Atjaunināt sīkdatņu piekrišanu

Interpreting Basic Statistics: A Workbook Based on Excerpts from Journal Articles 9th edition [Mīkstie vāki]

(University of North Carolina, USA),
  • Formāts: Paperback / softback, 244 pages, height x width: 254x178 mm, weight: 494 g, 44 Tables, black and white; 18 Line drawings, black and white; 18 Illustrations, black and white
  • Izdošanas datums: 30-Sep-2021
  • Izdevniecība: Routledge
  • ISBN-10: 0367561972
  • ISBN-13: 9780367561970
Citas grāmatas par šo tēmu:
  • Mīkstie vāki
  • Cena: 84,62 €
  • Grāmatu piegādes laiks ir 3-4 nedēļas, ja grāmata ir uz vietas izdevniecības noliktavā. Ja izdevējam nepieciešams publicēt jaunu tirāžu, grāmatas piegāde var aizkavēties.
  • Daudzums:
  • Ielikt grozā
  • Piegādes laiks - 4-6 nedēļas
  • Pievienot vēlmju sarakstam
  • Formāts: Paperback / softback, 244 pages, height x width: 254x178 mm, weight: 494 g, 44 Tables, black and white; 18 Line drawings, black and white; 18 Illustrations, black and white
  • Izdošanas datums: 30-Sep-2021
  • Izdevniecība: Routledge
  • ISBN-10: 0367561972
  • ISBN-13: 9780367561970
Citas grāmatas par šo tēmu:
"Interpreting Basic Statistics gives students valuable practice in interpreting statistical reporting as it actually appears in peer-reviewed journals. Features of the ninth edition: Covers a broad array of basic statistical concepts, including topics drawn from the New Statistics Up-to-date journal excerpts reflecting contemporary styles in statistical reporting Strong emphasis on data visualization Ancillary materials include data sets with almost two hours of accompanying tutorial videos, which will help students and instructors apply lessons from the book to real life scenarios About this book Each of the 63 exercises in the book contain three central components: 1) an introduction to a statistical concept, 2) a brief excerpt from a published research article that uses the statistical concept, and 3) a set of questions (with answers) that guides students into deeper learning about the concept. The questions on the journal excerpts promote learning by helping students o interpret information in tablesand figures, o perform simple calculations to further their interpretations, o critique data-reporting techniques, and o evaluate procedures used to collect data. The questions in each exercise are divided into two parts: (1) Factual Questions and (2) Questions for Discussion. The factual questions require careful reading for details, while the discussion questions show that interpreting statistics is more than a mathematical exercise. These questions require students to apply good judgment as well as statistical reasoning in arriving at appropriate interpretations. Each exercise covers a limited number of topics, making it easy to coordinate the exercises with lectures or a traditional statistics textbook"--

Interpreting Basic Statistics gives students valuable practice in interpreting statistical reporting as it actually appears in peer-reviewed journals.

Features of the ninth edition:

  • Covers a broad array of basic statistical concepts, including topics drawn from the New Statistics
  • Up-to-date journal excerpts reflecting contemporary styles in statistical reporting
  • Strong emphasis on data visualization
    • Ancillary materials include data sets with almost two hours of accompanying tutorial videos, which will help students and instructors apply lessons from the book to real life scenarios
  • About this book

    Each of the 63 exercises in the book contain three central components: 1) an introduction to a statistical concept, 2) a brief excerpt from a published research article that uses the statistical concept, and 3) a set of questions (with answers) that guides students into deeper learning about the concept.

    The questions on the journal excerpts promote learning by helping students

      • interpret information in tables and figures,
      • perform simple calculations to further their interpretations,
      • critique data-reporting techniques, and
      • evaluate procedures used to collect data.

    The questions in each exercise are divided into two parts: (1) Factual Questions and (2) Questions for Discussion. The factual questions require careful reading for details, while the discussion questions show that interpreting statistics is more than a mathematical exercise. These questions require students to apply good judgment as well as statistical reasoning in arriving at appropriate interpretations.

    Each exercise covers a limited number of topics, making it easy to coordinate the exercises with lectures or a traditional statistics textbook.



    Interpreting Basic Statistics gives students valuable practice in interpreting statistical reporting as it actually appears in peer-reviewed journals.

    Recenzijas

    The 9th edition of this workbook is an engaging and invaluable tool for teaching students how to interpret statistics as they encounter them in articles written within the psychological, social, and health sciences. By choosing article excerpts that are sure to interest undergraduate readers, the authors may entice those many students who say they fear numbers into taking their first halting steps toward understanding. By providing clear and concise descriptions of key concepts and posing astute questions, the workbook demystifies the scientific enterprise and explains its importance for comprehending the social world. And by starting with the simplest ideas and gradually, step by step, moving toward a more complex understanding, the authors gently lead students on a learning journey that is sure to be deeply informative and maybe even fun! -- Dan P. McAdams, the Henry Wade Rogers Professor of Psychology, Northwestern University, USA

    "This introduction to reading and understanding statistics is very basic and easy to understand, but at the same time it is scientifically oriented, contemporary in outlook and forward looking in methodology. It points students in exactly the right direction, emphasizing meaningful interpretation of scientific results over recitation of cookbook formulas. Students will come away with the tools they need for comprehending graphical analysis, effect size, and statistical power." -- Eric Turkheimer, PhD, Hugh Scott Hamilton Professor, Department of Psychology, University of Virginia, USA The ninth edition of this workbook is an engaging and invaluable tool for teaching students how to interpret statistics as they encounter them in articles written within the psychological, social, and health sciences. By choosing article excerpts that are sure to interest undergraduate readers, the authors may entice those many students who say they fear numbers into taking their first halting steps toward understanding. By providing clear and concise descriptions of key concepts and posing astute questions, the workbook demystifies the scientific enterprise and explains its importance for comprehending the social world. And by starting with the simplest ideas and gradually, step by step, moving toward a more complex understanding, the authors gently lead students on a learning journey that is sure to be deeply informative and maybe even fun! -- Dan P. McAdams, the Henry Wade Rogers Professor of Psychology, Northwestern University, USA

    "This introduction to reading and understanding statistics is very basic and easy to understand, but at the same time it is scientifically oriented, contemporary in outlook and forward looking in methodology. It points students in exactly the right direction, emphasizing meaningful interpretation of scientific results over recitation of cookbook formulas. Students will come away with the tools they need for comprehending graphical analysis, effect size, and statistical power." -- Eric Turkheimer, PhD, Hugh Scott Hamilton Professor, Department of Psychology, University of Virginia, USA

    Preface x
    Acknowledgments xiii
    1 Basic Descriptions of the Data: Measurement and Frequency
    1(26)
    Introduction
    1(2)
    1.1 Percentage I
    3(3)
    1.2 Percentage II
    6(3)
    1.3 Frequency Distribution with Percentages
    9(3)
    1.4 Cumulative Percentage and Percentile Rank
    12(3)
    1.5 Rate per 100,000: Alternatives to Percentage
    15(3)
    1.6 Nominal and Rank Order Data: Scale of Measurement I
    18(4)
    1.7 Interval and Ratio Data: Scale of Measurement II
    22(5)
    2 Describing the Data
    27(28)
    Introduction
    27(2)
    2.1 Mean, Median, Mode, and Cumulative Percentage
    29(3)
    2.2 Mean and Range
    32(3)
    2.3 Median and Interquartile Range
    35(4)
    2.4 Mean, Standard Deviation, and 68% Rule
    39(3)
    2.5 Mean, Standard Deviation, and 95% and 99% Rules
    42(3)
    2.6 Z Scores I
    45(4)
    2.7 Z Scores II
    49(3)
    2.8 TScores
    52(3)
    3 Displaying Data: Visualizing What Is There
    55(32)
    Introduction
    55(2)
    3.1 Histogram
    57(3)
    3.2 Mean, Median, and Histogram
    60(3)
    3.3 Stem and Leaf Plot
    63(3)
    3.4 Box and Whisker Plot
    66(3)
    3.5 Line Graph with Rate per 100,000
    69(3)
    3.6 Scatterplot
    72(3)
    3.7 Scatterplot and Regression Line
    75(3)
    3.8 The Normal Distribution
    78(4)
    3.9 Excerpts on Sampling
    82(5)
    4 Finding Relationships: Association and Prediction
    87(36)
    Introduction
    87(2)
    4.1 Correlation I
    89(3)
    4.2 Correlation II
    92(3)
    4.3 Significance of a Correlation I
    95(5)
    4.4 Significance of a Correlation II
    100(3)
    4.5 Meta-Analysis with Correlation Coefficients
    103(5)
    4.6 Correlation and R21
    108(3)
    4.7 Correlation and R2 II
    111(3)
    4.8 Simple Linear Regression
    114(4)
    4.9 Multiple Linear Regression
    118(5)
    5 Group Differences with Normal Distributions
    123(70)
    Introduction
    123(2)
    5.1 Mest for Independent Groups I
    125(4)
    5.2 Mest for Independent Groups II
    129(3)
    5.3 Mest for Dependent Groups I
    132(3)
    5.4 Mest for Dependent Groups II
    135(3)
    5.5 Effect Size (d-Type) I
    138(3)
    5.6 Effect Size (d-Type) II
    141(3)
    5.7 Meta-Analysis with d-Type Effect Size
    144(4)
    5.8 Statistical Power
    148(4)
    5.9 One-Way ANOVA
    152(4)
    5.10 One-Way ANOVA with Post Hoc Tests
    156(4)
    5.11 Two-Way ANOVA I
    160(3)
    5.12 Two-Way ANOVA II
    163(3)
    5.13 Percentage, Standard Error, and 95% Confidence Interval
    166(5)
    5.14 Standard Error of a Percentage and Confidence Interval
    171(3)
    5.15 Standard Error of the Mean and 95% Confidence Interval
    174(4)
    5.16 Standard Error of the Mean and 68%, 95%, and 99% Confidence Intervals
    178(4)
    5.17 p-Hacking
    182(5)
    5.18 New Methods to Prevent p-Hacking
    187(6)
    6 Nonparametric Tests for Group Differences
    193(30)
    Introduction
    193(2)
    6.1 Chi-Square I
    195(3)
    6.2 Chi-Square II
    198(3)
    6.3 Chi-Square and Crosstabs
    201(4)
    6.4 Chi-Square and Cramer's V
    205(3)
    6.5 Chi-Square and Odds Ratios
    208(4)
    6.6 Chi-Square with Post Hoc Tests
    212(3)
    6.7 Wilcoxon-Mann-Whitney Test
    215(4)
    6.8 Wilcoxon Matched-Pairs Test
    219(4)
    7 Test Construction
    223(18)
    Introduction
    223(2)
    7.1 Item-Total Correlations
    225(5)
    7.2 Test-Retest Reliability and R2
    230(4)
    7.3 Internal Consistency and Cronbach's Alpha
    234(4)
    7.4 Validity Coefficients and Test-Retest Reliability
    238(3)
    Index 241
    Keith S. Cox is a Clinical and Personality Psychologist. He teaches research methods and statistics at the University of North Carolina Asheville, where he holds the rank of assistant professor. He uses the research methods and statistics covered in this book as he investigates Posttraumatic Stress Disorder (PTSD) and personality.