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🟢 no problems detected;
🟡 something to check;
🔴 possible problems detected;
🔵 informational only;
⚪️ not applicable;
⚫️ check failed

Exact P-Values

You may have reported some imprecise p-values

text p_comp p_value section div p s
p > .05 > 0.05 results 3 2 2

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Marginal Significance

You described effects as marginally/borderline/close to significant. It is better to write ‘did not reach the threshold alpha for significance’.

text section div p s
The paper shows examples of (1) open and closed OSF links; (2) citation of retracted papers; (3) missing/mismatched citations and references; (4) imprecise reporting of p-values; and (5) use of “marginally significant” to describe non-significant findings. abstract 0 1 3
On average researchers in the experimental condition found the app marginally significantly more useful (M = 5.06) than researchers in the control condition found the checklist (M = 4.5), t(97.2) = -1.96, p = 0.152. results 3 2 1

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Missing Effect Sizes

No effect sizes were detected for any t-tests or F-tests. The Journal Article Reporting Standards state effect sizes should be reported.

text div p s test test_text
On average researchers in the experimental (app) condition made fewer mistakes (M = 9.12) than researchers in the control (checklist) condition (M = 10.9), t(97.7) = 2.9, p = 0.005. 3 1 2 t-test t(97.7) = 2.9
On average researchers in the experimental condition found the app marginally significantly more useful (M = 5.06) than researchers in the control condition found the checklist (M = 4.5), t(97.2) = -1.96, p = 0.152. 3 2 1 t-test t(97.2) = -1.96

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StatCheck

We detected possible errors in test statistics

test_type df2 test_comp test_value p_comp reported_p computed_p raw error decision_error one_tailed_in_txt apa_factor text section div p s
2 t 97.2 = -1.96 = 0.152 0.0528594 t(97.2) = -1.96, p = 0.152 TRUE FALSE FALSE 1 On average researchers in the experimental condition found the app marginally significantly more useful (M = 5.06) than researchers in the control condition found the checklist (M = 4.5), t(97.2) = -1.96, p = 0.152. results 3 2 1

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We detected closed OSF links

text section div p s osf_id osf_type public name description category registration preprint parent project status
osf.io/5tbm9 method 2 1 2 5tbm9 private FALSE NA NA NA NA NA NA NA closed
osf.io/5tbm9 results 3 1 1 5tbm9 private FALSE NA NA NA NA NA NA NA closed
osf.io/629bx results 3 1 1 629bx nodes TRUE Public FALSE FALSE cxjg4 cxjg4 open

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RetractionWatch

You cited some papers in the Retraction Watch database (as of 2025-05-20). These may be retracted, have corrections, or expressions of concern.

bib_id ref doi bibtype title journal year authors retractionwatch text
b0 Gino F, Wiltermuth SS (2014). “Retracted: Evil Genius? How Dishonesty Can Lead to Greater Creativity.” Psychological Science, 25(4), 973-981. doi:10.1177/0956797614520714 https://doi.org/10.1177/0956797614520714. 10.1177/0956797614520714 Article Retracted: Evil Genius? How Dishonesty Can Lead to Greater Creativity Psychological Science 2014 F Gino, S S Wiltermuth Retraction Although intentional dishonestly might be a successful way to boost creativity (Gino & Wiltermuth, 2014), it is safe to say most mistakes researchers make are unintentional.

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Reference Consistency

This module relies on Grobid correctly parsing the references. There may be some false positives.

There are references that are not cited or citations that are not referenced

bib_id ref doi bibtype title journal year authors missing
(Smithy, 2020) From a human factors perspective, human error is a symptom of a poor design (Smithy, 2020). NA NA NA NA NA NA reference
b1 Smith F (2021). “Human error is a symptom of a poor design.” Journal of Journals, 0(0), 0. doi:10.0000/0123456789 https://doi.org/10.0000/0123456789. 10.0000/0123456789 Article Human error is a symptom of a poor design Journal of Journals 2021 F Smith citation

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