Research Methods and Statistics Flashcards

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1
Q

empirical investigation

A

An approach to research that relies on sensory experience and observation as research data.

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2
Q

theory

A

A testable explanation for a set of facts or observations. In science, a theory is NOT just speculation or a guess.

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3
Q

population

A

A population is different from a sample because a population includes all of the people in which the research is investigating, whereas a sample is a relatively small number of participants drawn from the population.

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4
Q

hindsight bias

A

knew-it-all-along effect

refers to the tendency people have to view events as more predictable than they really are.

After an event, people often believe that they knew the outcome of the event before it actually happened.

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5
Q

personal bias

A

The researcher allowing personal beliefs to affect the outcome of a study.

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6
Q

expectancy bias

A

The researcher allowing his or her expectations to affect the outcome of a study.

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7
Q

experiment

A

A kind of research in which the researcher controls all the conditions and directly manipulates the conditions, including the independent variable

cause and effect

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8
Q

double-blind procedure

A

neither subjects nor experimenters know which subjects are receiving drugs and which are receiving placebos

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9
Q

placebo effect

A

changes in behavior caused by belief that one has taken a drug

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10
Q

experimental group

A

consists of subjects exposed to the independent variable

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11
Q

control condition/group

A

exposed to all conditions except the independent variable

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12
Q

random assignment

A

assigning your random sampling to groups but making sure that you equalize the amount of differences

a subject has an equal chance of being a member of either the experimental group or the control group

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13
Q

independent variable

A

the conditions altered or varied by the experimenter

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14
Q

dependent variable

A

measure the results of the experiment

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15
Q

confounding variable

A

Confounding variables are factors other than the independent variable that may cause a result.

In your caffeine study, for example, it is possible that the students who received caffeine also had more sleep than the control group.

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16
Q

validity

A

a test is valid if it measures what it claims to measure

For example a test of intelligence should measure intelligence and not something else (such as memory).

17
Q

correlation

A

linked together in an orderly way

18
Q

illusory correlation

A

perception of a relationship between two variables when only a minor or absolutely no relationship actually exists

For example, let’s suppose that a man holds a mistaken belief that all people from small towns are extremely kind. When the individual meets a very kind person, his immediate assumption might be that the person is from a small town, despite the fact that kindness is not related to city population.

19
Q

false consensus effect

A

the tendency of people to overestimate the level to which other people share their beliefs, attitudes, and behaviors

This is a great example of the false consensus effect at work. Because you would prefer to volunteer your time to a worthy cause instead of writing a paper, you assume that the vast majority of other people also feel the same way you do.

20
Q

cross-sectional study

A

type of observational study that involves the analysis of data collected from a population, or a representative subset, at one specific point in time

middle school graphs

21
Q

naturalistic observation

A

observe behavior as it unfolds in a natural setting

22
Q

survey

A

use questionnaires and surveys to poll large groups of people

23
Q

case study/longitudinal study

A

OBSERVED

descriptive research approach to obtain an in-depth analysis of a person, group, or phenomenon.

A variety of techniques may be employed including personal interviews, direct-observation, psychometric tests, and archival records.

24
Q

descriptive study

A

he researcher wants to describe specific behavior as it occurs in the environment.

observation, case studies, and surveys

25
Q

correlational study

A

A correlation refers to a relationship between two variables.

26
Q

experimental study

A

cause and effect

controlled

27
Q

frequency distribution

A

A summary chart, showing how frequently each of the various scores in a set of data occurs.

28
Q

descriptive statistics

A

Measures of central tendency and dispersion.

29
Q

measure of central tendency

A

a single value that describes the way in which a group of data cluster around a central value. To put in other words, it is a way to describe the center of a data set

30
Q

standard deviation

A

a measure that is used to quantify the amount of variation or dispersion of a set of data values.

The Standard Deviation is a measure of how spread out numbers are.

31
Q

inferential statistics

A

the probability that an observed difference between groups

32
Q

random sample

A

people you randomly pull out of a population to test on them

33
Q

representative sample

A

a selected segment of a group that closely parallels the population as a whole in terms of the key variables and characteristics that are under examination.

For example, if roughly half of the total population of interest is female, a sample should made up of approximately 50 percent women in order to be representative.

34
Q

statistical significance***

A

given correlation is likely significant if the sample size is larger

35
Q

single-blind effect

A

subjects do not know if they are receiving a real drug or a placebo

36
Q

correlational study

A

strength and direction of a relationship