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_c200436072 _d54284 |
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003 | TR-AnTOB | ||
005 | 20200213091842.0 | ||
007 | ta | ||
008 | 140730t20152015enkd bd 001 0 eng | ||
010 | _a 2014030207 | ||
020 |
_a9780415890052 _q(paperback) |
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020 | _z9780203830031 (ebk) | ||
035 | _a(TR-AnTOB)200436072 | ||
040 |
_aDLC _beng _erda _cDLC _dTR-AnTOB |
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041 | 0 | _aeng | |
042 | _apcc | ||
050 | 0 | 0 |
_aJA71.7 _b.G35 2015 |
084 |
_aPOL000000 _2bisacsh |
||
090 |
_aRES JA71.7 _b.G35 2015 |
||
100 | 1 |
_aGalderisi, Peter F. _eauthor _9125403 |
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245 | 1 | 0 |
_aUnderstanding political science statistics : _bobservations and expectations in political analysis / _cPeter Galderisi. |
263 | _a1502 | ||
264 | 1 |
_aNew York ; _aMilton Park, Abingdon, Oxon : _bRoutledge, _c2015. |
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264 | 4 | _c©2015 | |
300 |
_axxiii, 339 pages : _bcharts, tables ; _c24 cm |
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336 |
_atext _btxt _2rdacontent |
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337 |
_aunmediated _bn _2rdamedia |
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338 |
_avolume _bnc _2rdacarrier |
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500 | _aIncludes Glossary. | ||
504 | _aIncludes bibliographical references and index. | ||
505 | 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. |
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520 |
_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. |
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650 | 0 |
_aPolitical statistics _9125404 |
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650 | 0 |
_aPolitical science _xMethodology _929846 |
|
650 | 7 |
_aPOLITICAL SCIENCE / General. _2bisacsh |
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942 |
_2lcc _cRESERVE 1D |