02606nam a22003135i 450000100090000000300050000900500170001400800410003101000170007202000180008904000290010704200080013605000240014408200210016810000310018924500930022026300090031326400320032230000500035433600260040433700280043033800270045850400520048550506200053752009910115765000490214865000570219770000380225422030228CSPC20250328170815.0210510s2021    cau           000 0 eng    a  2021938771  a9781446269817  aDLCbengerdacDLCdCSPC  apcc04aQA276 b.A5997 202204a001.4226bAn226p1 aAndersen, Robert,eauthor.10aPresenting statistical results effectively /cRobert Andersen and David A. Armstrong II.  a2112 1aLos Angeles :bSAGE,c2022.  axxvi, 424 pages : billustrations ; c25 cm.   atextbtxt2rdacontent  aunmediatedbn2rdamedia  avolumebnc2rdacarrier  aIncludes bibliographical references and index. 0 aSome foundation -- General principles of effective presentation -- Best practices for graphs and tables -- Methods for visualizing distributions -- Exploring and describing relationships -- The linear model -- The linear regression model -- Assessing the impact and importance of multi-category explanatory variables -- Identifying and handling problems in linear models -- Modelling and presentation of curvilinear effects -- Interaction effects in linear models -- The generalized linear model and extensions -- Generalized linear models -- Categorical dependent variables -- Conclusions and recommendations.       a"Perfect for any statistics student or researcher, this book offers hands-on guidance on how to interpret and discuss your results in a way that not only gives them meaning, but also achieves maximum impact on your target audience. No matter what variables your data involves, it offers a roadmap for analysis and presentation that can be extended to other models and contexts. Focused on best practices for building statistical models and effectively communicating their results, this book helps you: - Find the right analytic and presentation techniques for your type of data - Understand the cognitive processes involved in decoding information - Assess distributions and relationships among variables - Know when and how to choose tables or graphs - Build, compare, and present results for linear and non-linear models - Work with univariate, bivariate, and multivariate distributions - Communicate the processes involved in and importance of your results"--cProvided by publisher. 0aResearch methods & evaluationxQuantitative. 0aStatistical researchxResearch methods & evaluation.1 aArmstrong, David A., II,eauthor.