Foundations Unit: Scientific Practices of Psychology and Related Concepts

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These flashcards cover key terms and definitions from foundational psychological concepts and methods.

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139 Terms

1
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Cultural norms

Shared guidelines or expectations within a group regarding appropriate behavior.

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Confirmation bias

The tendency to search for, interpret, or remember information in a way that confirms one’s preconceptions.

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Hindsight bias

The inclination to see events as having been predictable after they have already occurred.

4
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Overconfidence

A cognitive bias characterized by an overestimation of one's own abilities or knowledge.

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Independent variables

Variables that are manipulated in an experiment to test their effects on dependent variables.

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Confounding variables

Variables that can obscure or alter the results of an experiment by influencing both the independent and dependent variables.

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Dependent variables

Outcomes or responses measured in an experiment to see if they change due to manipulations of independent variables.

8
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Random assignment

The random allocation of participants to different groups in an experiment to ensure each participant has an equal chance of being assigned to any group.

9
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Case study

A research method involving a detailed analysis of a person or group.

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Correlation

A statistical measure that describes the extent to which two variables are related.

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Positive Correlation

A relationship in which both variables move in the same direction.

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Negative Correlation

A relationship in which one variable increases as the other decreases.

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Meta-analysis

A statistical procedure that consolidates findings from multiple studies to identify patterns or effects.

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Naturalistic observation

A research method where subjects are observed in their natural environment without interference.

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Hypothesis

A testable prediction about the relationship between two or more variables.

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Falsifiable

A property of a hypothesis that allows it to be proven wrong by evidence.

17
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Operational definitions

Specific explanations of abstract concepts that a researcher will measure or manipulate in a study.

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Replication

The process of repeating a research study to see if the original findings are consistent.

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Central tendency

A statistical measure that identifies a single score as representative of an entire distribution.

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Mean

The average of a set of numbers, calculated by dividing the sum of the numbers by the count of numbers.

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Median

The midpoint value in a data set that separates the higher half from the lower half.

22
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Mode

The most frequently occurring value in a data set.

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Standard deviation

A measure of the amount of variation or dispersion in a set of values.

24
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Placebo effect

A psychological phenomenon where a patient experiences perceived or actual improvement in their condition due to believing they are receiving treatment.

25
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Social desirability bias

The tendency of respondents to answer questions in a manner that will be viewed favorably by others.

26
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Qualitative research

Research that focuses on understanding concepts, thoughts, or experiences.

27
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Quantitative research

Research that involves the use of structured tools to collect measurable data.

28
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Peer review

A process where experts evaluate a study or paper before it is published.

29
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Statistical significance

A mathematical indication that the results of an analysis are unlikely to have occurred by chance.

30
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Theory

An explanation that organizes observations and predicts behaviors or events based on integrated principles.

31
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Double-blind procedure

An experimental procedure where both the research participants and the staff are ignorant about who received the treatment or a placebo.

32
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Control group

The group in an experiment that does not receive the treatment, serving as a comparison for evaluating the effects of the independent variable.

33
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Experimental group

The group in an experiment that is exposed to the treatment or the specific version of the independent variable being tested.

34
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Population

The entire group of individuals from which a researcher draws a sample to study and generalize findings.

35
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Random sample

A sample that fairly represents a population because every member has an equal chance of being selected for participation.

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Range

A statistical measure of variation representing the difference between the highest and lowest scores in a distribution (\text{Highest Value} - ext{Lowest Value}).

37
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Survey

A technique for collecting self-reported data regarding attitudes or behaviors by questioning a representative sample of a group.

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Informed consent

An ethical principle requiring that participants be told enough about a study to choose whether they wish to participate.

39
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Debriefing

The post-experimental explanation of a study, including its purpose and any deceptions, provided to the participants.

40
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Cultural norms

Shared guidelines or expectations within a group regarding appropriate behavior.

41
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Confirmation bias

The tendency to search for, interpret, or remember information in a way that confirms one’s preconceptions.

42
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Hindsight bias

The inclination to see events as having been predictable after they have already occurred.

43
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Overconfidence

A cognitive bias characterized by an overestimation of one's own abilities or knowledge.

44
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Independent variables

Variables that are manipulated in an experiment to test their effects on dependent variables.

45
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Confounding variables

Variables that can obscure or alter the results of an experiment by influencing both the independent and dependent variables.

46
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Dependent variables

Outcomes or responses measured in an experiment to see if they change due to manipulations of independent variables.

47
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Random assignment

The random allocation of participants to different groups in an experiment to ensure each participant has an equal chance of being assigned to any group.

48
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Case study

A research method involving a detailed analysis of a person or group.

49
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Correlation

A statistical measure that describes the extent to which two variables are related.

50
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Positive Correlation

A relationship in which both variables move in the same direction.

51
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Negative Correlation

A relationship in which one variable increases as the other decreases.

52
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Meta-analysis

A statistical procedure that consolidates findings from multiple studies to identify patterns or effects.

53
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Naturalistic observation

A research method where subjects are observed in their natural environment without interference.

54
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Hypothesis

A testable prediction about the relationship between two or more variables.

55
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Falsifiable

A property of a hypothesis that allows it to be proven wrong by evidence.

56
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Operational definitions

Specific explanations of abstract concepts that a researcher will measure or manipulate in a study.

57
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Replication

The process of repeating a research study to see if the original findings are consistent.

58
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Central tendency

A statistical measure that identifies a single score as representative of an entire distribution.

59
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Mean

The average of a set of numbers, calculated by dividing the sum of the numbers by the count of numbers.

60
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Median

The midpoint value in a data set that separates the higher half from the lower half.

61
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Mode

The most frequently occurring value in a data set.

62
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Standard deviation

A measure of the amount of variation or dispersion in a set of values.

63
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Placebo effect

A psychological phenomenon where a patient experiences perceived or actual improvement in their condition due to believing they are receiving treatment.

64
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Social desirability bias

The tendency of respondents to answer questions in a manner that will be viewed favorably by others.

65
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Qualitative research

Research that focuses on understanding concepts, thoughts, or experiences.

66
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Quantitative research

Research that involves the use of structured tools to collect measurable data.

67
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Peer review

A process where experts evaluate a study or paper before it is published.

68
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Statistical significance

A mathematical indication that the results of an analysis are unlikely to have occurred by chance (p < .05).

69
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Theory

An explanation that organizes observations and predicts behaviors or events based on integrated principles.

70
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Double-blind procedure

An experimental procedure where both the research participants and the staff are ignorant about who received the treatment or a placebo.

71
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Control group

The group in an experiment that does not receive the treatment, serving as a comparison for evaluating the effects of the independent variable.

72
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Experimental group

The group in an experiment that is exposed to the treatment or the specific version of the independent variable being tested.

73
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Population

The entire group of individuals from which a researcher draws a sample to study and generalize findings.

74
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Random sample

A sample that fairly represents a population because every member has an equal chance of being selected for participation.

75
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Range

A statistical measure of variation representing the difference between the highest and lowest scores in a distribution (\text{Highest Value} - \text{Lowest Value}).

76
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Survey

A technique for collecting self-reported data regarding attitudes or behaviors by questioning a representative sample of a group.

77
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Informed consent

An ethical principle requiring that participants be told enough about a study to choose whether they wish to participate.

78
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Debriefing

The post-experimental explanation of a study, including its purpose and any deceptions, provided to the participants.

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Experiment

A research method where an investigator manipulates factors (independent variables) to observe effects on behavior or mental processes (dependent variables).

80
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Sampling bias

A flawed sampling process that produces an unrepresentative sample of the population.

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Normal curve

A symmetrical, bell-shaped curve describing the distribution of data; approximately 68\% of scores fall within one standard deviation of the mean.

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Skewed distribution

A representation of scores that lack symmetry around their average value, appearing pulled toward one end.

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Correlation coefficient

A statistical index of the relationship between two variables, ranging from -1.00 to +1.00.

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Scatterplot

A graphed cluster of dots representing the values of two variables; the slope suggests the direction of the relationship.

85
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Descriptive statistics

Numerical data used to measure and describe characteristics of groups, including measures of central tendency and variation.

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Inferential statistics

Numerical data that allow one to generalize or infer from sample data the probability of something being true of a population.

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Validity

The extent to which a test or experiment measures or predicts what it is intended to measure.

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Reliability

The consistency of a research study or measuring test; the likelihood of achieving the same results upon replication.

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Histogram

A bar graph depicting a frequency distribution where the height of the bars indicates frequency.

90
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Illusory Correlation

Perceiving a relationship between variables even when no such relationship exists.

91
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Regression Toward the Mean

The tendency for extreme or unusual scores or events to fall back (regress) toward the average.

92
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Cross-sectional study

A research design that compares different groups of people (e.g., of different ages) at a single point in time.

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Longitudinal study

A research design that follows and re-tests the same group of individuals over a long period.

94
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Hawthorne effect

The tendency of individuals to modify their behavior simply because they know they are being observed.

95
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Demand characteristics

Cues in an experiment that lead participants to guess the hypothesis and change their behavior accordingly.

96
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Experimenter bias

When a researcher's expectations or preferences unintentionally influence the results of a study.

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External validity

The extent to which the results of a study can be generalized to other situations, people, or settings.

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Internal validity

The degree to which an experiment establishes a cause-and-effect relationship between the variables, free from confounding factors.

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Type I Error

A 'false positive' error where the researcher rejects a true null hypothesis (claiming an effect exists when it doesn't).

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Type II Error

A 'false negative' error where the researcher fails to reject a false null hypothesis (failing to find an effect that actually exists).