Unit 1 Vocab - Scientific Foundations of Psychology

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Hypothesis

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46 Terms

1

Hypothesis

A statement that helps to frame an experiment and give researchers a clear focus in their investigation

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2

Falsifiable hypothesis

When there is possible evidence that would not be considered consistent with the original hypothesis

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3

Operational definitions

A term or terms used to clearly define and quantify variables present in an experiment

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4

Replication

Performing an experiment more than once to compare results

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5

Independent variable

The variable that is manipulated or changed

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6

Dependent variable

The variable that is measured

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7

Population

The entire group that a researcher will draw conclusions from

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8

Random sample

A technique used in research that ensures every member of the population has an equal chance of being picked

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9

Random assignment

When every participant has an equal chance of being in either the experimental group or the control group

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10

Confounding variables

Variables in an experiment that weren’t initially accounted for

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11

Sampling bias

When a sample does not represent the population from which it is drawn

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12

Experimental group

The group that is tested on

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13

Control group

The group that remains the same and acts as the “baseline” for the experiment

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14

Ethical guidelines

Procedures that ensure participants remain safe and healthy:

  1. Informed consent

  2. Confidentiality

  3. Anonymity

  4. Debriefing

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15

Hindsight bias

When a person asserts they knew an outcome was going to happen before witnessing the event

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16

Overconfidence

The tendency for a person to be overly sure of themselves and overestimate their abilities

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17

Confirmation bias

The tendency for people to only seek out information that aligns with their beliefs and avoid or outright ignore opposing information

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18

Descriptive statistics

Numerical data used to measure and describe characteristics of groups that does not allow us to make conclusions beyond the data we have analysed or reach conclusions regarding any hypotheses we might have made

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19

Inferential statistics

Provides data from a sample that a researcher studies which enables him to make conclusions about the population

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20

Mean

The average of a data set

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21

Median

The middle number of a data set

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22

Mode

The number that appears most often in a data set

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23

Range

The difference between the lowest value and the highest value

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24

Positive skew

When a distribution has more scores towards the left of the graph, and only a few scores on the right

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25

Negative skew

When a distribution has more scores towards the right of the graph, and only a few scores on the left

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26

Ordinal listing

Data that is placed in a certain order/scale

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27

Effect size

How much did the statistical significance matter in the experiment

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28

Histogram

A graph that represents discrete or continuous data

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29

Percentile rank

The percentage of individuals in the distribution with scores at or below a specific value

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30

Standard deviation

How far an individual data point is from the average

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31

Correlation coefficient

A number that represents how close to cause and effect the experiment is

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32

Statistical signifcance

Indicates whether or not the difference between groups can be attributed to chance or experimental influences

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33

Normal distribution

A symmetrical, bell-shaped distribution where the mean, median, and mode are equal

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34

T-test

A test that compares the means of two samples

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35

Meta analysis

When researchers combine the results of multiple studies of the same experiment to draw an overall conclusion

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36

Z score

Indicates how many standard deviations a data point is from the mean of the distribution

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37

P value

The probability of getting an experimental result or more under a null hypothesis (p < .05)

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38

Causation

One event is the result of the occurrence of the other event

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Positive correlation

Two factors rise and fall together

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40

Negative correlation

One factor rises and the other falls

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41

Illusory correlation

The perception of a relationship where none exists

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42

Single blind

When the subjects do not know all of the information about the study while it is occurring, especially which group (experimental or control) they belong to

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43

Double blind

When neither the participant in the study nor the person giving the study know who is the control group and who is in the experimental group

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44

Experimenter bias

When the experimenter affects the results of their own study because of their expectations

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45

Participant bias

A tendency of participants in an experiment to consciously or subconsciously act in a way that they think the experimenter or researcher wants them to act

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46

Placebo effect

When an improvement of symptoms is observed, despite using a nonactive treatment, believed to occur due to psychological factors like expectations or classical conditioning

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