{"product_id":"quantitative-and-statistical-research-methods-isbn-9780470631829","title":"Quantitative and Statistical Research Methods","description":"\u003cp\u003eQuantitative and Statistical Research Methods\u003c\/p\u003e \u003cp\u003eThis user-friendly textbook teaches students to understand and apply procedural steps in completing quantitative studies. It explains statistics while progressing through the steps of the hypothesis-testing process from hypothesis to results. The research problems used in the book reflect statistical applications related to interesting and important topics. In addition, the book provides a Research Analysis and Interpretation Guide to help students analyze research articles.\u003c\/p\u003e \u003cp\u003eDesigned as a hands-on resource, each chapter covers a single research problem and offers directions for implementing the research method from start to finish. Readers will learn how to:\u003c\/p\u003e \u003cul\u003e \u003cli\u003ePinpoint research questions and hypotheses\u003c\/li\u003e \u003cli\u003eIdentify, classify, and operationally define the study variables\u003c\/li\u003e \u003cli\u003eChoose appropriate research designs\u003c\/li\u003e \u003cli\u003eConduct power analysis\u003c\/li\u003e \u003cli\u003eSelect an appropriate statistic for the problem\u003c\/li\u003e \u003cli\u003eUse a data set\u003c\/li\u003e \u003cli\u003eConduct data screening and analyses using SPSS\u003c\/li\u003e \u003cli\u003eInterpret the statistics\u003c\/li\u003e \u003cli\u003eWrite the results related to the problem\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eQuantitative and Statistical Research Methods allows students to immediately, independently, and successfully apply quantitative methods to their own research projects.\u003c\/p\u003e \u003cp\u003eTables and Figures ix\u003c\/p\u003e \u003cp\u003ePreface xvii\u003c\/p\u003e \u003cp\u003eThe Authors xix\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 Introduction and Overview 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eReview of Foundational Research Concepts 3\u003c\/p\u003e \u003cp\u003eReview of Foundational Statistical Information 6\u003c\/p\u003e \u003cp\u003eThe Normal Distribution 14\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 Logical Steps of Conducting Quantitative Research: Hypothesis-Testing Process 29\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eHypothesis-Testing Process 30\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 Maximizing Hypothesis Decisions Using Power Analysis 39\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eBalance between Avoiding Type I and Type II Errors 41\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 Research and Statistical Designs 53\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eFormulating Experimental Conditions 54\u003c\/p\u003e \u003cp\u003eReducing the Imprecision in Measurement 55\u003c\/p\u003e \u003cp\u003eControlling Extraneous Experimental Influences 57\u003c\/p\u003e \u003cp\u003eInternal Validity and Experimental Designs 59\u003c\/p\u003e \u003cp\u003eChoosing a Statistic to Use for an Analysis 67\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 Introduction to IBM SPSS 20 77\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe IBM SPSS 20 Data View Screen 80\u003c\/p\u003e \u003cp\u003eNaming and Defining Variables in Variable View 80\u003c\/p\u003e \u003cp\u003eEntering Data 86\u003c\/p\u003e \u003cp\u003eExamples of Basic Analyses 87\u003c\/p\u003e \u003cp\u003eExamples of Modifying Data Procedures 96\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 Diagnosing Study Data for Inaccuracies and Assumptions 99\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eResearch Example 100\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7 Randomized Design Comparing Two Treatments and a Control Using a One-Way Analysis of Variance 129\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eResearch Problem 130\u003c\/p\u003e \u003cp\u003eStudy Variables 131\u003c\/p\u003e \u003cp\u003eResearch Design 133\u003c\/p\u003e \u003cp\u003eStating the Omnibus (Comprehensive) Research Question 135\u003c\/p\u003e \u003cp\u003eHypothesis Testing Step 1: Establish the Alternative (Research) Hypothesis (Ha) 136\u003c\/p\u003e \u003cp\u003eHypothesis Testing Step 2: Establish the Null Hypothesis (H0) 137\u003c\/p\u003e \u003cp\u003eHypothesis Testing Step 3: Decide on a Risk Level (Alpha) of Rejecting the True H0 Considering Type I and II Errors and Power 138\u003c\/p\u003e \u003cp\u003eHypothesis Testing Step 4: Choose Appropriate Statistic and Its Sampling Distribution to Test the H0 Assuming H0 Is True 143\u003c\/p\u003e \u003cp\u003eHypothesis Testing Step 5: Select Sample, Collect Data, Screen Data, Compute Statistic, and Determine Probability Estimates 144\u003c\/p\u003e \u003cp\u003eHypothesis Testing Step 6: Make Decision Regarding the H0 and Interpret Post Hoc Effect Sizes and Confidence Intervals 162\u003c\/p\u003e \u003cp\u003eFormula Calculations of the Study Results 166\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8 Repeated-Treatment Design Using a Repeated-Measures Analysis of Variance 183\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eResearch Problem 184\u003c\/p\u003e \u003cp\u003eStudy Variables 185\u003c\/p\u003e \u003cp\u003eResearch Design 186\u003c\/p\u003e \u003cp\u003eStating the Omnibus (Comprehensive) Research Question 189\u003c\/p\u003e \u003cp\u003eHypothesis Testing Step 1: Establish the Alternative (Research) Hypothesis (Ha) 190\u003c\/p\u003e \u003cp\u003eHypothesis Testing Step 2: Establish the Null Hypothesis (H0) 191\u003c\/p\u003e \u003cp\u003eHypothesis Testing Step 3: Decide on a Risk Level (Alpha) of Rejecting the True H0 Considering Type I and II Errors and Power 192\u003c\/p\u003e \u003cp\u003eHypothesis Testing Step 4: Choose Appropriate Statistic and Its Sampling Distribution to Test the H0 Assuming H0 Is True 195\u003c\/p\u003e \u003cp\u003eHypothesis Testing Step 5: Select Sample, Collect Data, Screen Data, Compute Statistic, and Determine Probability Estimates 196\u003c\/p\u003e \u003cp\u003eHypothesis Testing Step 6: Make Decision Regarding the H0 and Interpret Post Hoc Effect Sizes and Confidence Intervals 216\u003c\/p\u003e \u003cp\u003eFormula Calculations of the Study Results 218\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9 Randomized Factorial Experimental Design Using a Factorial ANOVA 231\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eResearch Problem 232\u003c\/p\u003e \u003cp\u003eStudy Variables 232\u003c\/p\u003e \u003cp\u003eResearch Design 233\u003c\/p\u003e \u003cp\u003eStating the Omnibus (Comprehensive) Research Questions 237\u003c\/p\u003e \u003cp\u003eHypothesis Testing Step 1: Establish the Alternative (Research) Hypothesis (Ha) 238\u003c\/p\u003e \u003cp\u003eHypothesis Testing Step 2: Establish the Null Hypothesis (H0) 240\u003c\/p\u003e \u003cp\u003eHypothesis Testing Step 3: Decide on a Risk Level (Alpha) of Rejecting the True H0 Considering Type I and II Errors and Power 241\u003c\/p\u003e \u003cp\u003eHypothesis Testing Step 4: Choose Appropriate Statistic and Its Sampling Distribution to Test the H0\u003c\/p\u003e \u003cp\u003eAssuming H0 Is True 247\u003c\/p\u003e \u003cp\u003eHypothesis Testing Step 5: Select Sample, Collect Data, Screen Data, Compute Statistic, and Determine Probability Estimates 248\u003c\/p\u003e \u003cp\u003eHypothesis Testing Step 6: Make Decision Regarding the H0 and Interpret Post Hoc Effect Sizes and Confidence Intervals 271\u003c\/p\u003e \u003cp\u003eFormula Calculations of the Study Results 278\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 10 Analysis of Covariance 297\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eResearch Problem 298\u003c\/p\u003e \u003cp\u003eStudy Variables 299\u003c\/p\u003e \u003cp\u003eResearch Design 300\u003c\/p\u003e \u003cp\u003eStating the Omnibus (Comprehensive) Research Question 301\u003c\/p\u003e \u003cp\u003eHypothesis Testing Step 1: Establish the Alternative (Research) Hypothesis (Ha) 301\u003c\/p\u003e \u003cp\u003eHypothesis Testing Step 2: Establish the Null Hypothesis (H0) 302\u003c\/p\u003e \u003cp\u003eHypothesis Testing Step 3: Decide on a Risk Level (Alpha) of Rejecting the True H0 Considering Type I and II Errors and Power 302\u003c\/p\u003e \u003cp\u003eHypothesis Testing Step 4: Choose Appropriate Statistic and Its Sampling Distribution to Test the H0 Assuming H0 is True 306\u003c\/p\u003e \u003cp\u003eHypothesis Testing Step 5: Select Sample, Collect Data, Screen Data, Compute Statistic, and Determine Probability Estimates 307\u003c\/p\u003e \u003cp\u003eHypothesis Testing Step 6: Make Decision Regarding the H0 and Interpret Post Hoc Effect Sizes and Confidence Intervals 324\u003c\/p\u003e \u003cp\u003eFormula ANCOVA Calculations of the Study Results 327 ANCOVA Study Results 339\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 11 Randomized Control Group and Repeated-Treatment Designs and Nonparametics 345\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eResearch Problem 346\u003c\/p\u003e \u003cp\u003eStudy Variables 346\u003c\/p\u003e \u003cp\u003eResearch Design 347\u003c\/p\u003e \u003cp\u003eStating the Omnibus (Comprehensive) Research Question 349\u003c\/p\u003e \u003cp\u003eHypothesis Testing Step 1: Establish the Alternative (Research) Hypothesis (Ha) 349\u003c\/p\u003e \u003cp\u003eHypothesis Testing Step 2: Establish the Null Hypothesis (H0) 350\u003c\/p\u003e \u003cp\u003eHypothesis Testing Step 3: Decide on a Risk Level (Alpha) of Rejecting the True H0 Considering Type I and II Errors and Power 350\u003c\/p\u003e \u003cp\u003eHypothesis Testing Step 4: Choose Appropriate Statistic and Its Sampling Distribution to Test the H0 Assuming H0 is True 354\u003c\/p\u003e \u003cp\u003eHypothesis Testing Step 5: Select Sample, Collect Data, Screen Data, Compute Statistic, and Determine Probability Estimates 355\u003c\/p\u003e \u003cp\u003eHypothesis Testing Step 6: Make Decision Regarding the H0 and Interpret Post Hoc Effect Sizes 370 Formula Calculations 376\u003c\/p\u003e \u003cp\u003eNonparametric Research Problem Two: Friedman’s Rank Test for Correlated Samples and Wilcoxon’s Matched-Pairs Signed-Ranks Test 382\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 12 Bivariate and Multivariate Correlation Methods Using Multiple Regression Analysis 401\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eResearch Problem 402\u003c\/p\u003e \u003cp\u003eStudy Variables 402\u003c\/p\u003e \u003cp\u003eResearch Method 403\u003c\/p\u003e \u003cp\u003eStating the Omnibus (Comprehensive) Research Question 405\u003c\/p\u003e \u003cp\u003eHypothesis Testing Step 1: Establish the Alternative (Research) Hypothesis (Ha) 405\u003c\/p\u003e \u003cp\u003eHypothesis Testing Step 2: Establish the Null Hypothesis (H0) 406\u003c\/p\u003e \u003cp\u003eHypothesis Testing Step 3: Decide on a Risk Level (Alpha) of Rejecting the True H0 Considering Type I and II Errors and Power 406\u003c\/p\u003e \u003cp\u003eHypothesis Testing Step 4: Choose Appropriate Statistic and Its Sampling Distribution to Test the H0 Assuming H0 is True 407\u003c\/p\u003e \u003cp\u003eHypothesis Testing Step 5: Select Sample, Collect Data, Screen Data, Compute Statistic, and Determine Probability Estimates 407 Hand Calculations of Statistics 423\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 13 Understanding Quantitative Literature and Research 439 \u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eInterpretation of a Quantitative Research Article 440\u003c\/p\u003e \u003cp\u003eReferences 461\u003c\/p\u003e \u003cp\u003eIndex 465\u003c\/p\u003e  \u003cp\u003eWilliam E. Martin, EdD, is a professor and past chair of educational psychology in the College of Education, Northern Arizona University. He also served as senior scholar in the university's Faculty Research Center. His research areas are psychometric assessment, counselor development, psychosocial adjustment, and person-environment-based prevention and intervention methods.\u003c\/p\u003e \u003cp\u003eKrista D. Bridgmon, PhD, is an assistant professor of psychology at Colorado State University-Pueblo. Her research areas are doctoral student attrition, stress and coping, school counseling, and sport psychology.\u003c\/p\u003e  \u003cp\u003eQuantitative and Statistical Research Methods\u003c\/p\u003e \u003cp\u003eThis user-friendly textbook teaches students to understand and apply procedural steps in completing quantitative studies. It explains statistics while progressing through the steps of the hypothesis-testing process from hypothesis to results. The research problems used in the book reflect statistical applications related to interesting and important topics. In addition, the book provides a Research Analysis and Interpretation Guide to help students analyze research articles.\u003c\/p\u003e \u003cp\u003eDesigned as a hands-on resource, each chapter covers a single research problem and offers directions for implementing the research method from start to finish. Readers will learn how to:\u003c\/p\u003e \u003cul\u003e \u003cli\u003ePinpoint research questions and hypotheses\u003c\/li\u003e \u003cli\u003eIdentify, classify, and operationally define the study variables\u003c\/li\u003e \u003cli\u003eChoose appropriate research designs\u003c\/li\u003e \u003cli\u003eConduct power analysis\u003c\/li\u003e \u003cli\u003eSelect an appropriate statistic for the problem\u003c\/li\u003e \u003cli\u003eUse a data set\u003c\/li\u003e \u003cli\u003eConduct data screening and analyses using SPSS\u003c\/li\u003e \u003cli\u003eInterpret the statistics\u003c\/li\u003e \u003cli\u003eWrite the results related to the problem\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eQuantitative and Statistical Research Methods allows students to immediately, independently, and successfully apply quantitative methods to their own research projects.\u003c\/p\u003e","brand":"Jossey-Bass","offers":[{"title":"Default Title","offer_id":47989895430373,"sku":"NP9780470631829","price":82.5,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780470631829.jpg?v=1761785828","url":"https:\/\/k12savings.com\/es\/products\/quantitative-and-statistical-research-methods-isbn-9780470631829","provider":"K12savings","version":"1.0","type":"link"}