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Social sciences --- Research --- Statistical methods --- Longitudinal studies --- -Social sciences --- -Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- -Statistical methods --- -Research --- Behavioral sciences --- Research&delete& --- Social sciences - Research - Statistical methods --- Social sciences - Longitudinal studies
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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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Quantitative methods in social research --- Organization --- Social sciences --- #SBIB:316.334.2A15 --- #SBIB:303H12 --- Organisation --- Management --- Research --- Methodology. --- Statistical methods. --- Arbeidssociologische onderzoeksmethoden en technieken --- Methoden en technieken: sociale wetenschappen --- Methodology --- Statistical methods --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Research&delete& --- Organization - Research - Methodology --- Organization - Research - Statistical methods --- Social sciences - Statistical methods --- Social sciences - Research - Statistical methods
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This book provides an up-to-date review of commonly undertaken methodological and statistical practices that are based partially in sound scientific rationale and partially in unfounded lore. Some examples of these “methodological urban legends” are characterized by manuscript critiques such as: (a) “your self-report measures suffer from common method bias”; (b) “your item-to-subject ratios are too low”; (c) “you can’t generalize these findings to the real world”; or (d) “your effect sizes are too low.What do these critiques mean, and what is their historical basis? More Statistical and Methodological Myths and Urban Legends catalogs several of these quirky practices and outlines proper research techniques. Topics covered include sample size requirements, missing data bias in correlation matrices, negative wording in survey research, and much more
Organization --- Social sciences --- #SBIB:316.334.2A15 --- #SBIB:303H12 --- Organisation --- Management --- Research --- Methodology. --- Statistical methods. --- Arbeidssociologische onderzoeksmethoden en technieken --- Methoden en technieken: sociale wetenschappen --- Methodology --- Statistical methods --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Research&delete& --- Organization - Research - Methodology --- Organization - Research - Statistical methods --- Social sciences - Statistical methods --- Social sciences - Research - Statistical methods
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Social sciences --- Multivariate analysis --- Research --- Mathematical models --- Statistical methods --- Data processing --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Multivariate distributions --- Multivariate statistical analysis --- Statistical analysis, Multivariate --- Analysis of variance --- Mathematical statistics --- Matrices --- Research&delete& --- Social sciences - Research - Mathematical models --- Social sciences - Research - Statistical methods --- Social sciences - Research - Data processing
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Survey Methodology is becoming a more structured field of research, deserving of more and more academic attention. The SAGE Handbook of Survey Methodology explores both the increasingly scientific endeavour of surveys and their growing complexity, as different data collection modes and information sources are combined. The handbook takes a global approach, with a team of international experts looking at local and national specificities, as well as problems of cross-national, comparative survey research. The chapters are organized into seven major sections, each of which represents a stage in the survey life-cycle: Surveys and Societies Planning a Survey Measurement Sampling Data Collection Preparing Data for Use Assessing and Improving Data Quality The SAGE Handbook of Survey Methodology is a landmark and essential tool for any scholar within the social sciences.
Surveys --- Social surveys --- Social sciences --- #SBIB:303H30 --- #SBIB:303H32 --- Government surveys --- Mathematical geography --- Methodology. --- Statistical methods. --- Kwalitatieve methoden: algemeen --- Waarneming en participerende waarneming, gecontroleerde observatie, groepsdiscussie (vragenlijsten, interviews, experimenten) --- Methodology --- Research --- Statistical methods --- Umfrage. --- Empirische Sozialforschung. --- Methodologie. --- Methodenlehre --- Methodik --- Wissenschaftstheorie --- Logik --- Methode --- Empirische Soziologie --- Sozialforschung --- Soziologie --- Bevölkerungsumfrage --- Repräsentativumfrage --- Meinungsbefragung --- Meinungsumfrage --- Volksbefragung --- Befragung --- Umfragen --- Demoskopie --- Civilization --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Community surveys --- Surveys, Social --- Surveys - Methodology --- Social surveys - Methodology --- Social sciences - Research - Statistical methods
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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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Mathematical statistics --- Longitudinal method --- Medicine --- Medical sciences --- Social sciences --- Research --- Statistical methods --- 519.237 --- 303.7 --- Multivariate statistical methods --- Analysetechnieken. Statistische analyse --(sociaal onderzoek) --- 303.7 Analysetechnieken. Statistische analyse --(sociaal onderzoek) --- 519.237 Multivariate statistical methods --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Clinical sciences --- Medical profession --- Human biology --- Life sciences --- Pathology --- Physicians --- Basic medical sciences --- Basic sciences, Medical --- Biomedical sciences --- Health sciences --- Preclinical sciences --- Sciences, Medical --- Longitudinal research --- Longitudinal studies --- Methodology --- Research&delete& --- Health Workforce --- Medicine - Research - Statistical methods --- Medical sciences - Research - 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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Many economic and social surveys are designed as panel studies, which provide important data for describing social changes and testing causal relations between social phenomena. This textbook shows how to manage, describe, and model these kinds of data. It presents models for continuous and categorical dependent variables, focusing either on the level of these variables at different points in time or on their change over time. It covers fixed and random effects models, models for change scores and event history models. All statistical methods are explained in an application-centered style using research examples from scholarly journals, which can be replicated by the reader through data provided on the accompanying website. As all models are compared to each other, it provides valuable assistance with choosing the right model in applied research. The textbook is directed at master and doctoral students as well as applied researchers in the social sciences, psychology, business administration and economics. Readers should be familiar with linear regression and have a good understanding of ordinary least squares estimation.
Econometrics. --- Panel analysis. --- Social sciences -- Research -- Statistical methods. --- Panel analysis --- Econometrics --- Mathematics --- Social Sciences --- Physical Sciences & Mathematics --- Social Sciences - General --- Mathematical Statistics --- Panel studies --- Statistics. --- Social sciences. --- Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law. --- Methodology of the Social Sciences. --- Statistics for Social Science, Behavioral Science, Education, Public Policy, and Law. --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Economics, Mathematical --- Statistics --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Social sciences --- Statistics for Social Sciences, Humanities, Law. --- Methodology. --- Statistics .
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