Tables and Figures | |

Preface The Authors | |

Introduction and Overview | |

Review of Foundational Research Concepts Review of Foundational Statistical Information The Normal Distribution | |

Logical Steps of Conducting Quantitative Research: Hypothesis-Testing Process | |

Hypothesis-Testing Process | |

Maximizing Hypothesis Decisions Using Power Analysis | |

Balance between Avoiding Type I and Type II Errors | |

Research and Statistical Designs | |

Formulating Experimental Conditions Reducing the Imprecision in Measurement Controlling Extraneous Experimental Influences Internal Validity and Experimental Designs | |

Introduction to IBM SPSS | p. 20 |

The IBM SPSS Data View Screen Naming and Defining Variables in Variable View Entering Data Examples of Basic Analyses Examples of Modifying Data Procedures | |

Diagnosing Study Data for Inaccuracies and Assumptions | |

Research Example | |

Randomized Design Comparing Two Treatments and a Control Using a One-Way | |

Analysis of Variance Research Problem Study Variables Research Design Stating the Omnibus (Comprehensive) Research Question Hypothesis Testing | |

Establish the Alternative (Research) Hypothesis (Ha) Hypothesis Testing | |

Establish the Null Hypothesis (H0) Hypothesis Testing | |

Decide on a Risk Level (Alpha) of Rejecting the True H0 Considering Type I and II Errors and Power Hypothesis Testing | |

Choose Appropriate Statistic and Its Sampling Distribution to Test the H0 Assuming H0 Is True Hypothesis Testing | |

Select Sample, Collect Data, Screen Data, Compute Statistic, and Determine Probability Estimates Hypothesis Testing | |

Make Decision Regarding the H0 and Interpret Post Hoc Effect Sizes and Confidence Intervals Formula Calculations of the Study Results | |

Repeated-Treatment Design Using a Repeated-Measures Analysis of Variance Research Problem Study Variables Research Design Stating the Omnibus (Comprehensive) Research Question Hypothesis Testing | |

Establish the Alternative (Research) Hypothesis (Ha) Hypothesis Testing | |

Establish the Null Hypothesis (H0) Hypothesis Testing | |

Decide on a Risk Level (Alpha) of Rejecting the True H0 Considering Type I and II Errors and Power Hypothesis Testing | |

Choose Appropriate Statistic and Its Sampling Distribution to Test the H0 Assuming H0 Is True Hypothesis Testing | |

Select Sample, Collect Data, Screen Data, Compute Statistic, and Determine Probability Estimates Hypothesis Testing | |

Make Decision Regarding the H0 and Interpret Post Hoc Effect Sizes and Confidence Intervals Formula Calculations of the Study Results | |

Randomized Factorial Experimental Design Using a Factorial ANOVA Research Problem Study Variables Research Design Stating the Omnibus (Comprehensive) Research Question Hypothesis Testing | |

Establish the Alternative (Research) Hypothesis (Ha) Hypothesis Testing | |

Establish the Null Hypothesis (H0) Hypothesis Testing | |

Decide on a Risk Level (Alpha) of Rejecting the True H0 Considering Type I and II Errors and Power Hypothesis Testing | |

Choose Appropriate Statistic and Its Sampling Distribution to Test the H0 Assuming H0 Is True Hypothesis Testing | |

Select Sample, Collect Data, Screen Data, Compute Statistic, and Determine Probability Estimates Hypothesis Testing | |

Make Decision Regarding the H0 and Interpret Post Hoc Effect Sizes and Confidence Intervals Formula Calculations of the Study Results | |

Analysis of Covariance Research Problem Study Variables Research Design Stating the Omnibus (Comprehensive) Research Question Hypothesis Testing | |

Establish the Alternative (Research) Hypothesis (Ha) Hypothesis Testing | |

Establish the Null Hypothesis (H0) Hypothesis Testing | |

Decide on a Risk Level (Alpha) of Rejecting the True H0 Considering Type I and II Errors and Power Hypothesis Testing | |

Choose Appropriate Statistic and Its Sampling Distribution to Test the H0 Assuming H0 Is True Hypothesis Testing | |

Select Sample, Collect Data, Screen Data, Compute Statistic, and Determine Probability Estimates Hypothesis Testing | |

Make Decision Regarding the H0 and Interpret Post Hoc Effect Sizes and Confidence Intervals Formula ANCOVA Calculations of the Study Results ANCOVA Study Results | |

Randomized Control Group and Repeated-Treatment Designs and Nonparametics Research Problem Study Variables Research Design Stating the Omnibus (Comprehensive) Research Question Hypothesis Testing | |

Establish the Alternative (Research) Hypothesis (Ha) Hypothesis Testing | |

Establish the Null Hypothesis (H0) Hypothesis Testing | |

Decide on a Risk Level (Alpha) of Rejecting the True H0 Considering Type I and II Errors and Power Hypothesis Testing | |

Choose Appropriate Statistic and Its Sampling Distribution to Test the H0 Assuming H0 Is True Hypothesis Testing | |

Select Sample, Collect Data, Screen Data, Compute Statistic, and Determine Probability Estimates Hypothesis Testing | |

Make Decision Regarding the H0 and Interpret Post Hoc Effect Sizes Nonparametric Research Problem Two: Friedman's Rank Test for Correlated Samples and Wilcoxon's Matched-Pairs Signed-Ranks Test | |

Bivariate and Multivariate Correlation Methods Using Multiple Regression Analysis Research Problem Study Variables Research Method Stating the Omnibus (Comprehensive) Research Question Hypothesis Testing | |

Establish the Alternative (Research) Hypothesis (Ha) Hypothesis Testing | |

Establish the Null Hypothesis (H0) Hypothesis Testing | |

Decide on a Risk Level (Alpha) of Rejecting the True H0 Considering Type I and II Errors and Power Hypothesis Testing | |

Choose Appropriate Statistic and Its Sampling Distribution to Test the H0 Assuming H0 Is True Hypothesis Testing | |

Select Sample, Collect Data, Screen Data, Compute Statistic, and Determine Probability Estimates Hand Calculations of Statistics | |

Understanding Quantitative Literature and Research | |

Research Interpretation for Consumers Interpretation of a Quantitative Research Article | |

References Index | |

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