Understanding Psychology as a Science: An Introduction to Scientific and Statistical Inference

By Z. Diénès. 2008

358 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/0da919b04a393b7fa3f8bfb08122d0643422d537

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Citations in the corpus

Replicability Crisis in Social Psychology: Looking at the Past to Find New Pathways for the Future (2017, background): “Within this approach to scientific construction of knowledge, researchers should derive their hypotheses from empirically anchored theoretical systems to then be subjected to empirical tests (see Dienes, 2008, and McGuire, 1983, 1999, for a review).”
Bayesian Assessment of Null Values Via Parameter Estimation and Model Comparison (2011, unknown): “For an overview of corrections for multiple comparisons in NHST, see Maxwell and Delaney (2004, chapter 5), and for a discussion of contrasting intuitions in multiple testing, see Dienes (2011). By contrast, Bayesian analysis uses hierarchical models to express prior knowledge that data from one gro”
Bayes factor design analysis: Planning for compelling evidence (2016, background): “In this design, the sample size is increased until the desired level of evidence for H1 or H0 has been reached (see also Wald 1945; Kass & Raftery 1995; Berger et al. 1994; Dienes 2008; Lindley 1956).”
Bayesian Benefits for the Pragmatic Researcher (2016, methodology): “For books, we recommend Dienes (2008), Lee and Wagenmakers (2013), McElreath (2016), Lindley (2006) and the references therein, and we refer the reader to Etz, Gronau, Dablander, Edelsbrunner, and Baribault (submitted) for more elaborate advice.”
The Importance of Falsification in Computational Cognitive Modeling. (2017, unknown): “, trading off goodness-of-fit with complexity) compared to rival models [8,12].”
How Do I Know What My Theory Predicts? (2019, methodology): “In order to analyze interactions, Gallistel (2009) suggested taking a key simple effect as the maximum size the difference in simple effects could be, that is, as the maximum size of the interaction (see also Dienes, 2014). This idea constitutes applying the room-to-move heuristic to an interaction ”
Using Bayes to get the most out of non-significant results (2014, methodology): “(Indeed, in the latter case, a non-significant result might even somewhat favor the theory, e.g., Dienes, 2008, p. 128, as will be seen in some of the examples that follow.)”
Integrating explanation and prediction in computational social science (2021, background): “Showing that one’s preferred theory cannot be ruled out by the data is therefore an exceptionally weak test of the theory 31,32 , and hence explains much less than it appears to.”
Bayesian Versus Orthodox Statistics: Which Side Are You On? (2011, methodology): “(Note that I will not discuss confidence intervals and credibility intervals, the Bayesian equivalent to a confidence interval, in this article; see Dienes, 2008, and Kruschke 2010b, 2011, for detailed discussion and calculations.)”
Bayesian alternatives for common null-hypothesis significance tests in psychiatry: a non-technical guide using JASP (2018, background): “practical differences between these two viewpoints [3, 11, 12], but it suffices for our purposes to note that only the Bayesian framework allows us to quantify how much more likely the data are under the null hypothesis (H0) compared to the alternative hypothesis (H1), given a prior probability.”
Quantifying Support for the Null Hypothesis in Psychology: An Empirical Investigation (2018, background): “Unlike NHST, Bayes factors indicate how much the data favor one hypothesis over another (Dienes, 2008).”