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This course provides the full range of knowledge and skills needed to conduct experimental research in psychology as well as other social sciences and education. The main focus is on the concepts and procedures of the quantitative methods and approaches (e.g., ANOVA and related statistical analysis techniques) especially applicable for conducting analysis in experimental research. These quantitative methods as the analytical tools for experimentation will be integrated with experimental design considerations, which serves as the methodological architecture for conducting experiments and quasi-experiments in psychology and other social sciences. This integrated approach is both cost effective and learning effective because these quantitative methods are both statistical knowledge and research design knowledge. Within this integrated framework, topics covered include introductory statistics and the between-, within-, mixed-, factorial, nested-, and repeated-designs and appropriate analytical strategies.
This book surveys statistical techniques commonly used in the behavioral and social sciences, especially psychology and education. The beginning chapter introduces the basic concepts of selecting a statistical procedure. The following chapters deal with topics such as describing the exploring data, the normal distribution, sampling distributions and hypothesis testing, basic concepts of probability, categorical data and chi-square, hypothesis tests applied to means, power, correlation and regression, alternative correlational techniques, simple analysis of variance, multiple comparisons among treatment means, factorial analysis of variance, repeated-measures designs, multiple regression, analyses of variance and covariance as general linear models, meta-analysis and single-case designs, resampling and nonparametric approaches to data.
