Behavioral and Brain Sciences

Volume 21 : Issue 2

Table of Contents

• Pr;cis of Statistical significance: Rationale, validity, and utility 
  Siu L. Chow
  Page 169-194
• On the position of statistical significance in the epistemology of experimental science 
  Charles E. Boklage
  Page 195-195
• Statistical significance testing was not meant for weak corroborations of weaker theories 
  Fred L. Bookstein
  Page 195-196
• The logic of null hypothesis testing 
  Edward Erwin
  Page 197-198
• We need statistical thinking, not statistical rituals 
  Gerd Gigerenzer
  Page 199-200
• Stranded statistical paradigms: The last crusade 
  Judith Gl;uuml;ck and Oliver Vitouch
  Page 200-201
• Understanding Bayesian procedures 
  Robert A. M. Gregson
  Page 201-202
• Reconnecting data analysis and research design: Who needs a confidence interval? 
  Andrew F. Hayes
  Page 203-204
• Testing significance testing: A flawed defense 
  John E. Hunter
  Page 204-204
• The Ego has landed! The .05 level of statistical significance is soft (Fisher) rather than hard (Neyman/Pearson) 
  Lester E. Krueger
  Page 207-208
• A defense of statistical power analysis 
  Brian R. Lashley
  Page 209-210
• The critics rebutted: A Pyrrhic victory 
  Stephan Lewandowsky and Murray Maybery
  Page 210-211
• When the coefficient hits the clinic: Effect size and the size of the effect 
  Brendan Maher
  Page 211-211
• Significance tests cannot be justified in theory-corroboration experiments 
  Marks R. Nester
  Page 213-213
• Significance testing ; does it need this defence? 
  G;uuml;nther Palm
  Page 214-215
• Null-hypothesis tests are not completely stupid, but Bayesian statistics are better 
  David Rindskopf
  Page 215-216
• Meta-analysis, power analysis, and the null-hypothesis significance-test procedure 
  Joseph S. Rossi
  Page 216-217
• Significance testing in a Bayesian framework: Assessing direction of effects 
  Henry Rouanet
  Page 217-218
• Costs and benefits of statistical significance tests 
  Michael G. Shafto
  Page 218-219
• Inductive strategy and statistical tactics 
  Paul Snow
  Page 219-219
• The historical case against null-hypothesis significance testing 
  Henderikus J. Stam and Grant A. Pasay
  Page 219-220
• A plea for Popperian significance testing 
  Zeno G. Swijtink
  Page 220-221
• Significance tests: Necessary but not sufficient 
  Louis G. Tassinary
  Page 221-222
• On various methods of reporting variance 
  Bruce A. Thyer
  Page 222-223
• Statistical inference: Why wheels spin 
  William S. Verplanck
  Page 223-224
• Four reasons why the science of psychology is still in trouble 
  Kim J. Vicente
  Page 224-225
• Statistics without probability: Significance testing as typicality and exchangeability in data analysis 
  John R. Vokey
  Page 225-226
• The non-significance of straw man arguments 
  Niels G. Waller and Wesley O. Johnson
  Page 226-227
• A viable alternative to null-hypothesis testing 
  Bruno D. Zumbo
  Page 227-228
• The null-hypothesis significance-test procedure is still warranted 
  Siu L. Chow
  Page 228-235
• Linear correlates in the speech signal: The orderly output constraint 
  Harvey M. Sussman, David Fruchter, Jon Hilbert and Joseph Sirosh
  Page 241-259
• The mapping from acoustic structure to the phonetic categories of speech: The invariance problem 
  Sheila E. Blumstein
  Page 260-260
• Does locus-equation linearity really matter in consonant perception? 
  Lawrence Brancazio
  Page 261-261
• Linear correlates in the speech signal: Consequences of the specific use of an acoustic tube? 
  
  Page 261-262
• Self-learning and self-organization as tools for speech research 
  R. I. Damper
  Page 262-263
• Locus equation and hidden parameters of speech 
  Li Deng
  Page 263-264
• Locus equations: A partial solution to the problem of consonant place perception 
  Randy L. Diehl
  Page 264-264
• Differences that make a difference: Do locus equations result from physical principles characterizing all mammalian vocal tracts? 
  W. Tecumseh Fitch and Marc D. Hauser
  Page 264-265
• The orderly output constraint is not wearing any clothes 
  Carol A. Fowler
  Page 265-266
• In search of the unicorn: Where is the invariance in speech? 
  Steven Greenberg
  Page 267-268
• An account of the locus equation phenomenon based on speech movement planning 
  Frank H. Guenther
  Page 268-269
• Linearity or separability? 
  B;auml;rbel Herrnberger and G;uuml;nter Ehret
  Page 269-270
• A phonological perspective on locus equations 
  William J. Idsardi
  Page 270-271
• Are locus equations sufficient or necessary for obstruent perception? 
  Allard Jongman
  Page 271-272
• Charting speech with bats without requiring maps 
  Jagmeet S. Kanwal
  Page 272-273
• Locus equations reveal learnability 
  Keith R. Kluender
  Page 273-274
• An articulatory perspective on the locus equation 
  Bj;ouml;rn Lindblom
  Page 274-275
• Why did coarticulation evolve? 
  Ignatius G. Mattingly
  Page 275-276
• Integrating cues in speech perception 
  Dominic W. Massaro
  Page 275-275
• What can auditory neuroethology tell us about speech processing? 
  David R. Moore and Andrew J. King
  Page 276-277
• Locus equations and pattern recognition 
  Terrance M. Nearey
  Page 277-277
• Locus equation: Assumption and dependencies 
  Richard E. Pastore and Edward J. Crawley
  Page 278-279
• Feature extraction and feature interaction 
  Frank W. Ohl and Henning Scheich
  Page 278-278
• Merits of a Gibsonian approach to speech perception 
  J;ouml;rgen Pind
  Page 279-280
• On the ontogeny of combination-sensitive neurons in speech perception 
  Athanassios Protopapas and Paula Tallal
  Page 280-281
• Listening to speech in the dark 
  Robert E. Remez
  Page 281-282
• Patterns of evolution in human speech processing and animal communication 
  Michael J. Ryan, Nicole M. Kime and Gil G. Rosenthal
  Page 282-283
• Acoustic correlates and perceptual cues in speech 
  James R. Sawusch
  Page 283-284
• Input limitations for cortical combination-sensitive neurons coding stop-consonants? 
  Christoph E. Schreiner
  Page 284-284
• Locus equations in models of human classification behavior 
  Roel Smits
  Page 284-285
• Evolutionary conservation and ontogenetic emergence of neural algorithms 
  Hermann Wagner and Dirk Kautz
  Page 285-286
• Combination-sensitive neurons: A flexible neural strategy for analyzing correlated elements in sounds 
  Jeffrey J. Wenstrup
  Page 286-287
• The anomaly of the anomalous 
  Joseph Glicksohn
  Page 301-302
• Parapsychology, anomaly, and altered states of consciousness 
  John Palmer
  Page 302-303
• Science, pseudoscience, and anomaly 
  James E. Alcock
  Page 303-303
• Multilevel selection and the return of group-level functionalism 
  David Sloan Wilson and Elliott Sober
  Page 305-306