Reviews for Applied adaptive statistical methods

The average rating for Applied adaptive statistical methods based on 4 reviews is 3 stars.

Review # 1 was written on 2009-08-13 00:00:00 ktqxqtcy catuiile This is one of the entries in the Sage series, "Quantitative Applications oin the Social Sciences." The subject of this slim volume (just 82 pages long)? Analyzing nominal data. Nominal data are at the lowest end of the level of measurement. These are categorical variables, where the different categories have no numerical relationship to one another (e.g., religion, major in college, etc.). Only specific kinds of statistical techniques are appropriate for such variables. This book does a serviceable job discussing the essence of nominal data, measures of association (relationship between two variables)--including the odds ratio, the contingency coefficient, lambda, etc., and multivariate techniques (e.g., log linear models). Not the easiest reading book, but a resource for those willing to wade through the text.

Review # 2 was written on 2015-04-27 00:00:00 Hyiah Reder It seemed like a really well-organized book, great for referencing. We didn't use it very much, however, because the teacher was so thorough, herself. I'm definitely keeping it, though.

Review # 3 was written on 2009-08-13 00:00:00 Ruth Korn This is one of the entries in the Sage series, "Quantitative Applications oin the Social Sciences." The subject of this slim volume (just 82 pages long)? Analyzing nominal data. Nominal data are at the lowest end of the level of measurement. These are categorical variables, where the different categories have no numerical relationship to one another (e.g., religion, major in college, etc.). Only specific kinds of statistical techniques are appropriate for such variables. This book does a serviceable job discussing the essence of nominal data, measures of association (relationship between two variables)--including the odds ratio, the contingency coefficient, lambda, etc., and multivariate techniques (e.g., log linear models). Not the easiest reading book, but a resource for those willing to wade through the text.

Review # 4 was written on 2015-04-27 00:00:00 harry cross It seemed like a really well-organized book, great for referencing. We didn't use it very much, however, because the teacher was so thorough, herself. I'm definitely keeping it, though.