Week 4 - Research and Statistics Flashcards

(34 cards)

1
Q

Scientific Method

A

Founded on empiricism - the assumption that the truth is best discovered through sensory experience

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2
Q

Empirical evidence

A

evidence that is publicly confirmable

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3
Q

Hypothesis

A

A prediction, generally phrased as an “if…then” statement

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4
Q

Theory

A

The best explanation we have given the facts at hand, including previous hypothesis testing

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5
Q

Population

A

The group that is ultimately of interest to the researcher

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6
Q

Sample

A

A subgroup of the population

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7
Q

6 ways that data may be gathered depending on the research question

A
  1. Archival research
  2. Observation
  3. Surveys
  4. Interviews
  5. Psychological tests
  6. Biodata
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8
Q

Basic research

A

research done for the sake of curiosity, theory development, or knowledge expansion

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9
Q

Applied research

A

research done to help solve a practical problem

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10
Q

Descriptive studies

A

Used simply to describe phenomena or populations of interest (who?, what?, where?, how?) - descriptive studies don’t always use statistics, but they can

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11
Q

Inferential studies

A

Used to explain and predict (when?, why?) - Often involve the use of inferential statistics, which are used to draw conclusions about the probability of the research results occurring by chance

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12
Q

Qualitative study

A

A textual description of interview data or observations

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13
Q

Case study or series

A

Presents a rich summary of facts, observations, and tests pertaining to at least one individual or group

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14
Q

Correlational study

A

Identifies the strength of association between two or more variables of interest EG - age is positively correlated with vocabulary - relationship between hours of study and GPA

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15
Q

Correlation coefficient

A

A statistic that expressed the size and direction of relationship between two variables - the larger the absolute value, the stronger the relationship

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16
Q

Positive correlation

A

When values of one variable change in the same direction as valued of the other variable; e.g. r=.76

17
Q

Negative correlation

A

When high values of one variable are associated with low values of the other variable; e.g r= -.32

18
Q

Inferential Research

A

Inferences have to do with cause and effect relationships - experiments are the best way to prove. the existence of cause-effect relationship

19
Q

Variable

A

Any factor that varies in amount or kind

20
Q

Independent Variable

A

A factor that is manipulated by the researcher

21
Q

Dependent Variable

A

A factor that the experimenter measures to determine the impact of the IV - outcome variable

22
Q

Control group

A

Not exposed to the conditions expected to create change

23
Q

Random assigment

A

An equal chance of being assigned to the control group or the experimental group

24
Q

Experimental control

A

Other systematic methods of ensuring equal treatment across groups and the studies ( ex strict procedures, no distractions)

25
Placebo effect
Provides no active effect
26
Quasi-experimental studies
Demonstrate that naturally existing factors that differentiate two groups lead to differences in measured variables
27
Longitudinal studies
Measure the same variables in the same person at different ages
28
Cross-sectional studies
Measure a trait across as number of age groups/ categories at the same time
29
Sequential studies
Combine cross-sectional and longitudinal studies, and are therefore the most efficient design
30
Mean
Average
31
Median
Midpoint in rank-ordered data
32
Mode
Score appearing most often
33
Normal distribution
Bell-shaped curve
34
Standard deviation
Degree to which scores in ordered distribution are spread out