Unit 2 Vocab Flashcards

1
Q

The variable manipulated by the researcher.

A

Independent Variable

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2
Q

One variable increases as the other decreases- like hours on TikTok & grades.

A

Negative Correlation

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3
Q

A score indicating the percentage of scores in a distribution that a particular score is above.

A

Percentile Rank

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4
Q

Overestimating the accuracy of our knowledge.

A

Overconfidence

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5
Q

Group exposed to the experimental treatment.

A

Experimental Group

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6
Q

Ensuring participant information is kept private.

A

Confidentiality

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7
Q

Specific, precise definitions of variables in terms of the operations or techniques used to measure or manipulate them in a study.

A

Operational Definitions

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8
Q

Capable of being disproven by evidence.

A

Falsifiable

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9
Q

Misleading participants about the true purpose of the study.

A

Deception

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10
Q

Entire group of interest in a study.

A

Population

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11
Q

Testable prediction about the relationship between variables.

A

Hypothesis

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12
Q

Most frequently occurring value in a set of numbers.

A

Mode

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13
Q

Inactive substance given to the control group.

A

Placebo

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14
Q

Tendency to respond to surveys in a way that is viewed favorably by others.

A

Social Desirability Bias

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15
Q

Observing behavior in its natural environment.

A

Naturalistic Observation

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16
Q

Sample that accurately reflects the population.

A

Representative Sample

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17
Q

Repeating a study to verify results.

A

Replication

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18
Q

Only participants are unaware of their group assignment.

A

Single-Blind Study

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19
Q

Neither participants nor researchers know who is in the control or experimental group.

A

Double-Blind Study

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20
Q

Average of a set of numbers.

A

Mean

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21
Q

A distribution where most of the data points are clustered on the left, with a long tail on the right side, indicating that the mean is greater than the median.

A

Positive Skew

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22
Q

Both variables increase together Like ice cream and temperature

A

Positive Correlation

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23
Q

Explaining the purpose and procedures of the study to participants afterward.

A

Debriefing

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24
Q

Group not exposed to the experimental treatment.

A

Control Group

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25
Q

A probability distribution with two different modes, which appear as distinct peaks in the frequency of data points.

A

Bimodal Distribution

26
Q

Factors other than the independent variable that may affect the outcome.

A

Confounding Variables

27
Q

Numerical measure of the strength and direction of a relationship.

A

Correlation Coefficient

28
Q

Researcher’s expectations influence the outcome.

A

Experimenter Bias

29
Q

Combining results from multiple studies.

A

Meta-Analysis

30
Q

A quantitative measure of the magnitude of the experimental effect. It helps to understand the practical significance of research findings, beyond just statistical significance.

A

Effect Sizes

31
Q

Difference between the highest and lowest values.

32
Q

Pre-determined questions asked in a set order.

A

Structured Interviews

33
Q

Improvement due to the belief in the treatment.

A

Placebo Effect

34
Q

Participants’ agreement to take part in a study after being informed of the risks.

A

Informed Consent

34
Q

Selecting participants who are easily accessible to be in the control or experimental group.

A

Convenience Sampling

34
Q

Applying findings from a sample to the larger population.

A

Generalizing

35
Q

Non-numerical data collection and analysis.

A

Qualitative Research

36
Q

Middle value in a set of numbers.

37
Q

Tendency to search for information that supports our preconceptions.

A

Confirmation Bias

38
Q

Relationship between two variables.

A

Correlation

39
Q

Ensuring participants are not harmed during the study.

A

Protection for Harm

40
Q

Evaluation of work by others in the same field.

A

Peer Review

41
Q

Graph showing the correlation between two variables.

A

Scatter Plot

42
Q

In-depth analysis of an individual or group.

A

Case-Study

43
Q

Shared expectations and rules guiding behavior of people within social groups.

A

Cultural Norms

44
Q

Belief that an event was predictable after it has occurred.

A

Hindsight Bias

45
Q

Numerical data collection and analysis.

A

Quantitative Research

46
Q

The phenomenon where extreme values on a variable tend to be closer to the average on subsequent measurements, due to random variation.

A

Regression Towards the Mean

47
Q

Subset of the population studied.

48
Q

Likelihood that a resulted activity is not from pure chance.

A

Statistical Significance

49
Q

Measure of variability around the mean.

A

Standard Deviation

50
Q

Ensuring diverse and accurate inclusion of different groups in research.

A

Representation of Participants

51
Q

Committee review of research proposals for ethical concerns.

A

Institutional Review

52
Q

Variable measured to see the effect of the independent variable.

A

Dependent Variable

53
Q

Every member of the population has an equal chance of being selected to the control or experimental group.

A

Random Sampling

54
Q

Randomly placing participants into groups.

A

Random Assignment

55
Q

Agreement from minors to participate in a study, with parental consent.

A

Informed Assent

56
Q

A distribution where most of the data points are clustered on the right, with a long tail on the left side, indicating that the mean is less than the median.

A

Negative Skew

57
Q

Rating scales used to measure attitudes or opinions, typically ranging from “strongly agree” to “strongly disagree.”

A

Likert Scales

58
Q

Symmetrical, bell-shaped distribution.

A

Normal Curve