Chapter 2 Flashcards

1
Q

Prefrontal Lobotomy

A

Surgical procedure that severs fibres connecting the frontal lobes of the brain from the underlying thalamus.

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2
Q

Heuristic

A

Mental shortcut or “rule of thumb” that helps us simplify our thinking and make sense of the world.

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3
Q

Random Selection

A

Procedure that ensures every person in a population has an equal chance of being chosen to participate.

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4
Q

Reliability

A

Consistency of measurement.

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5
Q

Validity

A

How well something measures what it’s supposed to measure.

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6
Q

Naturalistic Observation

A

Watching behaviour in real-world settings without manipulating the situation.

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7
Q

External Validity

A

How well the results of a study can apply to the real-world (naturalistic observation is very high in External Validity).

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8
Q

Internal Validity

A

Whether we can draw cause-and-effect interferences from a study.

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9
Q

Case Study

A

Research design that studies one person or a small number of people in depth over an extended period of time (provides lots of details).

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10
Q

Existence Proof

A

Showing that something in psychology (phenomenon) can happen.

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11
Q

Response Set

A

Tendencies to distort their answers to make themselves look better.

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12
Q

Correlational Design

A

Research design that examines the extent to which 2 variables are associated.
(Negative and Positive Correlation)

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13
Q

Scatterplot

A

Grouping of points on a graph, each dot represents a single persons data.

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14
Q

Illusory Correlation

A

When people mistakenly think 2 things are connected/related when they’re not.
(Illusory Correlation forms the basis of superstition).

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15
Q

Experimental Design

A

Research design
1. Using random participants.
2. Manipulation of an independent variable.

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16
Q

Random Assignment

A

Randomly sorting participants into groups.

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17
Q

Experimental Group

A

In an experiment, this is the group of participants that receives the manipulation.

18
Q

Control Group

A

In an experiment, this is the group of participants that don’t receive the manipulation.

19
Q

Between-Subjects Design

A

In an experiment, when researchers assign different groups to the control or experimental condition.

20
Q

Within-Subject Design

A

In an experiment, each participant act as their own control.

21
Q

Independent Variable

A

Variable that an experimenter manipulates.

22
Q

Dependant Variable

A

Variable that the experimenter measures to see whether the manipulation has had an effect.

23
Q

Operational Definition

A

A working definition of what a researcher is measuring.

24
Q

Placebo Effect

A

When you feel better because you believe something (like a treatment) will work, power of belief.

25
Q

Blind

A

Being unaware of whether one is in the experimental or or control group.

26
Q

Experimenter Expectancy Effect

A

Researchers UNINTENTIONALLY influencing the result of an experiment because of their own biases.

27
Q

Double-Blind

A

When neither researchers nor participants are aware of who’s in the experimental or control group.

28
Q

Demand Characteristics

A

Cues that participants pick up from a study that allows them to generate guesses regarding the researchers hypotheses.

29
Q

Informed Consent

A

Informing research participants of what is involved in a study before asking them to participate.

30
Q

Statistics

A

Use of math to describe and analyze data.

31
Q

Descriptive Statistics

A

Numerical characterizations that describe data (describe data).

32
Q

Central Tendency

A

First type of descriptive statistics. Measure of the “central” scores in a dataset, or where the group tends to cluster (mean, median, mode).

33
Q

Mean

A

The average.

34
Q

Median

A

Middle score in a data set.

35
Q

Mode

A

Most frequent score in a data set.

36
Q

Variability

A

Second type of descriptive statistics. Measure of how loosely or tightly bunched the scores are.

37
Q

Range

A

Difference between the highest and lowest scores, measure of variability.

38
Q

Standard Deviation

A

Measure of variability that takes into account how far each data point is from the mean.

39
Q

Inferential Statistics

A

Math methods that allow them to determine how confident we are that we can generalize findings from our sample to the full population.

40
Q

Meta-Analysis

A

Analysis of a set of studies on a particular topic that statistically evaluates the strength of patterns across different studies.

41
Q

Base rate

A

How common a characteristic or behaviour is in the general population.