J. Simmons

Publications103
h-index30
Citations8,685
Highly Influential Citations480
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False-Positive Psychology
In this article, we accomplish two things. First, we show that despite empirical psychologists’ nominal endorsement of a low rate of false-positive findings (≤ .05), flexibility in data collection,… Expand
P-Curve: A Key to the File Drawer
Because scientists tend to report only studies (publication bias) or analyses (p-hacking) that "work," readers must ask, "Are these effects true, or do they merely reflect selective reporting?" We… Expand
Data from Paper “False-Positive Psychology: Undisclosed Flexibility in Data Collection and Analysis Allows Presenting Anything as Significant”
The data includes measures collected for the two experiments reported in “False-Positive Psychology” [1] where listening to a randomly assigned song made people feel younger (Study 1) or actually be… Expand
Algorithm aversion: people erroneously avoid algorithms after seeing them err.
Research shows that evidence-based algorithms more accurately predict the future than do human forecasters. Yet when forecasters are deciding whether to use a human forecaster or a statistical… Expand
p-Curve and Effect Size
TLDR
We use the distribution of significant p values, p-curve, to easily and effectively estimate effect sizes that correct for the selective reporting of studies. Expand
Intuitive confidence: choosing between intuitive and nonintuitive alternatives.
People often choose intuitive rather than equally valid nonintuitive alternatives. The authors suggest that these intuitive biases arise because intuitions often spring to mind with subjective ease,… Expand
The effect of accuracy motivation on anchoring and adjustment: do people adjust from provided anchors?
Increasing accuracy motivation (e.g., by providing monetary incentives for accuracy) often fails to increase adjustment away from provided anchors, a result that has led researchers to conclude that… Expand
Better P-curves: Making P-curve analysis more robust to errors, fraud, and ambitious P-hacking, a Reply to Ulrich and Miller (2015).
When studies examine true effects, they generate right-skewed p-curves, distributions of statistically significant results with more low (.01 s) than high (.04 s) p values. What else can cause a… Expand
Specification Curve: Descriptive and Inferential Statistics on All Reasonable Specifications
Empirical results often hinge on data analytic decisions that are simultaneously defensible, arbitrary, and motivated. To mitigate this problem we introduce Specification-Curve Analysis, which… Expand
Overcoming Algorithm Aversion: People Will Use Imperfect Algorithms If They Can (Even Slightly) Modify Them
TLDR
We present three studies investigating how to reduce algorithm aversion by giving people some control of a slight amount-over an imperfect algorithm's forecast. Expand
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