Empirical Direction in Design and Analysis

By Norman H. Anderson | Go to book overview

REFERENCES

Abelson, P. H. (1983). Editorial comment on controlled drinking controversy. Science, 220, 555–556.

Abelson, R. P. (1985). A variance explanation paradox: When a little is a lot. Psychological Bulletin, 97, 129–133.

Abelson, R. P., Aronson, E., McGuire, W. J., Newcomb, T. M., Rosenberg, M. J., & Tannenbaum, P. H. (Eds.). (1968). Theories of cognitive consistency: A sourcebook. Chicago: Rand McNally.

Achen, C. H. (1986). The statistical analysis of quasi-experiments. Berkeley, CA: University of California Press.

Agresti, A. (1996). An introduction to categorical data analysis. New York: Wiley.

Akritas, M. G. (1990). The rank transform method in some two-factor designs. Journal of the American Statistical Association, 85, 73–78.

Algom, D. (Ed.). (1992). Psychophysical approaches to cognition. New York: North-Holland Elsevier Science.

Alpha-Tocopherol, Beta Carotene Cancer Prevention Study Group. (1994). The effect of vitamin E and beta carotene on the incidence of lung cancer and other cancers in male smokers. New England Journal of Medicine, 330, 1029–1035.

Anastasi, A., & Urbina, S. (1997). Psychological testing (7th ed). Upper Saddle River, NJ: Prentice Hall.

Anderson, D. R., & Well, A. D. (1975). Hale and Stevenson's failure to find a developmental trend in the effects of distraction: A floor effect. Journal of Experimental Child Psychology, 20, 363–365.

Anderson, N. H. (1959a). Education for research in psychology. American Psychologist, 14, 695–696.

Anderson, N. H. (1959b). Test of a model for opinion change. Journal of Abnormal and Social Psychology, 59, 371–381.

Anderson, N. H. (1960a). Effect of first-order conditional probability in a two-choice learning situation. Journal of Experimental Psychology 59, 73–93.

Anderson, N. H. (1960b). Statistics wins and students loses. Review of Statistical analysis in psychology and education by G. A. Ferguson. Contemporary Psychology, 5, 312 f.

Anderson, N. H. (1961a). Group performance in an anagram task. Journal of Social Psychology, 55, 67–75.

Anderson, N. H. (1961b). Scales and statiStics: Parametric and nonparametric. Psychological Bulletin, 58, 305–316.

Anderson, N. H. (1962a). Application of an additive model to impression formation. Science, 138, 817–818.

Anderson, N. H. (1962b). On the quantification of Miller's conflict theory. Psychological Review, 69, 400–414.

Anderson, N. H. (1963). Comparison of different populations: Resistance to extinction and transfer. Psychological Review, 70, 162–179.

Anderson, N. H. (1964a). An evaluation of stimulus sampling theory: Comments on Professor Estes' paper. In A. W. Melton (Ed.), Categories of human learning (pp. 129–144). New York: Academic Press.

Anderson, N. H. (1946b). Test of a model for number-averaging behavior. Psychonomic Science, 1, 191–192.

Anderson, N. H. (1965). Averaging versus adding as a stimulus-combination rule in impression formation. Journal of Experimental Psychology, 70, 394–400.

Anderson, N. H. (1968). Partial analysis of high-way factorial designs. Behavior Research Methods & Instrumentation, 1, 2–7.

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Empirical Direction in Design and Analysis
Table of contents

Table of contents

  • Title Page iii
  • Dedication v
  • Foreword vi
  • Contents vii
  • Preface xvi
  • Chapter 1 - Scientific Inference 1
  • Preface 30
  • Chapter 2 - Statistical Inference 31
  • How to Do Exercises 54
  • Exercises for Chapter 2 54
  • Preface 58
  • Chapter 3 - Elements of Analysis of Variance I 59
  • Notes 75
  • Appendix: How to Randomize 77
  • Exercises for Chapter 3 84
  • Preface 90
  • Chapter 4 - Elements of Analysis of Variance II 91
  • Notes 111
  • Exercises for Chapter 4 113
  • Preface 118
  • Chapter 5 - Factorial Design 119
  • Notes 145
  • Appendix: Hand Calculation for Factorial Design 148
  • Exercises for Chapter 5 151
  • Preface 158
  • Chapter 6 - Repeated Measures Design 159
  • Notes 177
  • Exercises for Chapter 6 181
  • Preface 188
  • Chapter 7 - Understanding Interactions 189
  • Notes 209
  • Exercises for Chapter 7 214
  • Preface 218
  • Chapter 8 - Confounding 219
  • Notes 250
  • Preface 258
  • Chapter 9 - Regression and Correlation 259
  • Notes 280
  • Exercises for Chapter 9 282
  • Preface 286
  • Chapter 10 - Frequency Data and Chi-Square 287
  • Notes 300
  • Exercises for Chapter 10 302
  • Preface 306
  • Chapter 11 - Single Subject Design 307
  • Notes 338
  • Exercises for Chapter 11 345
  • Preface 350
  • Chapter 12 - Nonnormal Data and Unequal Variance 351
  • Notes 373
  • Exercises for Chapter 12 378
  • Preface 382
  • Chapter 13 - Analysis of Covariance 383
  • Notes 395
  • Exercises for Chapter 13 397
  • Preface 400
  • Chapter 14 - Design Topics I 401
  • Notes 431
  • Exercises for Chapter 14 437
  • Preface 442
  • Chapter 15 - Design Topics II 443
  • Notes 475
  • Exercises for Chapter 15 481
  • Preface 484
  • Chapter 16 - Multiple Regression 485
  • Notes 514
  • Exercises for Chapter 16 520
  • Preface 524
  • Chapter 17 - Multiple Comparisons 525
  • Notes 546
  • Exercises for Chapter 17 548
  • Preface 550
  • Chapter 18 - Sundry Topics 551
  • Notes 589
  • Exercises for Chapter 18 596
  • Preface 602
  • Chapter 19 - Foundations of Statistics 603
  • Notes 637
  • Preface 646
  • Chapter 20 - Mathematical Models for Process Analysis 647
  • Notes 677
  • Exercises for Chapter 20 681
  • Preface 688
  • Chapter 21 - Toward Unified Theory 689
  • Notes 729
  • Exercises for Chapter 21 742
  • Preface 750
  • Chapter 22 - Principles and Tactics of Writing Papers 751
  • Notes 761
  • Preface 764
  • Chapter 23 - Lifelong Learning 765
  • Notes 780
  • Preface 782
  • Chapter 0 - Basic Statistical Concepts 783
  • Notes 803
  • Exercises for Chapter 0 805
  • Statistical Tables 808
  • References 820
  • Author Index 847
  • Subject Index 854
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