Research Design and Statistics Flashcards

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Flashcards covering basic research design, ethical guidelines and statistical concepts.

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49 Terms

1
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What is a falsifiable hypothesis?

A tentative explanation that can be supported or rejected through research.

2
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Define 'operational definition' in research.

A clear, precise, and quantifiable definition of variables, allowing for replication and reliable data collection.

3
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What is the difference between qualitative and quantitative data?

Qualitative data is descriptive (e.g., eye color), while quantitative data is numerical and ideal for statistics.

4
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What is a population in research terms?

Everyone the research could potentially apply to.

5
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What is a sample in a research study?

The specific people (or person) chosen to participate in the study.

6
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What is the primary advantage and disadvantage of correlational research?

Advantage: Useful when experiments are unethical. Disadvantage: Correlation does not equal causation.

7
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Explain the 'directionality problem' in correlational research.

It is unclear which variable causes the other (e.g., does depression cause low self-esteem, or vice versa?).

8
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What is the 'third variable problem' in correlational research?

A different variable is responsible for the relationship between the two variables being studied.

9
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Describe a positive correlation.

Variables increase and decrease together.

10
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Describe a negative correlation.

As one variable increases, the other decreases.

11
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In correlational strength, what is the range of values?

Values range from -1 to +1, with values closer to -1 or +1 indicating a stronger relationship.

12
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What is the main advantage of experimental research?

It is the only type that establishes cause and effect.

13
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How is the independent variable used in an experiment?

Purposely altered by researcher to look for effect.

14
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What is the purpose of the experimental group?

Receives the treatment (part of the independent variable).

15
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What is the purpose of the control group?

Placebo, baseline (part of the independent variable); used for comparison.

16
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What is the dependent variable?

The measured variable that is dependent on the independent variable.

17
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What is the placebo effect?

Observed effect on behavior caused by the placebo, showing effectiveness of experimental treatment.

18
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Explain a double-blind experiment.

Neither the participant nor the experimenter knows which condition people are assigned to.

19
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Explain a single-blind experiment.

Only the participant is blind to their condition.

20
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What is a confound in a research study?

Error/flaw in study accidentally introduced (confounding variable).

21
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What is random assignment and why is it important?

Assigning participants to control or experimental group at random to increase chance of equal representation among groups and allow for cause/effect conclusions.

22
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What is naturalistic observation and what are its advantages and disadvantages?

Observing people in their natural settings. Adv: real-world validity. Disadv: No cause and effect.

23
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Describe a case study and its advantages/disadvantages.

Studies one person (usually) in great detail. Adv: Collects lots of info. Disadv: No cause/effect.

24
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What is a meta-analysis?

Combines multiple studies to increase sample size and examine effect sizes.

25
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What are descriptive statistics used for?

Show shape of the data.

26
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Describe the three measures of central tendency.

Mean: Average (use in normal distribution). Median: Middle number (use in skewed distribution). Mode: Occurs most often.

27
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What does a bimodal distribution indicate?

Has two modes, usually indicating good and bad scores.

28
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How do outliers affect the skew of a distribution?

Outliers create skews. Negative skew: mean is to the left, mode is to the right. Positive skew: mean is to the right.

29
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What is the range in statistics?

Distance between the smallest and biggest number.

30
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What is standard deviation?

Average amount the scores are spread from the mean (bigger number = more spread).

31
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What is the purpose of inferential statistics?

Establishes significance (meaningfulness).

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What does statistical significance mean?

Results not due to chance; experimental manipulation caused the difference in means.

33
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What p-value is generally considered statistically significant?

p < .05; smaller is better.

34
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What does effect size indicate?

Data has practical significance; bigger is better.

35
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What ethical guidelines are needed for human research?

Confidentiality, informed consent, informed assent (for minors), debriefing, deception must be warranted, no harm.

36
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What is social desirability bias in surveys?

People lie to look good.

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How can wording effects influence survey answers?

How you frame the question can impact the answers.

38
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What is a random sample and why is it important?

Method for choosing participants where everyone has a chance to take part, increases generalizability.

39
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Explain the difference between random sample and random assignment.

Sample = Generalize. Assignment = Cause/Effect.

40
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What is a representative sample?

Sample mimics the general population (ethnic, gender, age).

41
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What is a convenience sample and what are its limitations?

Select participants on availability—less representative and less generalizability.

42
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What is sampling bias?

Sample isn't representative, due to convenience sampling.

43
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How can cultural norms affect research results?

Behaviors of a particular group can influence research results.

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What is experimenter/participant bias?

Experimenter/participant expectations influence the outcome.

45
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Define Confirmation bias.

Find info that supports our preexisting beliefs

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Define Hindsight bias.

"I knew it all along"

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Define Overconfidence bias.

Overestimate our knowledge/abilities

48
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What is the Hawthorne effect?

People change behavior when watched.

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Why do research studies require peer review?

To ensure validity and rigor of the research.