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# IBM SPSS for Introductory Statistics [electronic resource] : Use and Interpretation, Fourth Edition

Material type: Computer filePublisher number: 9780415882293Publication details: Hoboken : Taylor and Francis, 2011.Edition: 4th edISBN:
• 9780203842966
Genre/Form: Additional physical formats: Print version:: IBM SPSS for Introductory Statistics : Use and Interpretation, Fourth EditionDDC classification:
• 005.5/5
LOC classification:
• HA32.S572 2011
Online resources:
Contents:
Front Cover; IDM SPSS for Introductory Statistics; Copyright Page; Contents; Preface; 1. Variables, Research Problems, and Questions; Research Problems; Variables; Research Hypotheses and Questions; A Sample Research Problem: The Modified High School and Beyond (HSB) Study; Interpretation Questions; 2. Data Coding, Entry, and Checking; Plan the Study, Pilot Test, and Collect Data; Code Data for Data Entry; Problem 2.1: Check the Completed Questionnaires; Problem 2.2: Define and Label the Variables; Problem 2.3: Display Your Dictionary or Codebook; Problem 2.4: Enter Data
9. Comparing Two Groups With t Tests and Similar Nonparametric Tests
Interpretation QuestionsExtra Problems; 6. Selecting and Interpreting Inferential Statistics; General Design Classifications for Difference Questions; Selection of Inferential Statistics; The General Linear Model; Interpreting the Results of a Statistical Test; An Example of How to Select and Interpret Inferential Statistics; Writing About Your Outputs; Conclusion; Interpretation Questions; 7. Cross-Tabulation, Chi-Square, and Nonparametric Measures of Association; Problem 7.1: Chi-Square and Phi (or Cramer's V); Problem 7.2: Risk Ratios and Odds Ratios
Problem 2.5: Run Descriptives and Check the DataInterpretation Questions; Extra Problems; 3. Measurement and Descriptive Statistics; Frequency Distributions; Levels of Measurement; Descriptive Statistics and Plots; The Normal Curve; Interpretation Questions; Extra Problems; 4. Understanding Your Data and Checking Assumptions; Exploratory Data Analysis (EDA); Problem 4.1: Descriptive Statistics for the Ordinal and Scale Variables; Problem 4.2: Boxplots for One Variable and for Multiple Variables; Problem 4.3: Boxplots and Stem-and-Leaf Plots Split by a Dichotomous Variable
Problem 4.4: Descriptives for Dichotomous VariablesProblem 4.5: Frequency Tables for a Few Variables; Interpretation Questions; Extra Problems; 5. Data File Management and Writing About Descriptive Statistics; Problem 5.1: Count Math Courses Taken; Problem 5.2: Recode and Relabel Mother's and Father's Education; Problem 5.3: Recode and Compute Pleasure Scale Score; Problem 5.4: Compute Parents' Revised Education With the Mean Function; Problem 5.5: Check for Errors and Normality for the New Variables; Describing the Sample Demographics and Key Variables; Saving the Updated HSB Data File
Problem 7.3: Other Nonparametric Associational StatisticsProblem 7.4: Cross-Tabulation and Eta; Problem 7.5: Cohen's Kappa for Reliability With Nominal Data; Interpretation Questions; Extra Problems; 8. Correlation and Regression; Problem 8.1: Scatterplots to Check Assumptions; Problem 8.2: Bivariate Pearson and Spearman Correlations; Problem 8.3: Correlation Matrix for Several Variables; Problem 8.4: Internal Consistency Reliability With Cronbach's Alpha; Problem 8.5: Bivariate or Simple Linear Regression; Problem 8.6: Multiple Regression; Interpretation Questions; Extra Problems
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Electronic Resource UH Online Library Ebooks Not for loan
Total holds: 0

## Enhanced descriptions from Syndetics:

Description based upon print version of record.

Front Cover; IDM SPSS for Introductory Statistics; Copyright Page; Contents; Preface; 1. Variables, Research Problems, and Questions; Research Problems; Variables; Research Hypotheses and Questions; A Sample Research Problem: The Modified High School and Beyond (HSB) Study; Interpretation Questions; 2. Data Coding, Entry, and Checking; Plan the Study, Pilot Test, and Collect Data; Code Data for Data Entry; Problem 2.1: Check the Completed Questionnaires; Problem 2.2: Define and Label the Variables; Problem 2.3: Display Your Dictionary or Codebook; Problem 2.4: Enter Data

9. Comparing Two Groups With t Tests and Similar Nonparametric Tests

Interpretation QuestionsExtra Problems; 6. Selecting and Interpreting Inferential Statistics; General Design Classifications for Difference Questions; Selection of Inferential Statistics; The General Linear Model; Interpreting the Results of a Statistical Test; An Example of How to Select and Interpret Inferential Statistics; Writing About Your Outputs; Conclusion; Interpretation Questions; 7. Cross-Tabulation, Chi-Square, and Nonparametric Measures of Association; Problem 7.1: Chi-Square and Phi (or Cramer's V); Problem 7.2: Risk Ratios and Odds Ratios

Problem 2.5: Run Descriptives and Check the DataInterpretation Questions; Extra Problems; 3. Measurement and Descriptive Statistics; Frequency Distributions; Levels of Measurement; Descriptive Statistics and Plots; The Normal Curve; Interpretation Questions; Extra Problems; 4. Understanding Your Data and Checking Assumptions; Exploratory Data Analysis (EDA); Problem 4.1: Descriptive Statistics for the Ordinal and Scale Variables; Problem 4.2: Boxplots for One Variable and for Multiple Variables; Problem 4.3: Boxplots and Stem-and-Leaf Plots Split by a Dichotomous Variable

Problem 4.4: Descriptives for Dichotomous VariablesProblem 4.5: Frequency Tables for a Few Variables; Interpretation Questions; Extra Problems; 5. Data File Management and Writing About Descriptive Statistics; Problem 5.1: Count Math Courses Taken; Problem 5.2: Recode and Relabel Mother's and Father's Education; Problem 5.3: Recode and Compute Pleasure Scale Score; Problem 5.4: Compute Parents' Revised Education With the Mean Function; Problem 5.5: Check for Errors and Normality for the New Variables; Describing the Sample Demographics and Key Variables; Saving the Updated HSB Data File

Problem 7.3: Other Nonparametric Associational StatisticsProblem 7.4: Cross-Tabulation and Eta; Problem 7.5: Cohen's Kappa for Reliability With Nominal Data; Interpretation Questions; Extra Problems; 8. Correlation and Regression; Problem 8.1: Scatterplots to Check Assumptions; Problem 8.2: Bivariate Pearson and Spearman Correlations; Problem 8.3: Correlation Matrix for Several Variables; Problem 8.4: Internal Consistency Reliability With Cronbach's Alpha; Problem 8.5: Bivariate or Simple Linear Regression; Problem 8.6: Multiple Regression; Interpretation Questions; Extra Problems

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