Quantitative and Statistical Research Methods: From Hypothesis to Results

Quantitative and Statistical Research Methods

This user-friendly textbook teaches students to understand and apply procedural steps in completing quantitative studies. It explains statistics while progressing through the steps of the hypothesis-testing process from hypothesis to results. The research problems used in the book reflect statistical applications related to interesting and important topics. In addition, the book provides a Research Analysis and Interpretation Guide to help students analyze research articles.

Designed as a hands-on resource, each chapter covers a single research problem and offers directions for implementing the research method from start to finish. Readers will learn how to:

• Pinpoint research questions and hypotheses
• Identify, classify, and operationally define the study variables
• Choose appropriate research designs
• Conduct power analysis
• Select an appropriate statistic for the problem
• Use a data set
• Conduct data screening and analyses using SPSS
• Interpret the statistics
• Write the results related to the problem

Quantitative and Statistical Research Methods allows students to immediately, independently, and successfully apply quantitative methods to their own research projects.

Nyckelord: Conducting Quantitative Research Hypothesis-Testing Process, Maximizing Hypothesis Decisions Power Analysis and Cases per Variables Ratios, Research Designs and Statistical Designs, Using SPSS, Diagnosing Study Data for Inaccuracies and Assumptions, Randomized Post-test Only Control Group Design using a One-Way Analysis of Variance, Randomized Pretest-Posttest Control Group Design using a Repeated-Measures, Randomized Factorial Experimental Design using a Factorial, Randomized Post-test Only Control Group Design using an Analysis of Covariance, Quasi-Experimental Designs using the Kruskal-Wallis One-Way ANOVA, Mann-Whitney U, Friedman’s Rank Test, and Wilcoxon’s Matched-Pairs Signed-Ranks test, Bivariate and Multivariate Correlation Methods using Multiple Regression Analysis