Reference Papers

(Some of the entries are manuscripts, tutorials, or notes, rather than papers.)

METHODS

American Statistical Association's Statement on p values.

Signal Detection Theory

• Calculation of signal detection theory measures

• Interactive Signal Detection Demo

• ROC Curve Generator

• Correction for extreme hit rates and false alarm rates

• Signal detection analysis of 2-alternative forced choice data

Reaction Time

• Throughput: A simple performance index with desirable characteristics

Analysis of Correlations

• t test to assess whether a correlation coefficient is significantly different from zero

• How to compare two correlations (notes and web links)

• Comparison of tests of equality of dependent correlation coefficients

• Spearman correlation coefficients, Differences between 

Myers, L, & Siriois, M. J. (2006). Spearman correlation coefficients, Differences between. In Encyclopedia of statistical Sciences.  In S. Kotz, S., C. B. Read, N. Balakrishnan, & B. Vidakovic (eds.), Encyclopedia of statistical sciences. New York: Wiley. doi: 10.1002/0471667196.ess5050.pub2

• Estimating Pearson's correlation coefficient with a bootstrap

Permutation Tests

• Anderson, R. B. (2013) Conceptual Distinction Between the Critical p Value and the Type I Error Rate in Permutation Testing

• Good, P. I. (2002) Extensions of the concept of exchangeability and their applications. Journal of Modern Applied Statistical Methods, 1, 243-247.

• Randomization tests and the equality of variance assumption when comparing group means

• Randomization tests and the unequal N / unequal variance problem

• Why permutation tests are superior to t and f tests in biomedical research

• Construction of permutation tests

• Testing the significance of a correlation with nonnormal data: Comparison of Pearson, Spearman, transformation, and resampling approaches

• Permutation tests for univariate or multivariate analysis of variance and regression

• Permutation tests for multifactorial analysis of variance

Analysis of Variance and t Tests

• The Concise Encyclopedia of Statistics

• The importance of the normality assumption in large public data sets 

  • • (demonstrates that t tests and regression do not require normal distribution) 

• Colloquy: Should Familywise Alpha Be Adjusted? Against Familywise Alpha Adjustment

Measurement Scales

• Single-item versus multiple-item measurement scales: An empirical comparison

Bayesian Probability

• A tutorial on a practical Bayesian alternative to null-hypothesis significance testing

• How Bayes factors change scientific practice

• Decision Qualities of Bayes Factor and p Value-Based Hypothesis Testing

• Bayesians and frequentists

• Bayesian versus frequentist inference (Wagenmakers et al)

• Why frequentists and Bayesians need each other

Publication Bias

• An exploratory test for an excess of significant findings

• Too good to be true: Publication bias in two prominent studies from experimental psychology

Statistical Power

• Cohen, J. (1992). Statistical power analysis. Current Directions in Psychological Science, 1(3), 98–101. https://doi-org.ezproxy.bgsu.edu/10.1111/1467-8721.ep10768783 

• A Power Primer (Cohen, 1992)

• The abuse of power: The pervasive fallacy of power calculations for data analysis

Removable Interactions

• • • • • Wagenmakers, E.-J., Krypotos, A.-M., Criss, A. H., & Iverson, G. (2012). On the interpretation of removable interactions: A survey of the field 33 years after Loftus. Memory & Cognition, 40(2), 145–160. https://doi.org/10.3758/s13421-011-0158-0 

COGNITION RESEARCH

Memory

• Response bias in recognition memory as a cognitive trait

• Cognitive Processes in Associative and Categorical Priming: A Diffusion Model Analysis

Perception of Correlation

• Through a narrow window: Working memory capacity and the detection of covariation

• Through a narrow window: Sample size and the perception of correlation

• Hertwig, R., & Pleskac, T. J. (2010). Decisions from experience: Why small samples? Cognition, 115, 225-237. doi:10.1016/j.cognition.2009.12.009

• The illusion of predictability: How regression statistics mislead experts

•  Prediction and judgment as indicators of sensitivity to covariation of continuous variables

• Intuitive covariation estimation

• Optimal responding in multiple-cue probability learning (1965) 

• Insight and strategy in multiple-cue probability learning [binary variables]

• Adaptive changes between cue abstraction and exemplary memory in s multiple-cue judgment task with continuous cues

• Informal Covariation Assessment: Data-based versus Theory-based judgments (1982)

Social Cognition

• Shooter Bias

  1. 1. • The Police Officer's Dilemma: Using Ethnicity to Disambiguate Potentially Threatening Individuals

• Implicit Association

  1. • • Measuring individual differences in implicit cognition: The implicit association test

       • Implicit measures in social cognition research: Their meaning and use

       • Implicit Social Cognition: From measures to mechanisms

       • Attitudinal dissociation: What does it mean?

       •  Paper-and-Pencil IAT

• • • • A paper-format group performance test for measuring the implicit association of target concepts [Behavior Research Methods 2008, 40 (2), 546-555 doi: 10.3758/BRM.40.2.546]

      • Evaluating implicit sentiments for sinners and sins: a cross-cultural investigation

        •  Web link to online implicit association experiments (Harvard University)

Decision Making

• • • • A comparison of cumulative voting and generalized plurality voting

      • Majority judgment: measuring, ranking, and electing

      • Instant-Runoff, Ranked-Choice Voting

      • Liu, C. J., & Hao, F. (2011). An application of a dual-process approach to decision making in social dilemmas. The American Journal of Psychology, 124, 203-212

      • Glöckner, A., & Witteman, C. (2010). Beyond dual-process models: A categorisation of processes underlying intuitive judgement and decision making.  Thinking & Reasoning, 16, 1-25.

      • Evans, J. St. B. T. (2008). Dual-processing accounts of reasoning, judgment, and social cognition. Annual Review of Psychology, 59, 255-278.

      • Evaluating the coherence of Take-the-best in structured environments

      • Using alien coins to test whether simple inference is Bayesian. 

      • Win-stay, lose-sample: A simple sequential algorithm for approximating Bayesian inference. 

      • Base-rate respect: From ecological rationality to dual processes.

      • Semantic cross-scale numerical anchoring

      • Kühberger, A., & Gradl, P. (2013). Choice, rating, and ranking: Framing effects with different response modes. Journal of Behavioral Decision Making, 26(2), 109–117. https://doi-org.ezproxy.bgsu.edu/10.1002/bdm.764

Thinking and Reasoning

• • • • Dual processing accounts of reasoning, judgment, and social cognition

      • Assessing the belief bias effect with ROCs: It's a response bias effect

      • Trippas, D., Handley, S. J., & Verde, M. F. (2013). The SDT Model of Belief Bias: Complexity, Time, and Cognitive Ability Mediate the Effects of Believability. Journal Of Experimental Psychology: Learning, Memory, And Cognition, doi:10.1037/a0032398

      • The source of belief bias effects in syllogistic reasoning

      • Falsifying mental models: Testing the predictions of theories of syllogistic reasoning

      • Perceptions of randomness: Why three heads are better than four

      • On the relative independence of thinking biases and cognitive ability 

      • Heuristics and biases as measures of critical thinking: Associations with cognitive ability and thinking dispositions

      • Individual differences in thinking, reasoning, and decision making

      • Individual differences in rational thought

Misc.

• • • • Chun, J. S., & Larrick, R. P. (2022). The power of rank information. Journal of Personality and Social Psychology, 122(6), 983–1003. https://doi.org/10.1037/pspa0000289