Understanding Educational Statistics Using Microsoft Excel and SPSS
Autor principal: | |
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Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Newark :
John Wiley & Sons, Incorporated,
2011.
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Colección: | New York Academy of Sciences Ser.
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Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Cover
- Title Page
- Copyright
- Contents
- Preface
- Acknowledgments
- 1 Introduction
- Approach of the Book
- Project Labs
- Real-world Data
- Research Design
- ''Practical Significance''-implications of Findings
- Coverage of Statistical Procedures
- 2 Getting Acquainted with Microsoft Excel®
- Data Management
- Rows and Columns
- Data Sheets
- The Excel® Menus
- Home
- Insert Tab
- Page Layout
- Formulas
- Data
- Review and View Menus
- 3 Using Statistics in Excel®
- Using Statistical Functions
- Entering Formulas Directly
- Data Analysis Procedures
- Missing Values and ''0'' Values in Excel® Analyses
- Using Excel® with Real Data
- School-level Achievement Database
- Taglit Data
- The STAR Classroom Observation ProtocolTM Data4
- 4 SPSS® Basics
- Using SPSS®
- General Features
- Management Functions
- Reading and Importing Data
- Sort
- Additional Management Functions
- Split File
- Transform/compute (creating Indices)
- Merge
- Analysis Functions
- 5 Descriptive Statistics- Central Tendency
- Research Applications-spuriousness
- Descriptive and Inferential Statistics
- The Nature of Data-scales of Measurement
- Nominal Data
- Ordinal Data
- Interval Data
- Ratio Data
- Choosing the Correct Statistical Procedure for the Nature of Research Data
- Descriptive Statistics-central Tendency
- Mean
- Median
- Mode
- Using Excel® and SPSS® to Understand Central Tendency
- Excel®
- SPSS®
- Distributions
- Describing the Normal Distribution
- Central Tendency
- Skewness
- Kurtosis
- Descriptive Statistics-using Graphical Methods
- Frequency Distributions
- Histograms
- Terms and Concepts
- Real-world Lab I: Central Tendency
- Real-world Lab I: Solutions
- Results
- Results
- 6 Descriptive Statistics- Variablity
- Range
- Percentile
- Scores Based on Percentiles
- Using Excel® and SPSS® to Identify Percentiles
- Note
- Standard Deviation and Variance
- Calculating the Variance and Standard Deviation
- The Deviation Method
- The Computation Method
- The Sum of Squares
- Sample Sd and Population Sd
- Obtaining Sd from Excel® and SPSS®
- Terms and Concepts
- Real-world Lab II: Variability
- Real-world Lab II: Solutions
- Results
- 7 The Normal Distribution
- The Nature of the Normal Curve
- The Standard Normal Score: Z Score
- The Z-score Table of Values
- Navigating the Z-score Distribution
- Calculating Percentiles
- Creating Rules for Locating Z Scores
- Calculating Z Scores
- Working with Raw Score Distributions
- Using Excel® to Create Z Scores and Cumulative Proportions
- STANDARDIZE Function
- NORMSDIST Function
- NORMSDIST Function
- Using SPSS® to Create Z Scores
- Terms and Concepts
- Real-world Lab Iii: the Normal Curve and Z Scores
- Real-world Lab Iii: Solutions
- 8 The Z Distribution and Probability
- Transforming a Z Score to a Raw Score
- Transforming Cumulative Proportions to Z Scores