Data Detectives
Trust the Science
Lab Rules
Psych Connections
Psyched Out
Think like a Psychologist
100

A psychologist calculates the average score on a test. What central unit of measurement is that?

Mean.

100

What bias makes people think they “knew it all along”?

Hindsight bias

100

A researcher explains the study to participants and asks them to sign before joining. What is this called?

Informed consent

100

This perspective focuses on how we encode, process, store, and retrieve information—essentially how we think.

Cognitive perspective

100

A study measures “happiness” but never defines what counts as happiness. What’s missing?

Operational definition

100

Identify the research method: Watching how kids play at recess without telling them.

Naturalistic Observation

200

A test has one very high outlier score. Which central unit of measure would best represent the data?

Median.

200

A student thinks they’ll ace the quiz without studying. Which bias is this?

Overconfidence

200

A researcher uses minors without parental permission. What’s missing?

Informed assent

200

Why can’t correlation prove causation?

A third or confounding variable may factor into the results

200

In a study on exercise and mood, the exercise group meets in the morning but the control group meets at night. What’s the confounding variable?

Time of day

200

Identify the IV and DV: One group studies with music, one without, test scores measured.

IV = music/no music; DV = test scores

300

Group A’s scores are close together; Group B’s scores vary widely. Which has a higher standard deviation?

Group B - more varied scores = higher SD

300

You think you see a pattern in random coin flips. What’s that called?

Perceiving order in random events

300

A study puts one group in a warm room and another in a cold room to test concentration. What’s the independent variable?

Room temperature

300

A researcher finds r = +0.85 between hours studied and test scores. How would you describe the strength and direction of this correlation?

Strong, positive correlation

300

A researcher wants to study how a new teaching method affects test scores but doesn’t include a control group. What’s the flaw?

No baseline for comparison

300

A psychologist combines the results of 20 different studies on sleep and test scores to find an overall pattern. What is this called?

Meta-analysis

400

Something that has a p-value of .08 would not be __________________.

Statistically significant

400

Which type of study helps eliminate experimenter and participant bias?

Double blind study

400

After a sleep study, the researcher explains what was being tested and answers questions. What is this called?

Debriefing

400

Research shows r = –0.75 between stress levels and hours of sleep. What does this negative correlation indicate about the relationship between stress and sleep? 

More stress = less sleep

400

A student feels calmer after drinking “stress tea” that actually contains only water. Why?

Placebo effect

400

How big or meaningful the difference/relationship between two groups/variables is called ______.

(Helps determine if the difference is important in the real world)

Effect size

500

What does a small p-value indicate about the variables of a study?

That the relationship between the variable is unlikely to be due to chance alone - the IV likely influenced the DV.

500

Why is replication important in psychology?

It helps confirm results aren’t just due to chance and can be generalized.

500

This perspective emphasizes how unconscious drives and early childhood experiences influence behavior.

Psychodynamic/psychoanalytic

500

Why is effect size important in addition to the p-value?

It tells us how big or meaningful the difference is, not just whether it’s real.

500

A teacher lets students pick their own groups for a caffeine experiment. What’s the design problem?

No random assignment

500

If a new memory strategy improves test scores by 0.5% but the p-value is .001, how would you explain the statistical significance and effect size to the principal? 

The p-value makes us confident that the effect of the memory strategy is likely not due to chance, but the size of the effect (.5%) is so small that it likely isn't meaningful. 

Ex. We're sure the improvement is real, but going from 80% to 80.5% isn't enough to chance policy or practice. 

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