Beyond Statistics
Pearson (Verlag)
978-0-205-31744-8 (ISBN)
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This text fills the gap between what students learn about research methods and statistics and what they don't learn about actually working with data, including data entry, data cleaning, finding errors, organizing data, transforming variables, and combining and aggregating data sets. It provides a useful vocabulary for thinking and talking about data and demystifies statistical software by showing readers how to think about data from the computer's perspective.
Introduction.
1. Orientation.
Variables, Values, and Constants.
Kinds of Variables.
Kinds of Questions.
Some Principles of Data Analysis.
2. The Tools of Data Analysis.
Computing and Data Storage.
Software.
What Doesn't Statistical Software Do?
3. Data in the Computer.
Data Files.
Data Storage Types.
Strings.
Encoding Strings.
Value Labels.
Missing Values.
Getting Data into the Computer.
Code Books and Data Dictionaries.
Exercises.
Demonstration 1: Looking at Faces, Part I.
4. Data Structures and Operations.
Casewise and Scorewise Structures.
Using Casewise and Scorewise Data.
Software Limitations.
Mixed Structures.
Changing Structure.
Being Selective.
Exercises.
5. Checking Data.
Brute Force Methods.
Intelligent Methods.
Exercises.
Demonstration 2: Looking at Faces, Part II.
6. Transforming Data.
Encoding String Variables.
Making Continuous Variables Discrete.
Arithmetic Operations on One or More Variables.
Exercises.
Practice Analysis: Who Uses Gloves.
Practice Analysis: Evaluating Reading Instruction Methods.
Demonstration 3: Comparing the Nutritional Content of Breakfast Cereals.
Demonstration 4: Effect of Expectation on Binocular Fusion.
7. Combining Data Sets.
Appending Data.
One-to-One Merges.
Match Merges.
Summary.
Exercises.
Demonstration 5: GNP and Life Expectancy.
Demonstration 6: Popularity and Priorities.
Demonstration 7: Cutting It Close.
8. Displaying Data in Tables.
Frequency Tables.
Summary Tables.
Exercises.
9. Displaying Data in Graphs.
Histograms.
Bar Graphs.
The Box-and-Whisker Plot.
The Line Graph.
The Scatter Plot.
Exercises.
10. Collapsing Data Sets.
The Simplest Case.
Adding a Second Summary Measure.
Adding a Second Independent Variable.
Adding a Second Dependent Variable.
Exercises.
Demonstration 8: Looking at Faces, Part III.
Demonstration 9: Sundown Syndrome.
Appendix A: Popular Software Equivalents of Pseudocode Commands.Appendix B: Descriptions of Data Files.References.
| Erscheint lt. Verlag | 2.11.2000 |
|---|---|
| Sprache | englisch |
| Maße | 210 x 275 mm |
| Gewicht | 519 g |
| Themenwelt | Geisteswissenschaften ► Psychologie ► Test in der Psychologie |
| Sozialwissenschaften ► Soziologie ► Empirische Sozialforschung | |
| ISBN-10 | 0-205-31744-8 / 0205317448 |
| ISBN-13 | 978-0-205-31744-8 / 9780205317448 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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