Data & Integrity Quiz

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Test your grasp of data analysis and intellectual honesty.

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FIGURA , SAMARA NICOLE

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Froggy Jumps Data & Integrity QuizVersión en línea Test your grasp of data analysis and intellectual honesty. por FIGURA , SAMARA NICOLE 1 What is intellectual honesty in data analysis? a Hiding methods that don’t support your hypothesis b Only sharing positive findings c Accurately reporting methods and results, even if unfavorable 2 Which practice best prevents data fabrication? a Relying on memory for results b Black-box modeling without records c Reproducible analyses with documented steps 3 P-hacking harms integrity by: a Reporting all tested analyses b Trying multiple analyses until significant results appear c Pre-registering analysis plan 4 An ethical data practitioner should disclose: a Confidentiality overrides transparency b Limitations and potential biases in the study c Only favorable outcomes 5 What is data dredging? a Formulating hypotheses before data b Using pre-registered analyses only c Searching for patterns without prior hypothesis to claim significance 6 Which action supports transparency? a Sharing data and code when possible b Withholding raw data to protect participants c Only sharing summary results 7 Handling missing data ethically means: a Ignoring missing values b Fabricating complete data c Disclosing the extent and method of imputation or exclusion 8 Selective reporting is a violation because it: a Misleads about the true evidence b Shows all attempts equally c Conveys a full picture 9 preregistration helps by: a Changing hypotheses after results b Locking analysis plans before data collection c Avoiding pre-study plans 10 What should you do if a result is contradictory to theory? a Ignore it to preserve narrative b Investigate and report possible explanations honestly c Adjust data to fit theory

Froggy Jumps

Data & Integrity QuizVersión en línea

Test your grasp of data analysis and intellectual honesty.

por FIGURA , SAMARA NICOLE

What is intellectual honesty in data analysis?

Hiding methods that don’t support your hypothesis

Only sharing positive findings

Accurately reporting methods and results, even if unfavorable

Which practice best prevents data fabrication?

Relying on memory for results

Black-box modeling without records

Reproducible analyses with documented steps

P-hacking harms integrity by:

Reporting all tested analyses

Trying multiple analyses until significant results appear

Pre-registering analysis plan

An ethical data practitioner should disclose:

Confidentiality overrides transparency

Limitations and potential biases in the study

Only favorable outcomes

What is data dredging?

Formulating hypotheses before data

Using pre-registered analyses only

Searching for patterns without prior hypothesis to claim significance

Which action supports transparency?

Sharing data and code when possible

Withholding raw data to protect participants

Only sharing summary results

Handling missing data ethically means:

Ignoring missing values

Fabricating complete data

Disclosing the extent and method of imputation or exclusion

Selective reporting is a violation because it:

Misleads about the true evidence

Shows all attempts equally

Conveys a full picture

preregistration helps by:

Changing hypotheses after results

Locking analysis plans before data collection

Avoiding pre-study plans

What should you do if a result is contradictory to theory?

Ignore it to preserve narrative

Investigate and report possible explanations honestly

Adjust data to fit theory

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Data & Integrity Quiz

Froggy Jumps

Sobre esta actividad

Creada por

Descarga la versión para jugar en papel

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Froggy Jumps

Data & Integrity QuizVersión en línea

por FIGURA , SAMARA NICOLE

What is intellectual honesty in data analysis?

Which practice best prevents data fabrication?

P-hacking harms integrity by:

An ethical data practitioner should disclose:

What is data dredging?

Which action supports transparency?

Handling missing data ethically means:

Selective reporting is a violation because it:

preregistration helps by:

What should you do if a result is contradictory to theory?

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