The Sage Dictionary of Quantitative Management Research
(Sprache: Englisch)
Electronic Inspection Copy available for instructors hereA must-have reference resource for quantitative management researchers, the Dictionary contains over 100 entries...
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Electronic Inspection Copy available for instructors hereA must-have reference resource for quantitative management researchers, the Dictionary contains over 100 entries covering the fundamentals of quantitative methodologies; covering both analysis and implementation and examples of use, as well as detailed graphics to aid understanding.Every entry features:
-An introduction to the topic,
-Key relevant features,
-A worked example,
-A concise summary and a selection of further reading suggestions
-Cross-references to associated concepts within the dictionary
Inhaltsverzeichnis zu „The Sage Dictionary of Quantitative Management Research “
IntroductionA/B Split TestingAnalytic Hierarchy ProcessAssociation and Causation in Quantitative ResearchAssociation Rule MiningBass ModelCanonical CorrelationChaos TheoryClassification and Ranking Belief SimplexClustering AlgorithmsCluster AnalysisCoding Conventions for Representing InformationConceptual EquivalenceConfidence IntervalsConjoint AnalysisConstruct Operationalization Review (CORE)Correlation AnalysisCorrespondence AnalysisCross-National/Cultural ComparisonsCross-Sectional DesignsData Envelopment Analysis in ManagementData MiningData Set StructureData TransformationDempster-Shafer TheoryDesigning ExperimentsDiscriminant AnalysisDominance AnalysisDS/AHPDummy Variable CodingEvent Studies MethodologyEvaluation ResearchExperimental DesignExploratory or Confirmatory Factor AnalysisFactor AnalysisFuzzy Decision TreesFuzzy SetsFuzzy Time Series ModelsGeneralized Linear Mixed ModelsGeneralized Linear ModelsGeodemographicsGeographical Information SystemsGrowth ModelsIntraclass Correlation CoefficientInternal and External ValidityItem Response TheoryItem Response Theory for ManagementLatent Segments AnalysisLatent Variable ModelsLogical Discriminant ModelsLogistic Growth ModelLogistic RegressionLogistic Spline ModelMeasurement ReliabilityMeasurement Invariance in Multigroup ResearchMeasurement ScalesModerator-Mediator Variable DistinctionMixture ModelsMulti-Attribute Utility/Value TheoryMultidimensional ScalingMultilevel ModelsMulti-Logistic Growth ModelMultinomial Logistic RegressionMulti-State ModellingNon-Parametric Measures of AssociationOptimal Control Models in ManagementOrdinary Least-Squares RegressionPanel DesignPaper Versus Electronic SurveysParametric TestsPartial CorrelationPrincipal Components AnalysisProgramme EvaluationPROMETHEE Method of Ranking AlternativesProportional Odds ModelQuantile EstimatorsQuantile Estimators - Bootstrap Confidence IntervalsRasch Model for MeasurementReceiver Operating CharacteristicResponse Styles in Cross-National
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ResearchRetail Site SelectionSampling Equivalence in Cross-National ResearchSample Size for ProportionsSample Sizes Versus Usable ObservationsSelf-Organizing MapsSingle-Case Research DesignsSingle-Case Single-Baseline DesignsSngle-Case Multiple-Baseline DesignsSimulation - Discrete EventSimulation - MethodologyStructural Equation Modelling in Business ManagementStructural Equation Modelling in Marketing - Part 1: Introduction and Basic ConceptsStructural Equation Modelling in Marketing - Part 2: Model CalibrationStructural Equation Modelling in Marketing - Part 3: An ExampleStudy DesignSurvey DesignTabu SearchTesting a Simple HypothesisValidityVariable Precision Rough SetsVoronoi DiagramsWeb SurveysIndex
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Autoren-Porträt von Luiz Moutinho
Luiz Moutinhois Foundation Chair of Marketing at the Department of Management, University of Glasgow Graeme's teaching and research interests are broadly in the area of methodology and data analysis. His PhD was a study into the acquisition of complex syntax in children and since then he has worked on a number of projects from a wide range of research areas including the conversational behaviour of children, interviewing techniques used on child witnesses, alcohol use in the workplace, the application of knowledge-based expert systems, the application of generalized linear models in predictive modelling, multi-level analysis of data related to Inclusion and Pupil achievement, an assessment of the Early Support Project (DfES) and a project investigating mathematically demanding F and HE programmes.
Bibliographische Angaben
- Autor: Luiz Moutinho
- 2011, 344 Seiten, Maße: 17,4 x 24,3 cm, Kartoniert (TB), Englisch
- Herausgegeben: Luiz A. M. Moutinho, Graeme D. Hutcheson
- Verlag: SAGE PUBN INC
- ISBN-10: 1412935296
- ISBN-13: 9781412935296
Sprache:
Englisch
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