
Statistics for Psychology (Paperback)
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DescriptionEmphasizing meaning and concepts, not just symbols and numbers Statistics for Psychology, 6th edition places definitional formulas center stage to emphasize the logic behind statistics and discourage rote memorization. Each procedure is explained in a direct, concise language and both verbally and numerically. MyStatLab is an integral part of the Statistics course. MyStatLab gives students practice with hundreds of homework problems. Every problem includes tools to help students understand and solve each problem  and grades all of the problems for instructors. MyStatLab also includes tests, quizzes, eText, a Gradebook, a customizable study plan, and much more. Learning Goals Upon completing this book, readers should be able to: * Know both definitional and numerical formulas and how to apply them * Understand the logic behind each formula * Expose students to the latest thinking in statistical theory and application * Prepare students to read research articles * Learn how to use SPSS Note: This is the standalone book if you want the book/access card please order the ISBN below; 0205924174 / 9780205924172 Statistics for Psychology Plus NEW MyStatLab with eText  Access Card Package Package consists of: 0205258158 / 9780205258154 Statistics for Psychology 0205923860 / 9780205923861 New MyStatLab for Social Sciences with Pearson eText  ValuePack Access Card
 Publisher: Pearson
 Published: 01 September 2012
 Format: Paperback 744 pages
 See: Full bibliographic data
 Categories: Social Research & Statistics  Psychology  Psychological Methodology
 ISBN 13: 9780205895342 ISBN 10: 0205895344
 Sales rank: 273,982
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Full bibliographic data for Statistics for Psychology
 Title
 Statistics for Psychology
 Authors and contributors
 Physical properties
 Format: Paperback
Number of pages: 744
Width: 203 mm
Height: 254 mm
Thickness: 24 mm
Weight: 1,160 g  Language
 English
 ISBN
 ISBN 13: 9780205895342
ISBN 10: 0205895344  Classifications
BIC E4L: PSY
BIC subject category V2: JM
Nielsen BookScan Product Class 3: S2.2T
BIC subject category V2: JHBC
Ingram Subject Code: PS
WarengruppenSystematik des deutschen Buchhandels: 15300
DC22: 150.72
BISAC V2.8: PSY029000, PSY030000, PSY032000
DC23: 150.727 Edition
 12006
 Edition statement
 International ed of 6th revised ed
 Publisher
 Pearson Education (US)
 Imprint name
 Pearson
 Publication date
 01 September 2012
 Table of contents
 In this Section: 1. Brief Table of Contents 2. Full Table of Contents 1. BRIEF TABLE OF CONTENTS Chapter 1 Displaying the order in a group of numbers Chapter 2 Central tendency and variability Chapter 3 Some key ingredients for inferential statistics: Z scores, the normal curve, sample versus population, and probability Chapter 4 Introduction to hypothesis testing Chapter 5 Hypothesis testing with means of samples Chapter 6 Making sense of statistical significance: Effect size and statistical power Chapter 7 Introduction to the t test: Single sample and dependent means Chapter 8 The t test for independent means Chapter 9 Introduction to the analysis of variance Chapter 10 Factorial analysis of variance Chapter 11 Correlation Chapter 12 Prediction Chapter 13 Chisquare tests Chapter 14 Strategies when population distributions are not normal: Data transformations and rankorder tests Chapter 15 Integration and the general linear model and Making sense of advanced statistical procedures in research articles 2. FULL TABLE OF CONTENTS Chapter 1: Displaying the order in a group of numbers The Two Branches of Statistical Methods Some Basic Concepts Frequency Tables Histograms Shapes of Frequency Distributions Controversy: Misleading Graphs Frequency Tables and Histograms in Research Articles Summary Key Terms Example WorkedOut Problems Practice Problems Using SPSS Chapter Note Chapter 2: Central tendency and variability Central Tendency Variability Controversy: The Tyranny of the Mean Central Tendency and Variability in Research Articles Summary Key Terms Example WorkedOut Problems Practice Problems Using SPSS Chapter Note Chapter 3: Some key ingredients for inferential statistics: Z scores, the normal curve, sample versus population, and probability Z Scores The Normal Curve Sample and Population Probability Controversies: Is the Normal Curve Really So Normal? And Using Nonrandom Samples Z Scores, Normal Curves, Samples and Populations, and Probabilities in Research Articles Advanced Topics: Probability Rules and Conditional Probabilities Summary Key Terms Example WorkedOut Problems Practice Problems Using SPSS Chapter Note Chapter 4: Introduction to hypothesis testing A HypothesisTesting Example The Core Logic of Hypothesis Testing The HypothesisTesting Process OneTailed and TwoTailed Hypothesis Tests Controversy: Should Significance Tests Be Banned? Hypothesis Tests in Research Articles Summary Key Terms Example WorkedOut Problems Practice Problems Using SPSS Chapter Note Chapter 5: Hypothesis testing with means of samples The Distribution of Means Hypothesis Testing with a Distribution of Means: The Z Test Controversy: Marginal Significance Hypothesis Tests About Means of Samples (Z Tests) and Standards Errors in Research Articles Advanced Topic: Estimation, Standard Errors, and Confidence Intervals Advanced Topic Controversy: Confidence Intervals versus Significance Tests Advance Topic: Confidence Intervals in Research Articles Summary Key Terms Example WorkedOut Problems Practice Problems Using SPSS Chapter Note Chapter 6: Making sense of statistical significance: Effect size and statistical power Decision Errors Effect Size Statistical Power What Determines the Power of Study The Role of Power Interpreting the Results of a Study Controversy: Statistical Significance versus Effect Size Decision Errors, Effect Size, and Power in Research Articles Advanced Topics; Figuring Statistical Power Summary Key Terms Example WorkedOut Problems Practice Problems Using SPSS Chapter Note Chapter 7: Introduction to the t test: Single sample and dependent means The t Test for a Single Sample The t Test for Dependent Means Assumptions of the t Test for a Single Sample and thet Test for Dependent Means Controversy: Advantages and Disadvantages of RepeatedMeasures Designs Single Samplet Tests and Dependent Means t Tests in Research Articles Summary Key Terms Example WorkedOut Problems Practice Problems Using SPSS Chapter Note Chapter 8: The t test for independent means The Distribution of Differences Between Means Hypothesis Testing with a t Test for Independent Means Assumptions of the t Test for Independent Means Effect Size and Power for thet Test for Independent Means Review and Comparison of the Three Kinds oft Tests The t Test for Independent Means in Research Articles Advanced Topic: Power for the t Test for Independent Means When Sample Sizes Are Not Equal Summary Key Terms Example WorkedOut Problems Practice Problems Using SPSS Chapter Note Chapter 9: Introduction to the analysis of variance Basic Logic of the Analysis of Variance Carrying Out an Analysis of Variance Hypothesis Testing with the Analysis of Variance Assumptions in the Analysis of Variance Planned Contrasts Post Hoc Comparisons Effect Size and Power for the Analysis of Variance Controversy: Omnibus Tests versus Planned Contrasts Analyses of Variance in Research Articles Advanced Topic: The Structural Model in the Analysis of Variance Principles of the Structural Model Summary Key Terms Example WorkedOut Problems Practice Problems Using SPSS Chapter Note Chapter 10: Factorial analysis of variance Basic Logic of Factorial Designs and Interaction Effects Recognizing and Interpreting Interaction Effect Basic Logic of the TwoWay Analysis of Variance Assumptions in the Factorial Analysis of Variance Extensions and Special Cases of the Analysis of Variance Controversy: Dichotomizing Numeric Variables Factorial Analysis of Variance in Research Articles Advanced Topic: Figuring a TwoWay Analysis of Variance Advanced Topic: Power and Effect Size in the Factorial Analysis of Variance Summary Key Terms Example WorkedOut Problems Practice Problems Using SPSS Chapter Note Chapter 11: Correlation Graphing Correlations: The Scatter Diagram Patterns in Correlation The Correlation Coefficient Significance of a Correlation Coefficient Correlation and Causality Issues in Interpreting the Correlation Coefficient Effect Size and Power for the Correlation Coefficient Controversy: What is a Large Correlation? Correlation in Research Articles Summary Key Terms Example WorkedOut Problems Practice Problems Using SPSS Chapter Note Chapter 12: Prediction Predictor (X) and Criterion (Y) Variables The Linear Prediction Rule The Regression Line Finding the Best Linear Prediction Rule The Least Squared Error Principle Issues in Prediction Multiple Regression Limitations of Prediction Controversy: Unstandardized and Standardized Regression Coefficients; Comparing Predictors Prediction in Research Articles Advanced Topic: Error and Proportionate Reduction in Error Summary Key Terms Example WorkedOut Problems Practice Problems Using SPSS Chapter Note Chapter 13: Chisquare tests The ChiSquare Statistic and the ChiSquare Test for Goodness of Fit The ChiSquare Test for Independence Assumptions for ChiSquare Tests Effect Size and Power for ChiTests for Independence Controversy: The Minimum Expected Frequency ChiSquare Tests in Research Articles Summary Key Terms Example WorkedOut Problems Practice Problems Using SPSS Chapter Note Chapter 14: Strategies when population distributions are not normal: Data transformations and rankorder tests Assumptions in the Standard HypothesisTesting Procedures Data Transformations RankOrder Tests Comparison of Methods Controversy: ComputerIntensive Methods Data Transformations and RankOrder Tests in Research Articles Summary Key Terms Example WorkedOut Problems Practice Problems Using SPSS Chapter Note Chapter 15: Integration and the general linear model and Making sense of advanced statistical procedures in research articles The General Linear Partial Correlation Reliability Multilevel Modeling Factor Analysis Casual Modeling Procedures That Compare Groups Analysis of Covariance (ANCOVA) Multivariate Analysis of Variance (MANOVA) and Multivariate Analysis of Covariance (MANCOVA) Overview of Statistical Techniques Controversy: Should Statistics Be Controversial? How to Read Results Using Unfamiliar Statistical Techniques Summary Key Terms Example WorkedOut Problems Practice Problems Using SPSS Chapter Note