Week 4 - Research and Statistics Flashcards

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
Q

Placebo effect

A

Provides no active effect

26
Q

Quasi-experimental studies

A

Demonstrate that naturally existing factors that differentiate two groups lead to differences in measured variables

27
Q

Longitudinal studies

A

Measure the same variables in the same person at different ages

28
Q

Cross-sectional studies

A

Measure a trait across as number of age groups/ categories at the same time

29
Q

Sequential studies

A

Combine cross-sectional and longitudinal studies, and are therefore the most efficient design

30
Q

Mean

A

Average

31
Q

Median

A

Midpoint in rank-ordered data

32
Q

Mode

A

Score appearing most often

33
Q

Normal distribution

A

Bell-shaped curve

34
Q

Standard deviation

A

Degree to which scores in ordered distribution are spread out