The Philosophy of Quantitative MethodsThe Philosophy of Quantitative Methods focuses on the conceptual foundations of research methods within the behavioral sciences. In particular, it undertakes a close philosophical examination of a variety of quantitative research methods that are prominent in (or relevant for) the conduct of research in these fields. By doing so, the deep structure of these methods is examined in order to overcome the non-critical approaches typically found in the existing literature today. In this book, Brian D. Haig focuses on the more well-known research methods such as exploratory data analysis, statistical significant testing, Bayesian confirmation theory and statistics, meta-analysis, and exploratory factor analysis. These methods are then examined with a philosophy consistent of scientific realism. In addition, each chapter provides a helpful Further Reading section in order to better assist the reader in extending their own thinking and research methods specific to their needs. |
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abductive inference abductive method abductive theory alternative analytic assessments Bayes factor Bayes's theorem Bayesian confirmation theory Bayesian statistical behavioral sciences Behrens best explanation bootstrap causal chapter claims coherence common cause conception confirmatory data analysis construction correlated critical empirical phenomena employed ence error error-statistical approach error-statistical perspective error-statistical philosophy evaluation evidence explanatory theories Exploratory Data Analysis exploratory factor analysis Fisher frequentist Gelman and Shalizi Glass Haig hypoth hypothetico-deductive method important inductive inquiry involves Journal knowledge latent variables literature manifest variables Mayo meta-analysis methodology Mulaik nature neo-Fisherian Neyman and Pearson NHST null hypothesis phenomena detection philosophy of science philosophy of statistics principle prior probabilities problem provides psychological research psychology quantitative realist reasoning relevant replication research methods role scientific inference scientific method scientists significance testing social Sohn Spanos statistical inference statistical methods studies tests of statistical theory of scientific thinking tion tive ToSS Tukey Tukey's understanding University Press