LEADER 05493nam 2200685 450 001 9910828437303321 005 20240102112643.0 010 $a0-19-939579-9 035 $a(CKB)2550000001302374 035 $a(EBL)1692209 035 $a(SSID)ssj0001194622 035 $a(PQKBManifestationID)12417546 035 $a(PQKBTitleCode)TC0001194622 035 $a(PQKBWorkID)11154073 035 $a(PQKB)11635318 035 $a(MiAaPQ)EBC1692209 035 $a(Au-PeEL)EBL1692209 035 $a(CaPaEBR)ebr10871675 035 $a(CaONFJC)MIL611015 035 $a(OCoLC)880147857 035 $a(EXLCZ)992550000001302374 100 $a20140526h20142014 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aStraightforward statistics $eunderstanding the tools of research /$fGlenn Geher and Sara Hall 210 1$aOxford :$cOxford University Press,$d[2014] 210 4$dİ2014 215 $a1 online resource (481 pages) 300 $aDescription based upon print version of record. 311 $a0-19-975176-5 311 $a1-306-79764-0 320 $aIncludes bibliographical references and index. 327 $aCover; Straightforward Statistics; Copyright; Contents; Preface; Acknowledgements; chapter 1 Prelude: Why Do I Need to Learn Statistics?; The Nature of Findings and Factsin the Behavioral Sciences; Statistical Significance and Effect Size; Descriptive and Inferential Statistics; A Conceptual Approach to Teachingand Learning Statistics; The Nature of this Book; How to Approach this Class andWhat You Should Get Out of It; Key Terms; chapter 2 Describing a Single Variable; Variables, Values, and Scores; Types of Variables; Describing Scores for a Single Variable; Indices of Central Tendency 327 $aIndices of Variability (and the SheerBeauty of Standard Deviation!)Rounding; Describing Frequencies of Valuesfor a Single Variable; Representing Frequency Data Graphically; Describing Data for a Categorical Variable; A Real Research Example; Summary; Key Terms; chapter 3 Standardized Scores; When a Z-Score Equals 0, the Raw ScoreIt Corresponds to Must Equal the Mean; Verbal Scores for the MadupistanAptitude Measure; Quantitative Scores for theMadupistan Aptitude Measure; Every Raw Score for Any VariableCorresponds to a Particular Z-Score 327 $aComputing Z-Scores for All Studentsfor the Madupistan Verbal TestComputing Raw Scores from Z-Scores; Comparing Your GPA of 3.10 from SolidState University with Pat's GPA of 1.95from Advanced Technical University; Each Z-Score for Any VariableCorresponds to a Particular Raw Score; Converting Z-Scores to Raw Scores(The Dorm Resident Example); A Real Research Example; Summary; Key Terms; chapter 4 Correlation; Correlations Are Summaries; Representing a Correlation Graphically; Representing a Correlation Mathematically; Return to Madupistan; Correlation Does Not Imply Causation 327 $aA Real Research ExampleSummary; Key Terms; chapter 5 Statistical Prediction and Regression; Standardized Regression; Predicting Scores on Y with DifferentAmounts of Information; Beta Weight; Unstandardized Regression Equation; The Regression Line; Quantitatively Estimating the PredictivePower of Your Regression Model; Interpreting r2; A Real Research Example; Conclusion; Key Terms; chapter 6 The Basic Elements of Hypothesis Testing; The Basic Elements ofInferential Statistics; The Normal Distribution; A Real Research Example; Summary; Key Terms; chapter 7 Introduction to Hypothesis Testing 327 $aThe Basic Rationale of Hypothesis TestingUnderstanding the BroaderPopulation of Interest; Population versus Sample Parameters; The Five Basic Steps of Hypothesis Testing; A Real Research Example; Summary; Key Terms; chapter 8 Hypothesis Testing if N > 1; The Distribution of Means; Steps in Hypothesis Testing if N > 1; Confidence Intervals; Real Research Example; Summary; Key Terms; chapter 9 Statistical Power; What Is Statistical Power?; An Example of Statistical Power; Factors that Affect Statistical Power; A Real Research Example; Summary; Key Terms 327 $achapter 10 t-tests (One-Sample and Within-Groups) 330 $aStraightforward Statistics: Understanding the Tools of Research is a clear and direct introduction to statistics for the social, behavioral, and life sciences. Based on the author's extensive experience teaching undergraduate statistics, this book provides a narrative presentation of the core principles that provide the foundation for modern-day statistics. With step-by-step guidance on the nuts and bolts of computing these statistics, the book includes detailed tutorials how to use state-of-the-art software, SPSS, to compute the basic statistics employed in modern academic and applied researc 606 $aPsychometrics 606 $aPsychology$xResearch 606 $aPsychology$xMathematical models 606 $aStatistics$xStudy and teaching (Higher) 615 0$aPsychometrics. 615 0$aPsychology$xResearch. 615 0$aPsychology$xMathematical models. 615 0$aStatistics$xStudy and teaching (Higher) 676 $a150.15195 700 $aGeher$b Glenn$01660717 702 $aHall$b Sara$f1979- 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910828437303321 996 $aStraightforward statistics$94117725 997 $aUNINA