week 1 introductory research methods

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LuckiestForethought
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Which subject is a significant part of a psychological education?

Statistics

Why do scientists use statistics?

They don't trust themselves

What is the common perception of statistics among psychology students?

It is disliked by many students

According to the text, what is Simpson's paradox?

The surprising phenomenon where the aggregated data suggests discrimination against women but the disaggregated data shows no bias

What does the text suggest about the gender bias in Berkeley's admissions processes?

The gender bias was caused by women self-selecting for harder departments

What is the main point the author is making about doing research?

There are lots of subtle, counter-intuitive traps in research

Why is it important to consider both the aggregated and disaggregated data in a research project?

The answers to critical questions may depend on both types of data

According to the text, what did J. St. B. Evans et al. (1983) find in their study?

When pre-existing biases were in disagreement with the data, everything went as expected.

What percentage of the time did people perceive a strong argument that contradicted their pre-existing beliefs to be a strong argument?

92%

What percentage of the time did people perceive a weak argument that agreed with their pre-existing biases to be a weak argument?

54%

What percentage of people's judgments were correct in compensating for their prior biases?

60%

Which of the following is an example of the belief bias effect in logical reasoning?

All cigarettes are expensive (Premise 1) Some addictive things are inexpensive (Premise 2) Therefore, some cigarettes are not addictive (Conclusion)

Which of the following statements is true about deductively valid arguments?

They don't have to involve true statements.

What is the main challenge in evaluating evidence impartially according to the text?

Being influenced by pre-existing biases

What is the belief bias effect in logical reasoning?

The tendency to be influenced by the believability of the conclusion, even when it shouldn't impact the evaluation of the argument.

Test your knowledge of biases and statistics with this quiz! Explore a classic study by J. St. B. T. Evans et al. (1983) that delves into the impact of pre-existing biases on data evaluation. Challenge yourself to understand the importance of statistics in scientific analysis.

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