STUDY GUIDE Flashcards

Know how to apply the following terms:

1
Q

Variable

A

Anything that can change (opinion)(answer)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Population

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Sample

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Inferential statistics

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Descriptive statistics

A

Summarizing and describing the data

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Sampling error

A

Specific things that can be pointed out in the graph

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Discrete observations

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Continuous observations

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Correlational research

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Experimental research

A

Experimenter has control and manipulation over variable.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Independent variable

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Dependent variable

A

ex. The amount of words remembered after 15 minutes

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Random sampling

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Convenience sampling

A

Form a sampling from subjects who are readily available

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Volunteer sample

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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

A
19
Q

Levels of an independent variable

A
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

A
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
Q

Reliability

A

If its reliable its consistent

25
Q

Validity

A

If a study is generalizable, it is externally valid

26
Q

Between subjects

A

If we compare two (or more) different groups in our experiment. It is between subjects

27
Q

Within Subjects

A

If we compare the same group doing two (or more) different things
It is within subjects

28
Q

Symmetrical distribution

A
29
Q

Positively skewed distribution

A

Highest on left and lowest right

30
Q

Negatively skewed distribution

A

Highest on left and lowest on right

31
Q

Ceiling effect

A

When scores cannot go any higher due to some constraint

32
Q

Floor effect

A

When scores can’t go any lower due to some constraint

33
Q

Nominal

A
34
Q

Ordinal

A
34
Q

Ratio

A
35
Q

Interval

A
36
Q

Histogram

A

Key parts: numerical data on the bottom
From the x of frequency distribution table frequencies on the side.

37
Q

Frequency distribution table

A

X is the score, f is how many scores occurred at each value (the frequency)

38
Q

Grouped frequency distribution table

A

Approximately 10 intervals is best. Interval size should be easy to deal with (like 1,2,5,10)

39
Q

Polygon

A

Same organization as a histogram
Should only be used for continuous variables

40
Q

Bar Graph

A
41
Q

Scatterplot

A

Compare two numerical variables
Each dot is a pair of data from your subject