Introduction to quantitative data analysis in the behavioral and social sciences [electronic resource] / Michael J. Albers.

Description based upon print version of record.

Title Page; Copyright; Preface; About the Companion Website; Chapter 1: Introduction; Basis of How All Quantitative Statistical Based Research; Data Analysis, Not Statistical Analysis; Quantitative Versus Qualitative Research; What the Book Covers and What It Does Not Cover; Book Structure; References; Part I: Data Analysis Approaches; Chapter 2: Statistics Terminology; Statistically Testing a Hypothesis; Statistical Significance and p-Value; Confidence Intervals; Effect Size; Statistical Power of a Test; Practical Significance Versus Statistical Significance; Statistical Independence

Degrees of FreedomMeasures of Central Tendency; Percentile and Percentile Rank; Central Limit Theorem; Law of Large Numbers; References; Chapter 3: Analysis Issues and Potential Pitfalls; Effects of Variables; Outliers in the Dataset; Relationships Between Variables; A Single Contradictory Example Does Not Invalidate a Statistical Relationship; References; Chapter 4: Graphically Representing Data; Data Distributions; Bell Curves; Skewed Curves; Bimodal Distributions; Poisson Distributions; Binomial Distribution; Histograms; Scatter Plots; Box Plots; Ranges of Values and Error Bars; References

Chapter 5: Statistical TestsInter-Rater Reliability; Regression Models; Parametric Tests; Nonparametric Tests; One-Tailed or Two-Tailed Tests; Tests Must Make Sense; References; Part II: Data Analysis Examples; Chapter 6: Overview of Data Analysis Process; Know How to Analyze It Before Starting the Study; Perform an Exploratory Data Analysis; Perform the Statistical Analysis; Analyze the Results and Draw Conclusions; Writing Up the Study; References; Chapter 7: Analysis of a Study on Reading and Lighting Levels; Lighting and Reading Comprehension

Know How the Data Will Be Analyzed Before Starting the StudyPerform an Exploratory Data Analysis; Perform an Inferential Statistical Analysis; Exercises; Chapter 8: Analysis of Usability of an E-Commerce Site; Usability of an E-Commerce Site; Study Overview; Know How You Will Analyze the Data Before Starting the Study; Perform an Exploratory Data Analysis; Perform an Inferential Statistical Analysis; Follow-Up Tests; Performing Follow-Up Tests; Exercises; Reference; Chapter 9: Analysis of Essay Grading; Analysis of Essay Grading; Exploratory Data Analysis

Inferential Statistical Data AnalysisExercises; Reference; Chapter 10: Specific Analysis Examples; Handling Outliers in the Data; Floor/Ceiling Effects; Order Effects; Data from Stratified Sampling; Missing Data; Noisy Data; Transform the Data; References; Chapter 11: Other Types of Data Analysis; Time-Series Experiment; Analysis for Data Clusters; Low-Probability Events; Metadata Analysis; Reference; Appendix A: Research Terminology; Independent, Dependent, and Controlled Variables; Between Subjects and Within Subjects; Validity and Reliability; Variable Types; Type of Data

Independent Measures and Repeated Measures

Includes bibliographical references and index.