Statistical Reasoning in the Behavioral Sciences (Record no. 1267)
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| 000 -LEADER | |
|---|---|
| fixed length control field | nam a22 7a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20180217113836.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 180217b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 978-81-265-3114-1 |
| 028 ## - PUBLISHER NUMBER | |
| Source | Allied Informatics, Jaipur |
| Bill Number | 4485 |
| Bill Date | 4485/23/01/2018 |
| Purchase Year | 2017-18 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | BSDU |
| Language of cataloging | English |
| Transcribing agency | BSDU |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 300.727 |
| Item number | KIN |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | King, Bruce M & Minium, Edward W |
| 245 ## - TITLE STATEMENT | |
| Title | Statistical Reasoning in the Behavioral Sciences |
| 250 ## - EDITION STATEMENT | |
| Remainder of edition statement | 5th |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | New Delhi |
| Name of publisher, distributor, etc. | Wiley India Pvt. Ltd. India |
| Date of publication, distribution, etc. | 2014 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 487 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | CHAPTER 1 Introduction.<br/>1.1 Descriptive Statistics.<br/><br/>1.2 Inferential Statistics.<br/><br/>1.3 Our Concern: Applied Statistics.<br/><br/>1.4 Variables and Constants.<br/><br/>1.5 Scales of Measurement.<br/><br/>1.6 Scales of Measurement and Problems of Statistical Treatment.<br/><br/>1.7 Do Statistics Lie?<br/><br/>Point of Controversy: Are Statistical Procedures Necessary?<br/><br/>1.8 Some Tips on Studying Statistics.<br/><br/>1.9 Statistics and Computers.<br/><br/>1.10 Summary.<br/><br/>CHAPTER 2 Frequency Distributions, Percentiles, and Percentile Ranks.<br/><br/>2.1 Organizing Qualitative Data.<br/><br/>2.2 Grouped Scores.<br/><br/>2.3 How to Construct a Grouped Frequency Distribution.<br/><br/>2.4 Apparent versus Real Limits.<br/><br/>2.5 The Relative Frequency Distribution.<br/><br/>2.6 The Cumulative Frequency Distribution.<br/><br/>2.7 Percentiles and Percentile Ranks.<br/><br/>2.8 Computing Percentiles from Grouped Data.<br/><br/>2.9 Computation of Percentile Rank.<br/><br/>2.10 Summary.<br/><br/>CHAPTER 3 Graphic Representation of Frequency Distributions.<br/><br/>3.1 Basic Procedures.<br/><br/>3.2 The Histogram.<br/><br/>3.3 The Frequency Polygon.<br/><br/>3.4 Choosing between a Histogram and a Polygon.<br/><br/>3.5 The Bar Diagram and the Pie Chart.<br/><br/>3.6 The Cumulative Percentage Curve.<br/><br/>3.7 Factors Affecting the Shape of Graphs.<br/><br/>3.8 Shape of Frequency Distributions.<br/><br/>3.9 Summary.<br/><br/>CHAPTER 4 Central Tendency.<br/><br/>4.1 The Mode.<br/><br/>4.2 The Median.<br/><br/>4.3 The Mean.<br/><br/>4.4 Properties of the Mode.<br/><br/>4.5 Properties of the Mean.<br/><br/>Point of Controversy: Is It Permissible to Calculate the Mean for Tests in the Behavioral Sciences?<br/><br/>4.6 Properties of the Median.<br/><br/>4.7 Measures of Central Tendency in Symmetrical and Asymmetrical Distributions.<br/><br/>4.8 The Effects of Score Transformations.<br/><br/>4.9 Summary.<br/><br/>CHAPTER 5 Variability and Standard (z) Scores.<br/><br/>5.1 The Range and Semi-Interquartile Range.<br/><br/>5.2 Deviation Scores.<br/><br/>5.3 Deviational Measures: The Variance.<br/><br/>5.4 Deviational Measures: The Standard Deviation.<br/><br/>5.5 Calculation of the Variance and Standard Deviation: Raw-Score Method.<br/><br/>5.6 Calculation of the Standard Deviation with IBM SPSS (formerly SPSS).<br/><br/>Point of Controversy: Calculating the Sample Variance: Should We Divide by n or (n - 1)?<br/><br/>5.7 Properties of the Range and Semi-Interquartile Range.<br/><br/>5.8 Properties of the Standard Deviation.<br/><br/>5.9 How Big Is a Standard Deviation?<br/><br/>5.10 Score Transformations and Measures of Variability.<br/><br/>5.11 Standard Scores (z Scores).<br/><br/>5.12 A Comparison of z Scores and Percentile Ranks.<br/><br/>5.13 Summary.<br/><br/>CHAPTER 6 Standard Scores and the Normal Curve.<br/><br/>6.1 Historical Aspects of the Normal Curve.<br/><br/>6.2 The Nature of the Normal Curve.<br/><br/>6.3 Standard Scores and the Normal Curve.<br/><br/>6.4 The Standard Normal Curve: Finding Areas When the Score Is Known.<br/><br/>6.5 The Standard Normal Curve: Finding Scores When the Area Is Known.<br/><br/>6.6 The Normal Curve as a Model for Real Variables.<br/><br/>6.7 The Normal Curve as a Model for Sampling Distributions.<br/><br/>6.8 Summary.<br/><br/>Point of Controversy: How Normal Is the Normal Curve?<br/><br/>CHAPTER 7 Correlation.<br/><br/>7.1 Some History.<br/><br/>7.2 Graphing Bivariate Distributions: The Scatter Diagram.<br/><br/>7.3 Correlation: A Matter of Direction.<br/><br/>7.4 Correlation: A Matter of Degree.<br/><br/>7.5 Understanding the Meaning of Degree of Correlation.<br/><br/>7.6 Formulas for Pearson's Coefficient of Correlation.<br/><br/>7.7 Calculating r from Raw Scores.<br/><br/>7.8 Calculating r with IBM SPSS.<br/><br/>7.9 Spearman's Rank-Order Correlation Coefficient.<br/><br/>7.10 Correlation Does Not Prove Causation.<br/><br/>7.11 The Effects of Score Transformations.<br/><br/>7.12 Cautions Concerning Correlation Coefficients.<br/><br/>7.13 Summary.<br/><br/>CHAPTER 8 Prediction.<br/><br/>8.1 The Problem of Prediction.<br/><br/>8.2 The Criterion of Best Fit.<br/><br/>Point of Controversy: Least-Squares Regression versus the Resistant Line.<br/><br/>8.3 The Regression Equation: Standard-Score Form.<br/><br/>8.4 The Regression Equation: Raw-Score Form.<br/><br/>8.5 Error of Prediction: The Standard Error of Estimate.<br/><br/>8.6 An Alternative (and Preferred) Formula for SYX.<br/><br/>8.7 Calculating the “Raw-Score” Regression Equation and Standard Error of Estimate with IBM SPSS.<br/><br/>8.8 Error in Estimating Y from X.<br/><br/>8.9 Cautions Concerning Estimation of Predictive Error.<br/><br/>8.10 Prediction Does Not Prove Causation.<br/><br/>8.11 Summary.<br/><br/>CHAPTER 9 Interpretive Aspects of Correlation and Regression.<br/><br/>9.1 Factors Influencing r : Degree of Variability in Each Variable.<br/><br/>9.2 Interpretation of r : The Regression Equation I.<br/><br/>9.3 Interpretation of r : The Regression Equation II.<br/><br/>9.4 Interpretation of r : Proportion of Variation in Y Not Associated with<br/><br/>Variation in X.<br/><br/>9.5 Interpretation of r : Proportion of Variation in Y Associated with<br/><br/>Variation in X.<br/><br/>9.6 Interpretation of r : Proportion of Correct Placements.<br/><br/>9.7 Summary.<br/><br/>CHAPTER 10 Probability.<br/><br/>10.1 Defining Probability.<br/><br/>10.2 A Mathematical Model of Probability.<br/><br/>10.3 Two Theorems in Probability.<br/><br/>10.4 An Example of a Probability Distribution: The Binomial.<br/><br/>10.5 Applying the Binomial.<br/><br/>10.6 Probability and Odds.<br/><br/>10.7 Are Amazing Coincidences Really That Amazing?<br/><br/>10.8 Summary.<br/><br/>CHAPTER 11 Random Sampling and Sampling Distributions.<br/><br/>11.1 Random Sampling.<br/><br/>11.2 Using a Table of Random Numbers.<br/><br/>11.3 The Random Sampling Distribution of the Mean: An Introduction.<br/><br/>11.4 Characteristics of the Random Sampling Distribution of the Mean.<br/><br/>11.5 Using the Sampling Distribution of X to Determine the Probability for Different Ranges of Values of X.<br/><br/>11.6 Random Sampling Without Replacement.<br/><br/>11.7 Summary.<br/><br/>CHAPTER 12 Introduction to Statistical Inference: Testing Hypotheses about Single Means (z and t). <br/><br/>12.1 Testing a Hypothesis about a Single Mean.<br/><br/>12.2 The Null and Alternative Hypotheses.<br/><br/>12.3 When Do We Retain and When Do We Reject the Null Hypothesis?<br/><br/>12.4 Review of the Procedure for Hypothesis Testing.<br/><br/>12.5 Dr. Brown's Problem: Conclusion.<br/><br/>12.6 The Statistical Decision.<br/><br/>12.7 Choice of HA: One-Tailed and Two-Tailed Tests.<br/><br/>12.8 Review of Assumptions in Testing Hypotheses about a Single Mean.<br/><br/>Point of Controversy: The Single-Subject Research Design.<br/><br/>12.9 Estimating the Standard Error of the Mean When σ Is Unknown.<br/><br/>12.10 The t Distribution.<br/><br/>12.11 Characteristics of Student's Distribution of t.<br/><br/>12.12 Degrees of Freedom and Student's Distribution of t.<br/><br/>12.13 An Example: Has the Violent Content of Television Programs Increased?<br/><br/>12.14 Calculating t from Raw Scores.<br/><br/>12.15 Calculating t with IBM SPSS.<br/><br/>12.16 Levels of Significance versus p-Values.<br/><br/>12.17 Summary.<br/><br/>CHAPTER 13 Interpreting the Results of Hypothesis Testing: Effect Size, Type I and Type II Errors, and Power.<br/><br/>13.1 A Statistically Significant Difference versus a Practically Important Difference.<br/><br/>Point of Controversy: The Failure to Publish “Nonsignificant” Results.<br/><br/>13.2 Effect Size.<br/><br/>13.3 Errors in Hypothesis Testing.<br/><br/>13.4 The Power of a Test.<br/><br/>13.5 Factors Affecting Power: Difference between the True Population Mean and the Hypothesized Mean (Size of Effect).<br/><br/>13.6 Factors Affecting Power: Sample Size.<br/><br/>13.7 Factors Affecting Power:Variability of the Measure.<br/><br/>13.8 Factors Affecting Power: Level of Significance (α).<br/><br/>13.9 Factors Affecting Power: One-Tailed versus Two-Tailed Tests.<br/><br/>13.10 Calculating the Power of a Test.<br/><br/>Point of Controversy: Meta-Analysis.<br/><br/>13.11 Estimating Power and Sample Size for Tests of Hypotheses about Means.<br/><br/>13.12 Problems in Selecting a Random Sample and in Drawing Conclusions.<br/><br/>13.13 Summary.<br/><br/>CHAPTER 14 Testing Hypotheses about the Difference between Two Independent Groups.<br/><br/>14.1 The Null and Alternative Hypotheses.<br/><br/>14.2 The Random Sampling Distribution of the Difference between Two Sample Means.<br/><br/>14.3 Properties of the Sampling Distribution of the Difference between Means.<br/><br/>14.4 Determining a Formula for t.<br/><br/>14.5 Testing the Hypothesis of No Difference between Two Independent Means: The Dyslexic Children Experiment.<br/><br/>14.6 Use of a One-Tailed Test.<br/><br/>14.7 Calculation of t with IBM SPSS.<br/><br/>14.8 Sample Size in Inference about Two Means.<br/><br/>14.9 Effect Size.<br/><br/>14.10 Estimating Power and Sample Size for Tests of Hypotheses about the Difference between Two Independent Means.<br/><br/>14.11 Assumptions Associated with Inference about the Difference between Two Independent Means.<br/><br/>14.12 The Random-Sampling Model versus the Random-Assignment Model.<br/><br/>14.13 Random Sampling and Random Assignment as Experimental Controls.<br/><br/>14.14 Summary.<br/><br/>CHAPTER 15 Testing for a Difference between Two Dependent (Correlated) Groups.<br/><br/>15.1 Determining a Formula for t.<br/><br/>15.2 Degrees of Freedom for Tests of No Difference between Dependent Means.<br/><br/>15.3 An Alternative Approach to the Problem of Two Dependent Means.<br/><br/>15.4 Testing a Hypothesis about Two Dependent Means: Does Text Messaging Impair Driving?<br/><br/>15.5 Calculating t with IBM SPSS.<br/><br/>15.6 Effect Size.<br/><br/>15.7 Power.<br/><br/>15.8 Assumptions When Testing a Hypothesis about the Difference between Two Dependent Means.<br/><br/>15.9 Problems with Using the Dependent-Samples Design.<br/><br/>15.10 Summary.<br/><br/>CHAPTER 16 Inference about Correlation Coefficients.<br/><br/>16.1 The Random Sampling Distribution of r.<br/><br/>16.2 Testing the Hypothesis that r = 0.<br/><br/>16.3 Fisher’s z' Transformation.<br/><br/>16.4 Strength of Relationship.<br/><br/>16.5 A Note about Assumptions.<br/><br/>16.6 Inference When Using Spearman’s rS<br/><br/>16.7 Summary.<br/><br/>CHAPTER 17 An Alternative to Hypothesis Testing: Confidence Intervals.<br/><br/>17.1 Examples of Estimation.<br/><br/>17.2 Confidence Intervals for μX.<br/><br/>17.3 The Relation between Confidence Intervals and Hypothesis Testing.<br/><br/>17.4 The Advantages of Confidence Intervals.<br/><br/>17.5 Random Sampling and Generalizing Results.<br/><br/>17.6 Evaluating a Confidence Interval.<br/><br/>Point of Controversy: Objectivity and Subjectivity in Inferential Statistics: Bayesian Statistics.<br/><br/>17.7 Confidence Intervals for μX - μY. <br/><br/>17.8 Sample Size Required for Confidence Intervals of μX and μX - μY.<br/><br/>17.9 Confidence Intervals for ρ.<br/><br/>17.10 Where are We in Statistical Reform?<br/><br/>17.11 Summary.<br/><br/>CHAPTER 18 Testing for Differences among Three or More Groups: One-Way Analysis of Variance (and Some Alternatives).<br/><br/>18.1 The Null Hypothesis.<br/><br/>18.2 The Basis of One-Way Analysis of Variance:Variation within and between Groups.<br/><br/>18.3 Partition of the Sums of Squares.<br/><br/>18.4 Degrees of Freedom.<br/><br/>18.5 Variance Estimates and the F Ratio.<br/><br/>18.6 The Summary Table.<br/><br/>18.7 Example: Does Playing Violent Video Games Desensitize People to Real-Life Aggression?<br/><br/>18.8 Comparison of t and F.<br/><br/>18.9 Raw-Score Formulas for Analysis of Variance.<br/><br/>18.10 Calculation of ANOVA for Independent Measures with IBM SPSS.<br/><br/>18.11 Assumptions Associated with ANOVA.<br/><br/>18.12 Effect Size.<br/><br/>18.13 ANOVA and Power.<br/><br/>18.14 Post Hoc Comparisons.<br/><br/>18.15 Some Concerns about Post Hoc Comparisons.<br/><br/>18.16 An Alternative to the F Test: Planned Comparisons.<br/><br/>18.17 How to Construct Planned Comparisons.<br/><br/>18.18 Analysis of Variance for Repeated Measures.<br/><br/>18.19 Calculation of ANOVA for Repeated Measures with IBM SPSS.<br/><br/>18.20 Summary.<br/><br/>CHAPTER 19 Factorial Analysis of Variance: The Two-Factor Design.<br/><br/>19.1 Main Effects.<br/><br/>19.2 Interaction.<br/><br/>19.3 The Importance of Interaction.<br/><br/>19.4 Partition of the Sums of Squares for Two-Way ANOVA.<br/><br/>19.5 Degrees of Freedom.<br/><br/>19.6 Variance Estimates and F Tests.<br/><br/>19.7 Studying the Outcome of Two-Factor Analysis of Variance.<br/><br/>19.8 Effect Size.<br/><br/>19.9 Calculation of Two-Factor ANOVA with IBM SPSS.<br/><br/>19.10 Planned Comparisons.<br/><br/>19.11 Assumptions of the Two-Factor Design and the Problem of Unequal Numbers of Scores.<br/><br/>19.12 Mixed Two-Factor Within-Subjects Design.<br/><br/>19.13 Calculation of the Mixed Two-Factor Within-Subjects Design with IBM SPSS.<br/><br/>19.14 Summary.<br/><br/>CHAPTER 20 Chi-Square and Inference about Frequencies.<br/><br/>20.1 The Chi-Squre Test for Goodness of Fit.<br/><br/>20.2 Chi-Square (χ2) as a Measure of the Difference between Observed and Expected Frequencies.<br/><br/>20.3 The Logic of the Chi-Square Test.<br/><br/>20.4 Interpretation of the Outcome of a Chi-Square Test.<br/><br/>20.5 Different Hypothesized Proportions in the Test for Goodness of Fit.<br/><br/>20.6 Effect Size for Goodness-of-Fit Problems.<br/><br/>20.7 Assumptions in the Use of the Theoretical Distribution of Chi-Square.<br/><br/>20.8 Chi-Square as a Test for Independence between Two Variables.<br/><br/>20.9 Finding Expected Frequencies in a Contingency Table.<br/><br/>20.10 Calculation of χ2 and Determination of Significance in a Contingency Table.<br/><br/>20.11 Measures of Effect Size (Strength of Association) for Tests of Independence.<br/><br/>Point of Controversy: Yates' Correction for Continuity.<br/><br/>20.12 Power and the Chi-Square Test of Independence.<br/><br/>20.13 Summary.<br/><br/>CHAPTER 21 Some (Almost) Assumption-Free Tests.<br/><br/>21.1 The Null Hypothesis in Assumption-Freer Tests.<br/><br/>21.2 Randomization Tests.<br/><br/>21.3 Rank-Order Tests.<br/><br/>21.4 The Bootstrap Method of Statistical Inference.<br/><br/>21.5 An Assumption-Freer Alternative to the t Test of a Difference between Two Independent Groups: The Mann-Whitney U Test.<br/><br/>Point of Controversy: A Comparison of the t Test and Mann-Whitney U Test with Real-World Distributions.<br/><br/>21.6 An Assumption-Freer Alternative to the t Test of a Difference between Two Dependent Groups: The Sign Test.<br/><br/>21.7 Another Assumption-Freer Alternative to the t Test of a Difference between Two Dependent Groups: The Wilcoxon Signed-Ranks Test.<br/><br/>21.8 An Assumption-Freer Alternative to One-Way ANOVA for Independent Groups: The Kruskal–Wallis Test.<br/><br/>21.9 An Assumption-Freer Alternative to ANOVA for Repeated Measures:<br/><br/>Friedman's Rank Test for Correlated Samples.<br/><br/>21.10 Summary.<br/><br/>APPENDIX A Review of Basic Mathematics.<br/><br/>APPENDIX B List of Symbols.<br/><br/>APPENDIX C Answers to Problems.<br/><br/>APPENDIX D Statistical Tables.<br/><br/>Table A: Areas under the Normal Curve Corresponding to Given Values of z.<br/><br/>Table B: The Binomial Distribution.<br/><br/>Table C: Random Numbers.<br/><br/>Table D: Student's t Distribution.<br/><br/>Table E: The F Distribution.<br/><br/>Table F: The Studentized Range Statistic.<br/><br/>Table G: Values of the Correlation Coefficient Required for Different Levels of Significance When H0: r= 0<br/><br/>Table H: Values of Fisher's z' for Values of r.<br/><br/>Table I: The χ2 Distribution.<br/><br/>Table J: Critical One-Tail Values of SRX for the Mann-Whitney U Test.<br/><br/>Table K: Critical Values for the Smaller of R+ or R- for the Wilcoxon Signed-Ranks Test.<br/><br/>Epilogue: The Realm of Statistics. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Behavioral Science |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Statistics |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Minium, Edward W |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Books |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Cost, normal purchase price | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type | Date last checked out |
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| Dewey Decimal Classification | BSDU Knowledge Resource Center, Jaipur | BSDU Knowledge Resource Center, Jaipur | General Stacks | 02/17/2018 | 639.00 | 300.727 KIN | 014446 | 02/12/2020 | 02/17/2018 | Books | ||||||
| Dewey Decimal Classification | BSDU Knowledge Resource Center, Jaipur | BSDU Knowledge Resource Center, Jaipur | General Stacks | 02/17/2018 | 639.00 | 1 | 300.727 KIN | 014447 | 08/28/2020 | 02/17/2018 | Books | 08/11/2020 |