Experimental Design And Statistics For Psychology


Experimental Design And Statistics For Psychology
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Experimental Design And Statistics For Psychology


Experimental Design And Statistics For Psychology
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Author : Fabio Sani
language : en
Publisher: John Wiley & Sons
Release Date : 2008-04-15

Experimental Design And Statistics For Psychology written by Fabio Sani and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-04-15 with Psychology categories.


Experimental Design and Statistics for Psychology: A First Course is a concise, straighforward and accessible introduction to the design of psychology experiments and the statistical tests used to make sense of their results. Makes abundant use of charts, diagrams and figures. Assumes no prior knowledge of statistics. Invaluable to all psychology students needing a firm grasp of the basics, but tackling of some of the topic’s more complex, controversial issues will also fire the imagination of more ambitious students. Covers different aspects of experimental design, including dependent versus independent variables, levels of treatment, experimental control, random versus systematic errors, and within versus between subjects design. Provides detailed instructions on how to perform statistical tests with SPSS. Downloadable instructor resources to supplement and support your lectures can be found at www.blackwellpublishing.com/sani and include sample chapters, test questions, SPSS data sets, and figures and tables from the book.



Statistics And Experimental Design For Psychologists


Statistics And Experimental Design For Psychologists
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Author : Rory Allen
language : en
Publisher: World Scientific Publishing Company
Release Date : 2017-08-28

Statistics And Experimental Design For Psychologists written by Rory Allen and has been published by World Scientific Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-28 with Psychology categories.


This is the first textbook for psychologists which combines the model comparison method in statistics with a hands-on guide to computer-based analysis and clear explanations of the links between models, hypotheses and experimental designs. Statistics is often seen as a set of cookbook recipes which must be learned by heart. Model comparison, by contrast, provides a mental roadmap that not only gives a deeper level of understanding, but can be used as a general procedure to tackle those problems which can be solved using orthodox statistical methods. Statistics and Experimental Design for Psychologists focusses on the role of Occam's principle, and explains significance testing as a means by which the null and experimental hypotheses are compared using the twin criteria of parsimony and accuracy. This approach is backed up with a strong visual element, including for the first time a clear illustration of what the F-ratio actually does, and why it is so ubiquitous in statistical testing. The book covers the main statistical methods up to multifactorial and repeated measures, ANOVA and the basic experimental designs associated with them. The associated online supplementary material extends this coverage to multiple regression, exploratory factor analysis, power calculations and other more advanced topics, and provides screencasts demonstrating the use of programs on a standard statistical package, SPSS. Of particular value to third year undergraduate as well as graduate students, this book will also have a broad appeal to anyone wanting a deeper understanding of the scientific method. Contents: What is Science?Comparing Different Models of a Set of DataTesting Hypotheses and Recording the Result: Types of ValidityBasic Descriptive Statistics (and How Pierre Laplace Saved the World)Bacon's Legacy: Causal Models, and How to Test ThemHow Hypothesis Testing Copes with Uncertainty: The Legacy of Karl Popper and Ronald FisherGaussian Distributions, the Building Block of Parametric StatisticsRandomized Controlled Trials, the Model T Ford of ExperimentsThe Independent Samples t-Test, the Analytical Engine of the RCTGeneralising the t-Test: One-Way ANOVAMultifactorial Designs and Their ANOVA CounterpartsRepeated Measures Designs, and Their ANOVA CounterpartsAppendices:On Finding the Right Effect SizeWhy Orthogonal Contrasts are UsefulMathematical Justification for the Occam LineGlossaryFurther ReadingReferencesIndex Readership: Students of undergraduate and graduate level psychology, and academics involved in research.



Experimental Design And Statistics


Experimental Design And Statistics
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Author : Steve Miller
language : en
Publisher: Routledge
Release Date : 2005-07-25

Experimental Design And Statistics written by Steve Miller and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-07-25 with Psychology categories.


For this second edition, this best-selling textbook has been revised, the coverage of two-sample tests extended, and new sections added introducing one-sample tests, linear regression, and the product-moment correlation coefficient.



Experiment Design And Statistics In Psychology


Experiment Design And Statistics In Psychology
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Author : Colin Robson
language : en
Publisher:
Release Date : 1983

Experiment Design And Statistics In Psychology written by Colin Robson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1983 with Psychology categories.




How To Design And Report Experiments


How To Design And Report Experiments
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Author : Andy Field
language : en
Publisher: SAGE
Release Date : 2002-12-20

How To Design And Report Experiments written by Andy Field and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-12-20 with Psychology categories.


How to Design and Report Experiments is the perfect textbook and guide to the often bewildering world of experimental design and statistics. It provides a complete map of the entire process beginning with how to get ideas about research, how to refine your research question and the actual design of the experiment, leading on to statistical procedure and assistance with writing up of results. While many books look at the fundamentals of doing successful experiments and include good coverage of statistical techniques, this book very importantly considers the process in chronological order with specific attention given to effective design in the context of likely methods needed and expected results. Without full assessment of these aspects, the experience and results may not end up being as positive as one might have hoped. Ample coverage is then also provided of statistical data analysis, a hazardous journey in itself, and the reporting of findings, with numerous examples and helpful tips of common downfalls throughout. Combining light humour, empathy with solid practical guidance to ensure a positive experience overall, Designing and Reporting Experiments will be essential reading for students in psychology and those in cognate disciplines with an experimental focus or content in research methods courses.



Experiment Design And Statistical Methods For Behavioural And Social Research


Experiment Design And Statistical Methods For Behavioural And Social Research
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Author : David R. Boniface
language : en
Publisher: Routledge
Release Date : 2019-05-20

Experiment Design And Statistical Methods For Behavioural And Social Research written by David R. Boniface and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-20 with Mathematics categories.


Experiment Design and Statistical Methods introduces the concepts, principles, and techniques for carrying out a practical research project either in real world settings or laboratories - relevant to studies in psychology, education, life sciences, social sciences, medicine, and occupational and management research. The text covers: repeated measures unbalanced and non-randomized experiments and surveys choice of design adjustment for confounding variables model building and partition of variance covariance multiple regression Experiment Design and Statistical Methods contains a unique extension of the Venn diagram for understanding non-orthogonal design, and it includes exercises for developing the reader's confidence and competence. The book also examines advanced techniques for users of computer packages or data analysis, such as Minitab, SPSS, SAS, SuperANOVA, Statistica, BMPD, SYSTAT, Genstat, and GLIM.



Experimental Design In Behavioural Research


Experimental Design In Behavioural Research
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Author : Krishan D. Broota
language : en
Publisher: New Age International
Release Date : 1989

Experimental Design In Behavioural Research written by Krishan D. Broota and has been published by New Age International this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Psychology categories.


The Book Has Been Addressed To The Students And Researchers In The Disciplines Of Psychology, Education, Sociology, Social-Work, Medicine, Management, And Allied Disciplines. It Has Been Written For Those Who Do Not Possess Sophisticated Mathematical Background. Various Designs And Their Analyses Have Been Presented In Simple Understandable Language. The Intended Emphasis Is To Make The Reader Understand The Basic Principles Of Experimental Design, Layout For Data Collection, Analysis Of Data, Interpretation Of Results Of Experimental Outcome. It Offers An Integrated Approach Placing Due Emphasis On Theory, Application, And Computational Procedures. Schematic Representations Of Analysis For Each Design Is A Novel Feature Of This Book, It Makes The Analysis Simple And Easy To Comprehend. Each Design Includes General Layout For Data Collection, Schematic Representation Of The Analysis, Followed By Numerical Example With Detailed Solution And Interpretation. Numerous Illustrations, Many From Published Research, Are Provided With The Intent To Equip The Reader To Develop Insight Into The Intricacies Of Research Strategy. Special Treatment Has Been Given To Within Subject And Mixed Designs. Multivariate Analysis Of Variance, Analysis Of Covariance, And Also Analysis Of Variance By Ranks Have Been Included.



Experimental Design And Statistics


Experimental Design And Statistics
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Author : Stephen Henry Miller
language : en
Publisher:
Release Date : 1994

Experimental Design And Statistics written by Stephen Henry Miller and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Experimental design categories.




Experimental Design And Analysis For Psychology


Experimental Design And Analysis For Psychology
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Author : Herve Abdi
language : en
Publisher: Oxford University Press
Release Date : 2009-02-26

Experimental Design And Analysis For Psychology written by Herve Abdi and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-02-26 with Mathematics categories.


A complete course in data collection and analysis for students who need to go beyond the basics. A true course companion, the engaging writing style takes readers through challenging topics, blending examples and exercises with careful explanations and custom-drawn figures ensuring the most daunting concepts can be fully understood.



Understanding Statistics And Experimental Design


Understanding Statistics And Experimental Design
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Author : Michael H. Herzog
language : en
Publisher: Springer
Release Date : 2019-08-13

Understanding Statistics And Experimental Design written by Michael H. Herzog and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-13 with Science categories.


This open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings. Part I makes key concepts in statistics readily clear. Parts I and II give an overview of the most common tests (t-test, ANOVA, correlations) and work out their statistical principles. Part III provides insight into meta-statistics (statistics of statistics) and demonstrates why experiments often do not replicate. Finally, the textbook shows how complex statistics can be avoided by using clever experimental design. Both non-scientists and students in Biology, Biomedicine and Engineering will benefit from the book by learning the statistical basis of scientific claims and by discovering ways to evaluate the quality of scientific reports in academic journals and news outlets.