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P Values are not Error ProbabilitiesRaymond Hubbard College of Business and Public Administration Drake University Des Moines, IA 50311 Phone: (515) 271-2344 Fax: (515) 271-4518 E-mail: Raymond.Hubbard@drake.edu and M.J. Bayarri Department of Stati
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#169In L. L. Harlow, S. A. Mulaik, & J. H. Steiger (Eds.), What If There Were No Significance Tests? (pp. 393425) Mahwah, NJ : Erlbaum, 1997.Chapter 14The Problem Is Epistemology, Not Statistics: Replace Significance Tests by Confidence Interval
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Bayesian Analysis (2008)3, Number 1, pp. 161170R. A. Fisher on Bayes and Bayes' TheoremJohn AldrichAbstract. Ronald Fisher believed that "The theory of inverse probability is founded upon an error, and must be wholly rejected." This note desc
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Annu. Rev. Psychol. 1998. 49:25987 Copyright 1998 by Annual Reviews Inc. All rights reservedBIASES IN THE INTERPRETATION AND USE OF RESEARCH RESULTSRobert J. MacCounRichard and Rhoda Goldman School of Public Policy, University of California, Ber
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STRUCTURAL EQUATION MODELING, 8(1), 128141 Copyright 2001, Lawrence Erlbaum Associates, Inc.TEACHERS CORNERA Primer on Maximum Likelihood Algorithms Available for Use With Missing DataCraig K. EndersSchool of Education University of MiamiMax
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Psychological Methods 2008, Vol. 13, No. 3, 272277Copyright 2008 by the American Psychological Association 1082-989X/08/$12.00 DOI: 10.1037/a0013158An Inferential Confidence Interval Method of Establishing Statistical Equivalence That Corrects Tr
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QUANTITATIVE METHODS IN PSYCHOLOGY Using Significance Tests to Evaluate Equivalence Between Two Experimental GroupsJames L. Rogers, Kenneth I. Howard, and John T. VesseyEquivalency testing, a statistical method often used in biostatistics to determ
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Psychological Bulletin 1985, Vol 97. No. 1. 129-133Copyright 1985 by the Am1 Psychological Association, Inc. 0033-2909/85/W0.75A Variance Explanation Paradox: When a Little is a LotRobert P. Abelson Yale UniversityConcerning a single major le
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On the Adaptive Control of the False Discovery Rate in Multiple Testing with Independent Statistics Yoav Benjamini; Yosef Hochberg Journal of Educational and Behavioral Statistics, Vol. 25, No. 1. (Spring, 2000), pp. 60-83.Stable URL: http:/links.js
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27British Journal of Mathematical and Statistical Psychology (2002), 55, 2739 2002 The British Psychological Society www.bps.org.ukControlling the rate of Type I error over a large set of statistical testsH.J. Keselman1*, Robert Cribbie1 and Bu
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A Bluffer's Guide to . SphericityAndy Field University of SussexThe use of repeated measures, where the same subjects are tested under a number of conditions, has numerous practical and statistical benefits. For one thing it reduces the error var
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Psychological Bulletin 1988, Vol. 104, No. 3, .196-404Copyright 1988 by the American Psychological Association, Inc. 0033-2909/88/$00.75Heterogeneity of Variance in Experimental Studies: A Challenge to Conventional InterpretationsAnthony S. Bryk
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Examining Multivariate NormalityTo test for multivariate normality:Help file at: http:/rss.acs.unt.edu/Rdoc/library/mvnormtest/html/mshapiro.test.htmlFor example.10 columns of 1000 rows of random normal deviates: library(mvnormtest) mshapiro.tes
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Multivariate Behavioral Research, 1987,22,267-305A Brief History of the Philosophical Foundations of Exploratory Factor AnalysisStanley A. MulaikGeorgia Institute of TechnologyExploratory factor analysis derives its key ideas from Inany sources
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Methods in PsychiatryFinding Our Way: An Introduction to Path AnalysisDavid L Streiner, PhD'Path analysis is an extension of multiple regression. It goes beyond regression in that it allows for the analysis of more complicated models. In particul
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Resampling methods: concepts, applications, and justification. Yu, .http:/pareonline.net/getvn.asp?v=8&n=19Yu, Chong Ho (2003). Resampling methods: concepts, applications, and justification. Practical Assessment, Research & Evaluation, 8(19). Ret
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THESCIENCEOF PSYCHOLOGYWhat are the aims of science and what place has psychology and statistics within it?Outline Howdowecometoknowanything? DefiningScience Characteristics ObjectivesandTechniques PhilosophicalIssues:Howdoesscienceproceed?
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MORE ON THE SCIENCE OF PSYCHOLOGYMore thoughts from MikeThe public's perspective Early on (and I mean way back) science made bold claims and spoke in absolute terms However, the only thing that was consistently discovered was that there w
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Additional ThoughtsCompeting ideas != competing truths The theories regard the truth but are not the truth itself Truths, by definition cannot compete with one another. You cannot have A and not A both be true. Taking context into consideration
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MORE ON THE SCIENCE OF PSYCHOLOGYDevelopment and Testing of Research IdeasOutlineDoing research The Role of Ideas Development Theories and Hypotheses Theories vs. Facts Clear Ideas Previews: Hypothesis Testing, Power, Effect Size, Repli
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Measurement ErrorWhatever measurement we might make with regard to somepsychological construct, we do so with some amount of error Any observed score for an individual is their true score with error addedinThere are different types of " error
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Initial Data AnalysisDISTINCTIONSSome DistinctionsPopulation vs. Sample Descriptive vs. Inferential stats Variables Types of data Quantitative versus Categorical Measurement scalesPopulationThe entire collection of events that you are in
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Initial Data AnalysisBeginning the Visualization of DataPlotting DataOften, the first thing one does with data is to plot frequency distributions. Usually this is done by first creating a table of the frequencies broken down by values of the re
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Initial Data AnalysisCentral TendencyOutline What is `central tendency'? Classic measuresMean, Median, ModeWhat's an `average'? Properties of statistics Sufficiency Efficiency Bias ResistanceResistant measuresMeasures of Centr
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Central TendencyMechanicsNotation When we describe a set of data corresponding to the values of some variable, we will refer to that set using an uppercase letter such as X or Y. When we want to talk about specific data points within that set, w
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Measuresofvariability:understandingthe complexityofnaturalphenomena Inadditiontoknowingwherethecenterofthedistributionis,itis oftenhelpfultoknowthedegreetowhichindividualvaluescluster aroundthecenter(orperhapsdont) Thisisknownasvariability,
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Variability MechanicsThe Average Deviation Another approach to estimating variance is to directly measure the degree to which individual data points differ from the mean and then average those deviations. That is:(X - X ) NThe Average Deviati