Research Methods: Statistics

Everything you ever wanted to know about statistics (well, sort of) -- The SPSS environment -- Exploring data -- Correlation -- Regression -- Logistic regression -- Comparing two means -- Comparing several means: ANOVA (GLM 1) -- Analysis of covariance, ANCOVA (GLM 2) -- Factorial ANOVA (GLM 3) -- Repeated-measures designs (GLM 4) -- Mixed design ANOVA (GLM 5) -- Non-parametric tests -- Multivariate analysis of variance (MANOVA) -- Exploratory factor analysis -- Categorical data.

The classroom teacher's guide to making data analysis easy is to share a tool that many educators have found helpful in initiating data-driven decision-making and results-based practice: the frequency table.

Introduction to data analysis in an evidence-based practice environment -- Frequency distributions : tabulating and displaying data -- Central tendency, variability, and relative standing -- Bivariate description : crosstabulation, risk indexes, and correlation -- Statistical inference -- T tests : testing two mean differences -- Analysis of variance -- Chi-square and other nonparametric tests -- Correlation and simple regression -- Multiple regression -- Analysis of covariance, multivariate ANOVA, and related multivariate analyses -- Logistic regression -- Factor analysis and internal consistency reliability analysis -- Missing values.

Fundamentals of Data Management -- Synthesizing your Data -- Advanced Manipulations and Problem Solving -- Other Useful References

Providing real examples and data concerning policy issues ... uses Excel and SPSS/PASW -- emphasizing importance of presentation -- focusing on conceptual understanding of statistics and graphs -- This text book is less technical than many others. -- Preface