328\u003c\/p\u003e \u003cp\u003e13.3 The Formulas 331\u003c\/p\u003e \u003cp\u003e13.4 The ANOVA Summary Table 334\u003c\/p\u003e \u003cp\u003e13.5 Using the F Ratio to Test the Null Hypothesis 335\u003c\/p\u003e \u003cp\u003e13.6 Interpreting the Findings 335\u003c\/p\u003e \u003cp\u003e13.7 The Assumptions 335\u003c\/p\u003e \u003cp\u003e13.8 Measuring Effect Size 336\u003c\/p\u003e \u003cp\u003e13.9 Locating the Source(s) of Statistical Evidence 337\u003c\/p\u003e \u003cp\u003e13.10 Formal Presentation of Findings 338\u003c\/p\u003e \u003cp\u003eSummary 339\u003c\/p\u003e \u003cp\u003eMicrosoft\u003csup\u003e®\u003c\/sup\u003e Excel and SPSS\u003csup\u003e®\u003c\/sup\u003e 339\u003c\/p\u003e \u003cp\u003eExercises 340\u003c\/p\u003e \u003cp\u003eWork Problems 341\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 4 Review Analyses of Variance 347\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 5 Inferential Statistics: Bivariate Data and Chi-Square Tests 351\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Linear Correlation 353\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e14.1 The Research Context 353\u003c\/p\u003e \u003cp\u003e14.2 The Correlation Coefficient and Scatter Diagrams 356\u003c\/p\u003e \u003cp\u003e14.3 The Coefficient of Determination, r\u003csup\u003e2 \u003c\/sup\u003e362\u003c\/p\u003e \u003cp\u003e14.4 Using the Pearson r for Hypothesis Testing 365\u003c\/p\u003e \u003cp\u003e14.5 Misleading Correlation Coefficients 368\u003c\/p\u003e \u003cp\u003e14.6 Formal Presentation of Findings 372\u003c\/p\u003e \u003cp\u003eSummary 372\u003c\/p\u003e \u003cp\u003eMicrosoft\u003csup\u003e®\u003c\/sup\u003e Excel and SPSS\u003csup\u003e®\u003c\/sup\u003e 373\u003c\/p\u003e \u003cp\u003eExercises 374\u003c\/p\u003e \u003cp\u003eWork Problems 376\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 Linear Regression 381\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e15.1 The Research Context 381\u003c\/p\u003e \u003cp\u003e15.2 Overview of Regression 382\u003c\/p\u003e \u003cp\u003e15.3 Establishing the Regression Line 386\u003c\/p\u003e \u003cp\u003e15.4 Putting It All Together: A Worked Problem 396\u003c\/p\u003e \u003cp\u003e15.5 The Pitfalls of Linear Regression 398\u003c\/p\u003e \u003cp\u003e15.6 Formal Presentation of Findings 401\u003c\/p\u003e \u003cp\u003eSummary 401\u003c\/p\u003e \u003cp\u003eMicrosoft\u003csup\u003e®\u003c\/sup\u003e Excel and SPSS\u003csup\u003e®\u003c\/sup\u003e 402\u003c\/p\u003e \u003cp\u003eExercises 403\u003c\/p\u003e \u003cp\u003eWork Problems 404\u003c\/p\u003e \u003cp\u003e\u003cb\u003e16 Chi-Square Tests and Other Nonparametrics 409\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e16.1 The Research Context 409\u003c\/p\u003e \u003cp\u003e16.2 The Goodness-of-Fit Chi-Square Test 410\u003c\/p\u003e \u003cp\u003e16.3 The Chi-Square Sampling Distribution 416\u003c\/p\u003e \u003cp\u003e16.4 The Chi-Square Test for Independence 418\u003c\/p\u003e \u003cp\u003e16.5 The Chi-Square Test for a 2 × 2 Contingency Table 422\u003c\/p\u003e \u003cp\u003e16.6 A Measure of Effect Size for Chi-Square Tests 423\u003c\/p\u003e \u003cp\u003e16.7 Major Contributors to a Significant Chi-Square 424\u003c\/p\u003e \u003cp\u003e16.8 Using the Chi-Square Test with Quantitative Variables 425\u003c\/p\u003e \u003cp\u003e16.9 The Assumptions 426\u003c\/p\u003e \u003cp\u003e16.10 Formal Presentation of Findings 426\u003c\/p\u003e \u003cp\u003e16.11 Other Nonparametric Tests 426\u003c\/p\u003e \u003cp\u003eSummary 429\u003c\/p\u003e \u003cp\u003eMicrosoft® Excel and SPSS\u003csup\u003e®\u003c\/sup\u003e 430\u003c\/p\u003e \u003cp\u003eExercises 431\u003c\/p\u003e \u003cp\u003eWork Problems 432\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 5 Review Bivariate Data and Chi-Square Tests 437\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eAppendix A Statistical Tables 433\u003c\/p\u003e \u003cp\u003eAppendix B Answers to Exercises and Work Problems 461\u003c\/p\u003e \u003cp\u003eAppendix c Instructions for Microsoft® Excel and SPSS® 533\u003c\/p\u003e \u003cp\u003eReferences 565\u003c\/p\u003e \u003cp\u003eGlossary 573\u003c\/p\u003e \u003cp\u003eList of Selected Formulas 583\u003c\/p\u003e \u003cp\u003eList of Symbols 589\u003c\/p\u003e \u003cp\u003eIndex 593\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eDr. K. PAUL NESSELROADE Jr.,\u003c\/b\u003e a social psychologist, has been an educator for more than 25 years. During this time, he has taught a variety of psychology courses including numerous sections of Behavioral Statistics, Social Psychology, The History of Psychology, and The Psychology of the Holocaust. Dr. Nesselroade serves as Professor of Psychology, Psychology Department Chair, and Director of the Honors Program at Asbury University. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eTHE LATE LAURENCE G. GRIMM, PhD,\u003c\/b\u003e was a clinical psychologist and Emeritus Associate Professor, University of Illinois at Chicago.   \u003c\/p\u003e\u003cp\u003e\u003cb\u003eComprehensive resource on applying statistical analyses to behavioral and social science research situations, with new examples, methods, and support for computing in Excel and SPSS\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eThe Third Edition of \u003ci\u003eEssentials of Behavioral and Social Science Statistics \u003c\/i\u003eprompts the student to develop a deep understanding of the psychometric principles involved in the research process, as well as a mastery of the particular functionality of the most common statistical tools and an ability to properly select and use them in the real world; this goal is achieved thanks to the organization of the text, the philosophical content interspersed within it, the depth of the exercises and work problems, and the supporting materials provided for the instructor and student. \u003c\/p\u003e\u003cp\u003eThe Third Edition has been thoroughly edited and streamlined to allow for students to move efficiently through the conceptual and mathematical fundamentals and on to the payoff formulas and descriptions of applications. New content includes philosophical issues associated with psychometrics and inferential statistical testing, interpretation, measurement, and the replication crisis in the social sciences. End-of-chapter exercises and work problems have been strengthened and reorganized to further improve comprehension and performance. Section reviews that draw on concepts from all preceding chapters are included to help students develop skills of statistical tool selection and application. Support for instructors includes chapter-based learning objectives, test banks, and PowerPoints. \u003c\/p\u003e\u003cp\u003e\u003ci\u003eEssentials of Behavioral and Social Science Statistics\u003c\/i\u003e includes information on: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eBasic concepts in research covering the scientific method, types of variables, controlling extraneous variables, validity issues, and causality and correlation\u003c\/li\u003e\n\u003cli\u003eDescriptive statistics including scales of measurement, measures of central tendency and variability, transformations, and standardized scores\u003c\/li\u003e\n\u003cli\u003eThe fundamentals of inferential statistics, including probability theory, sampling distributions, the central limit theorem, and the terminology of hypothesis testing\u003c\/li\u003e\n\u003cli\u003eThe logic and application of basic inferential tests including single-sample tests, independent-and dependent-samples \u003ci\u003et\u003c\/i\u003e tests, and the basics of power analysis\u003c\/li\u003e\n\u003cli\u003eThe logic and application of three common ANOVA analyses; one-way, two-way, and repeated-measures\u003c\/li\u003e\n\u003cli\u003eThe logic and application of basic bivariate data analysis tools, linear correlation and linear regression\u003c\/li\u003e\n\u003cli\u003eThe logic and application of chi-square analyses, both goodness-of-fit and tests-for-independence\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eWritten to facilitate concept mastery and enable practical application of concepts, \u003ci\u003eEssentials of Behavioral and Social Science Statistics \u003c\/i\u003eoffers a survey of basic descriptive and inferential statistical tools and concepts and is highly suitable to support a rigorous undergraduate behavioral science or social science statistics course.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989159100645,"sku":"NP9781394184101","price":107.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781394184101.jpg?v=1761783034","url":"https:\/\/k12savings.com\/products\/essentials-of-behavioral-and-social-science-statistics-isbn-9781394184101","provider":"K12savings","version":"1.0","type":"link"}