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Understanding Psychology as a Science
Erhältlich:Nicht auf LagerBuch (Softcover): Sachbuch

Understanding Psychology as a Science

An Introduction to Scientific and Statistical Inference

von Zoltan Dienes

Unsere Artikel-Nr.
MER3RE2
EAN
9780230542310

Beschreibung

How can we objectively define categories of truth in scientific thinking. How can we reliably measure the results of research. In this ground-breaking text, Dienes undertakes a comprehensive historical analysis of the dominant schools of thought, key theories and influential thinkers that have progressed the foundational principles and characteristics that typify scientific research methodology today. This book delivers a masterfully simple, ‘though not simplistic’, introduction to the core arguments surrounding Popper, Kuhn and Lakatos, Fisher and Royall, Neyman and Pearson and Bayes. Subsequently, this book clarifies the prevalent misconceptions that surround such theoretical perspectives in psychology today, providing an especially accessible critique for student readers. This book launches an informative inquiry into the methods by which psychologists throughout history have arrived at the conclusions of research, equipping readers with the knowledge to accurately design and evaluate their own research and gain confidence in critiquing results in psychology research. Particular attention is given to understanding methods of measuring the falsifiability of statements, probabilities and the differing views on statistical inference. An illuminating book for any undergraduate psychology student taking courses in critical thinking, research methods, BPS’s core area ‘conceptual and historical issues’ as well as those studying masters, phd’s and experienced researchers.

Spezifikationen

SpracheEnglisch
AutorZoltan Dienes
ZielgruppeLower undergraduate
Erscheinungsjahr2008
FormatBuch (Softcover)
Anzahl Seiten184

Inhaltsverzeichnis

Karl Popper and Demarcation
Kuhn and Lakatos: Paradigms and Programmes
Neyman, Pearson and Hypothesis Testing
Bayes and the Probability of Hypotheses
Fisher and the Likelihood: The Royall Road to Evidence.

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