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Learn advanced statistical techniques for analyzing complex relationships in data, including mediation models, factor analysis, and structural equation modeling.
Explore data linkage's societal impact, ethical considerations, and practical applications across the UK, with insights on civil liberties and available datasets for research.
Explore diverse research methodologies, from disability studies to big data, focusing on ethical considerations, innovative techniques, and interdisciplinary approaches in social sciences.
Explore innovative approaches to teaching research methods in the digital age, focusing on effective pedagogical strategies and methodological learning techniques.
Learn web scraping techniques to gather COVID-19 data, with practical examples and ethical considerations for responsible data collection and analysis.
Learn to perform and interpret binary logistic regression, including multivariate analysis and interactions, through a series of three concise video tutorials.
Learn to analyze ordered categorical data using ordinal logistic regression, covering introduction, multiple regression, and the proportional odds assumption.
Explore multinomial logistic regression, covering introduction and multiple regression concepts for analyzing categorical outcomes with more than two levels.
Explore cutting-edge data algorithms in social science, covering AI ethics, privacy implications, and innovative applications like deep learning for urban analysis.
Learn to analyze count data using Poisson regression models, including diagnostics, goodness of fit statistics, and residual analysis techniques.
Explore qualitative research methods, data analysis techniques, and ethical considerations. Learn about innovative approaches like problem-centered interviewing, discourse analysis, and big data integration in social sciences.
Explore quantitative data analysis techniques through expert lectures on topics like meta-analysis, cohort effects, questionnaire design, and statistical approaches to social research and policy-making.
Explore advanced Bayesian computational techniques including Metropolis Hastings, Gibbs sampling, and convergence assessment for efficient statistical analysis and modeling.
Learn advanced statistical techniques for analyzing complex hierarchical data structures, focusing on model fitting, extensions, and practical applications.
Explore agent-based modeling for social research, covering model creation, analysis, and documentation, with insights on time dynamics and data quality assessment.
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