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Making It Count

The Improvement of Social Research and Theory

Stanley Lieberson

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University of California Press img Link Publisher

Geisteswissenschaften, Kunst, Musik / Pädagogik

Beschreibung

This title reexamines and reconsiders the model of empirical research underlying most empirical work. The goal is neither a whitewash nor capital punishment, but rather it is to reform and mold empirical research into an activity that contributes as much as possible to a rigorous understanding of society. Without worrying about defining science or even determining the essence of the scientific enterprise, the goal is one that pools together logical thinking and empirically determined information. One of the fundamental issues to be addressed in this volume: Are there questions currently studied that are basically unanswerable even if the investigator had ideal nonexperimental data? If so, what are the alternative questions that can be dealt with successfully by empirical social research, and how should they be approached? In the chapters ahead, it will be important to keep in mind this doctrine of the undoable. Of course, one cannot simply mutter "undoable" when a difficult obstacle is encountered, turn off the computer, and look in the want ads for a new job—or at least a new task. Instead, it means considering if there is some inherent logical reason or sociological force that makes certain empirical questions unanswerable. There are four types of undoable questions to consider: those that are inherently impossible; those that are premature; those that are overly complicated; and those that empirical and theoretical knowledge have nullified.

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Schlagwörter

social research, causality, causation, scientific theory, sociological methodology, empiricism, research questions, research assumptions, nonfiction, political science, sampling problems, social science, science, research, evaluating data, logic, selectivity, data collection, variables, sociology, quasi experiment, scientific method, scientific enterprise, nonexperimental data, boyles law, research methods, conducting research