04016cam 2200445 i 4500999002100000001001000021003000900031005001700040007000300057008004100060010001700101020003100118020002400149035002400173040003300197041000800230042000800238050002200246084002300268090002600291100004000317245012200357263000900479264006600488264001100554300004800565336002600613337002800639338002700667500002300694504005100717505080600768520156701574650003303141650004203174650004203216942002003258952014403278952014803422 c200436072d54284200436072TR-AnTOB20200213091842.0ta140730t20152015enkd bd 001 0 eng a 2014030207 a9780415890052q(paperback) z9780203830031 (ebk) a(TR-AnTOB)200436072 aDLCbengerdacDLCdTR-AnTOB0 aeng apcc00aJA71.7b.G35 2015 aPOL0000002bisacsh aRES JA71.7b.G35 20151 aGalderisi, Peter F.eauthor912540310aUnderstanding political science statistics :bobservations and expectations in political analysis /cPeter Galderisi. a1502 1aNew York ;aMilton Park, Abingdon, Oxon :bRoutledge,c2015. 4cĂ2015 axxiii, 339 pages :bcharts, tables ;c24 cm atextbtxt2rdacontent aunmediatedbn2rdamedia avolumebnc2rdacarrier aIncludes Glossary. aIncludes bibliographical references and index.0 tPolitical science, the scientific method, and statistical analysis: An overview --tHow do we measure and observe? --tCentral tendency as summary observation --tDispersion/Variation/Goodness of fit as summary observation --tStandardized scores and normal distributions: The concept of relative observation --tAn intuitive introduction to inference and hypothesis testing --tHypothesis testing and the concept of association: Observations and expectations about the difference between means --tInferential statistics for proportions -- tMeasuring association for nominal and ordinal data --tResearch design and the use of control variables --tDifferent by how much? Linear regression --tRetracing our methodological steps: Hypotheses, multiple regression, and the efffects of third variables. a"Any student can learn the basic concepts of statistics if they are introduced as solutions to particular problems, and not formulas with a life of their own. In this text, students are introduced to a problem, asked to consider, conceptually, how one would address that problem, and then led through the derivation of the appropriate statistical formula. This applied method of teaching statistics through political science examples allows students to see the research method as problem solving. They learn the math, but only after they learn the concepts and methodological considerations that give the math context. The concepts throughout are presented through the lens of "observations and expectations," applied to myriad statistical techniques, both descriptive and inferential, as well as more generalized concepts of research methodology itself, such as hypothesis testing. Galderisi highlights that with each advance in technical sophistication, each statistical procedure is built on a small set of basic concepts, such as the reasons for standardization, the effects of outliers, or the concept of proportional reduction of error, to show that they are cumulative. More important than just memorizing a series of formula, this text emphasizes the underlying logic of statistical analysis for greater understanding. Further, the applications and examples drawn from political science (including law) allow students to better see how they can apply these concepts and techniques in their own research and in future coursework"--cProvided by publisher. 0aPolitical statistics9125404 0aPolitical sciencexMethodology929846 7aPOLITICAL SCIENCE / General.2bisacsh 2lcccRESERVE 1D 00102lcc40708RESa1b1cRESd2019-07-18e1g406.89l5oRES JA71.7 .G35 2015p0060090r2019-10-15s2019-10-15t1w2019-07-31yRESERVE 1D 00102lcc40708RESa1b1cRESd2019-07-18e1g406.89l3oRES JA71.7 .G35 2015 c.2p0060091r2019-10-17s2019-10-15t2w2019-08-02yRESERVE 1D