A Handbook of Statistical Analyses using SPSS

By Vanessa C. Beddo, Frauke Kreuter. 2004

830 citations recorded by the source corpus.

A Handbook of Statistical Analyses using SPSS by Landau & Everitt (2004) and A Handbook of Statistical Analyses using Stata, Third Edition by Rabe-Hesketh & Everitt (2004) join A Handbook of Statistical Analyses using S-PLUS and SAS. The handbooks, like their predecessors, are collections of applications of statistical techniques for their corresponding software packages. The handbooks are situation-specific learning tools with clearly explained step-bystep examples that can be followed by the reader using an overlapping set of data provided on the web.1 Most chapters of the two handbooks reviewed here, revolve around a data analysis technique, span about 15 to 20 pages in length, and are easy to reference in most sections. This is what a reader would hope for when picking up a handbook. The chapters start with a research question, followed by a brief (usually between 1 and 5 page) introduction to the statistical technique used to answer the research question. However, each chapter’s primarily goal is to present a worked example that shows how the analysis is carried out in SPSS or Stata. A short interpretation of analysis results and a battery of exercises follow the initial example. Solutions to the exercises can be found in the back of the book or on the web.

Subfields: Statistics and Probability

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Citations in the corpus

Subjective Experience of Fear and the Cognitive Interpretation of Large Carnivores (2011, background): “W 32% W 19% W 17% ∗Factor loadings are reversed in relation to Armfield’s (2006) name of this dimension. inflation factors (VIFs) and the tolerances of the predictor variables (Landau & Everitt, 2004).”
Early interim 2-[18F]fluoro-2-deoxy-D-glucose positron emission tomography is prognostically superior to international prognostic score in advanced-stage Hodgkin's lymphoma: a report from a joint Italian-Danish study. (2007, methodology): “The plots were evaluated visually with the help of locally weighted regression fits (LOWESS curves).(18) All data analyses were performed using SPSS version 13.”
The Impact of the Family Background on Students’ Entrepreneurial Intentions: An Empirical Analysis (2020, methodology): “The regression coefficients were estimated based on the least-squares method [74].”