Statistics as Principled ArgumentL. Erlbaum Associates, 1995 - 221 Seiten In this illuminating volume, Robert P. Abelson delves into the too-often dismissed problems of interpreting quantitative data and then presenting them in the context of a coherent story about one's research. Unlike too many books on statistics, this is a remarkably engaging read, filled with fascinating real-life (and real-research) examples rather than with recipes for analysis. It will be of true interest and lasting value to beginning graduate students and seasoned researchers alike. The focus of the book is that the purpose of statistics is to organize a useful argument from quantitative evidence, using a form of principled rhetoric. Five criteria, described by the acronym MAGIC (magnitude, articulation, generality, interestingness, and credibility) are proposed as crucial features of a persuasive, principled argument. Particular statistical methods are discussed, with minimum use of formulas and heavy data sets. The ideas throughout the book revolve around elementary probability theory, t tests, and simple issues of research design. It is therefore assumed that the reader has already had some access to elementary statistics. Many examples are included to explain the connection of statistics to substantive claims about real phenomena. |
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05 level alternative analysis of variance argument arises articulation artifact audience effect average Bayesian behavior brash cancer causal chance chap chapter chi-square claim Cohen column concept conservative consider context contrast control group conventional correlation critical data set debate degrees of freedom discussion distribution effect size effect sizes example expected experiment experimental explanation F test factor gender given Insult group interesting investigator Journal leprechauns lore magnitude main effect manipulation MANOVA mean difference measures meta-analysis Mosteller multiple comparison null hypothesis observations omnibus test one-tailed test outcome outliers particular possible potential problems procedure Psychological Bulletin random effects model ratio rejection replication Rosenthal samples scale sciences scores significance test simple effects social facilitation Social Psychology statement statistical analysis student subjects summary surprisingness systematic Table tail task telepathy test statistic theory ticks tion topics transformation treatment Tukey two-tailed variable variation verbal yield zero