Guides readers through the quantitative data analysis process including contextualizing data within a research situation, connecting data to the appropriate statistical tests, and drawing valid conclusions Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences presents a
Introduction to quantitative data analysis in the behavioral, social, and engineering sciences
โ Scribed by Albers, Michael J
- Publisher
- John Wiley & Sons
- Year
- 2017
- Tongue
- English
- Leaves
- 227
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Content: 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
โฆ Subjects
Social sciences -- Statistical methods;Psychology -- Statistical methods;Engineering -- Statistical methods;Quantitative research;MATHEMATICS / Research;REFERENCE / Research
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