LEADER 05679oam 2200733 450 001 9910453698403321 005 20210113180205.0 010 $a1-118-65214-2 010 $a1-118-65224-X 035 $a(CKB)2550000001165645 035 $a(EBL)1563061 035 $a(OCoLC)864916826 035 $a(SSID)ssj0001059680 035 $a(PQKBManifestationID)11634075 035 $a(PQKBTitleCode)TC0001059680 035 $a(PQKBWorkID)11084621 035 $a(PQKB)11214170 035 $a(DLC) 2013030468 035 $a(JP-MeL)3000065444 035 $a(MiAaPQ)EBC1563061 035 $a(EXLCZ)992550000001165645 100 $a20130729h20132014 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aExplaining psychological statistics /$fBarry H. Cohen, New York University 205 $a4th ed. 210 1$aHoboken, NJ :$cJohn Wiley & Sons,$d2013. 210 4$dİ2014 215 $a1 online resource (850 p.) 225 0 $aCoursesmart 300 $aDescription based upon print version of record. 311 $a1-118-43660-1 311 $a1-306-15662-9 320 $aIncludes bibliographical references and index. 327 $aCover; Title Page; Copyright; Contents; Key Formulas; Key Formulas; Preface to the Fourth Edition; Acknowledgments; Part One Descriptive Statistics; Chapter 1 Introduction to Psychological Statistics; A. Conceptual Foundation; What Is (Are) Statistics?; Statistics and Research; Variables and Constants; Scales of Measurement; Parametric Versus Nonparametric Statistics; Likert Scales and the Measurement Controversy; Continuous Versus Discrete Variables; Scales Versus Variables Versus Underlying Constructs; Independent Versus Dependent Variables; Experimental Versus Observational Research 327 $aPopulations Versus SamplesStatistical Formulas; Summary; Exercises; B. Basic Statistical Procedures; Variables With Subscripts; The Summation Sign; Properties of the Summation Sign; Rounding Off Numbers; Summary; Exercises; C. Analysis by SPSS; Ihno's Data; Variable View; Data Coding; Missing Values; Computing New Variables; Reading Excel Files Into SPSS; Exercises; Chapter 2 Frequency Tables, Graphs, and Distributions; A. Conceptual Foundation; Frequency Distributions; The Cumulative Frequency Distribution; The Relative Frequency and Cumulative Relative Frequency Distributions 327 $aThe Cumulative Percentage DistributionPercentiles; Graphs; Real Versus Theoretical Distributions; Summary; Exercises; B. Basic Statistical Procedures; Grouped Frequency Distributions; Apparent Versus Real Limits; Constructing Class Intervals; Choosing the Class Interval Width; Choosing the Limits of the Lowest Interval; Relative and Cumulative Frequency Distributions; Cumulative Percentage Distribution; Estimating Percentiles and Percentile Ranks by Linear Interpolation; Graphing a Grouped Frequency Distribution; Guidelines for Drawing Graphs of Frequency Distributions; Summary; Exercises 327 $aC. Analysis by SPSSCreating Frequency Distributions; Percentile Ranks and Missing Values; Graphing Your Distribution; Obtaining Percentiles; The Split File Function; Stem-and-Leaf Plots; Exercises; Chapter 3 Measures of Central Tendency and Variability; A. Conceptual Foundation; Measures of Central Tendency; Measures of Variability; Skewed Distributions; Summary; Exercises; B. Basic Statistical Procedures; Formulas for the Mean; Computational Formulas for the Variance and Standard Deviation; Obtaining the Standard Deviation Directly From Your Calculator; Properties of the Mean 327 $aProperties of the Standard DeviationMeasuring Skewness; Measuring Kurtosis; Summary; Exercises; C. Analysis by SPSS; Summary Statistics; Using Explore to Obtain Additional Statistics; Boxplots; Selecting Cases; Exercises; Key Formulas; Chapter 4 Standardized Scores and the Normal Distribution; A. Conceptual Foundation; z Scores; Finding a Raw Score From a z Score; Sets of z Scores; Properties of z Scores; SAT, T, and IQ Scores; The Normal Distribution; Introducing Probability: Smooth Distributions Versus Discrete Events; Real Distributions Versus the Normal Distribution 327 $az Scores as a Research Tool 330 $a"Now in its 4th edition, this popular and comprehensive graduate-level statistics text offers students an easy to grasp and non-intimidating approach to statistics for the non-mathematician. The text provides practical coverage of SPSS in every chapter, including screen shots, procedures, exercises, and direction on how to interpret SPSS output. The use of common data sets throughout the book aid in student comprehension. Now with a new chapter showing students how to apply the right test in the right way to come out with the most accurate and true result, the new edition continues to offer students a lively and engaging introduction to the field"--$cProvided by publisher. 606 $aPsychometrics 606 $aPsychology$xMathematical models 606 $aStatistics$xStudy and teaching (Higher) 606 $aPSYCHOLOGY / Statistics$2bisacsh 608 $aElectronic books. 615 0$aPsychometrics. 615 0$aPsychology$xMathematical models. 615 0$aStatistics$xStudy and teaching (Higher) 615 7$aPSYCHOLOGY / Statistics. 676 $a150.1 676 $a150/.1/5195 686 $aPSY032000$2bisacsh 700 $aCohen$b Barry H.$f1949-$0515094 801 0$bDLC 801 1$bDLC 801 2$bDLC 906 $aBOOK 912 $a9910453698403321 996 $aExplaining psychological statistics$91994623 997 $aUNINA