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Record Nr. |
UNINA9910828437303321 |
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Autore |
Geher Glenn |
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Titolo |
Straightforward statistics : understanding the tools of research / / Glenn Geher and Sara Hall |
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Pubbl/distr/stampa |
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Oxford : , : Oxford University Press, , [2014] |
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©2014 |
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ISBN |
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Descrizione fisica |
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1 online resource (481 pages) |
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Disciplina |
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Soggetti |
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Psychometrics |
Psychology - Research |
Psychology - Mathematical models |
Statistics - Study and teaching (Higher) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Cover; 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 |
Indices 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 |
Computing Z-Scores for All Studentsfor the Madupistan Verbal |
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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 |
A 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 |
The 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 |
chapter 10 t-tests (One-Sample and Within-Groups) |
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Sommario/riassunto |
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Straightforward 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 |
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