STUDY GUIDE Flashcards

Know how to apply the following terms:

1
Q

Variable

A

Anything that can change (opinion)(answer)

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2
Q

Population

A

A group on which data is being gathered and analyzed
(Population will always be bigger than sample)

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3
Q

Sample

A

A selection (subset) of data from a larger group of data, (called the population)

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4
Q

Inferential statistics

A

How accurately can we use a sample to make conclusions about a population

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4
Q

Descriptive statistics

A

Summarizing and describing the data

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5
Q

Sampling error

A

Specific things that can be pointed out in the graph

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6
Q

Discrete observations

A

Separate scores with no values in between
(ex. number of cars in a household)

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7
Q

Continuous observations

A

Infinite number of possible values fall between any two scores
(ex. weight, time taken to run a mile)

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8
Q

Correlational research

A

Looks at how two things relate without any experimental manipulation.
(ex. looks at life as it happens)

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9
Q

Experimental research

A

Experimenter has control and manipulation over variable.

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10
Q

Independent variable

A

ex. Type of music
levels: Billie Eilish, Beyonce, Beethoven

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11
Q

Dependent variable

A

ex. The amount of words remembered after 15 minutes

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12
Q

Confounding variable

A

Variables where levels change with the levels of independent variable.
Researcher is unable conclude what led to the differences in results.

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13
Q

Random assignment

A

Every participant has an equal chance of being in each group/condition.
Ensures that there are no existing differences between groups.

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14
Q

Random sampling

A

Every member of the population has an equal chance of being in the sample

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15
Q

Convenience sampling

A

Form a sampling from subjects who are readily available

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16
Q

Volunteer sample

A

Specific type of convenience sample where the subject selects themselves to be in the study
(“self selection”)

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17
Q

Generalizability and external validity

A

-Same thing
Can we take what we have learned about the sample and apply it to the population. Achieved through good sampling techniques.

18
Q

Matching

19
Q

Levels of an independent variable

20
Q

Control condition

A

Researchers must have “control” over their groups/conditions/manipulation

21
Q

Experimental condition

A

Studying the effects of 2 different pain medications of headaches, I may give people who have headaches either Tylenol or Bayer

22
Q

Non-experimental condition

23
Q

Operational definition

A

Construct: a characteristic that cannot be directly observed but is useful for describing and explaining behavior
Identifies how a construct will be measured

24
Reliability
If its reliable its consistent
25
Validity
If a study is generalizable, it is externally valid
26
Between subjects
If we compare two (or more) different groups in our experiment. It is between subjects
27
Within Subjects
If we compare the same group doing two (or more) different things It is within subjects
28
Symmetrical distribution
29
Positively skewed distribution
Highest on left and lowest right
30
Negatively skewed distribution
Highest on left and lowest on right
31
Ceiling effect
When scores cannot go any higher due to some constraint
32
Floor effect
When scores can't go any lower due to some constraint
33
Nominal
34
Ordinal
34
Ratio
35
Interval
36
Histogram
Key parts: numerical data on the bottom From the x of frequency distribution table frequencies on the side.
37
Frequency distribution table
X is the score, f is how many scores occurred at each value (the frequency)
38
Grouped frequency distribution table
Approximately 10 intervals is best. Interval size should be easy to deal with (like 1,2,5,10)
39
Polygon
Same organization as a histogram Should only be used for continuous variables
40
Bar Graph
41
Scatterplot
Compare two numerical variables Each dot is a pair of data from your subject