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Quantitative methods in social research --- Methods in social research (general) --- Mathematical statistics --- Social sciences --- Sciences sociales --- Research --- Fieldwork --- Recherche --- Recherche sur le terrain --- Statistical methods --- #SBIB:303H510 --- #SBIB:303H520 --- Methoden sociale wetenschappen: statistische technieken, algemeen --- Methoden sociale wetenschappen: techniek van de analyse, algemeen --- Social sciences - Research - Statistical methods --- Social sciences - Research --- Social sciences - Fieldwork
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A concise, introductory text, Propensity Score Methods and Applications describes propensity score methods (PSM) and how they are used to balance the distributions of observed covariates between treatment conditions as a means to reduce selection bias. This new QASS title specifically focuses on the procedures of implementing PSM for research in social sciences, instead of merely demonstrating the effectiveness of the method. Using succinct and approachable language to introduce the basic concepts of PSM, authors Haiyan Bai and M. H. Clark present basic concepts, assumptions, procedures, available software packages, and step-by-step examples for implementing PSM using real-world data, with exercises at the end of each chapter allowing readers to replicate examples on their own.
Social sciences --- Analysis of variance --- Research --- Statistical methods --- ANOVA (Analysis of variance) --- Variance analysis --- Mathematical statistics --- Experimental design --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Research&delete& --- #SBIB:303H10 --- #SBIB:303H520 --- Methoden en technieken: algemene handboeken en reeksen --- Methoden sociale wetenschappen: techniek van de analyse, algemeen --- Quantitative methods in social research --- Analysis of variance. --- Statistical methods. --- Social sciences - Research - Statistical methods
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This focuses on models and data that arise from repeated observations of a cross-section of individuals, households or companies. These models have found important applications within business, economics, education, political science and other social science disciplines. The author introduces the foundations of longitudinal and panel data analysis at a level suitable for quantitatively oriented graduate social science students as well as individual researchers. He emphasizes mathematical and statistical fundamentals but also describes substantive applications from across the social sciences, showing the breadth and scope that these models enjoy. The applications are enhanced by real-world data sets and software programs in SAS and Stata.
AA / International- internationaal --- 305.971 --- Speciale gevallen in econometrische modelbouw. --- Longitudinal method. --- Panel analysis. --- Social sciences --- Mathematical models. --- Research --- Statistical methods. --- Longitudinal method --- Panel analysis --- Statistical methods --- Mathematical models --- -Longitudinal method --- -Social sciences --- -#SBIB:303H520 --- Panel studies --- Longitudinal research --- Longitudinal studies --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- -Statistical methods --- Methoden sociale wetenschappen: techniek van de analyse, algemeen --- #SBIB:303H520 --- Statistics --- Methodology --- Civilization --- Research&delete& --- Quantitative methods in social research --- Mathematical statistics --- Speciale gevallen in econometrische modelbouw --- Social sciences. --- Statistics - General --- Social Sciences --- HA 29 Theory and method of social science statistics - General works --- Mathematical Sciences --- Probability --- Social sciences - Research - Statistical methods --- Social sciences - Mathematical models --- Social sciences - Statistical methods
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