1.2 research methods used by psychologists Flashcards

1
Q

descriptive methods

A

Research methods whose main purpose is to provide objective and detailed descriptions of BEHAVIOR AND MENTAL PROCESS.

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2
Q

laboratory observation

A

A descriptive research method in which the behavior of interest is unobtrusively OBSERVED IN THE LABRATORY.

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3
Q

naturalistic observation

A

A descriptive research method in which the behavior of interest is unobtrusively OBSERVED IN ITS NATURAL SETTING.

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4
Q

participant observation

A

A descriptive research method in which the OBSERVER becomes PART OF THE GROUP BEING OBSERVED.

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5
Q

case study

A

A descriptive research method in which the researcher STUDIES THE INDIVIDUAL IN DEPTH over an extended period of time.

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6
Q

survey research

A

A descriptive research method in which the researcher uses QUESTONARES AND SERVEYS to COLLECT INFO about the BEHAVIOR, BELEIFS, AND ATTITUDES of particular groups of people.

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7
Q

population

A

The ENTIRE GROUP of people that a researcher is studying.

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8
Q

sample

A

The SUBSET OF A POPULATION that actually participates in a research study.

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9
Q

random sampling

A

A sampling technique that obtains a representative sample of a population by ensuring that EACH INDIVIDUAL IN THE POPULATION HAS AN EQUAL CHANCE TO BE IN THE SAMPLE.

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10
Q

correlational study

A

A research study in which 2 VARIABLES ARE MEASURED to determine if they are related (HOW WELL EITHER ONE PREDICTS THE OTHER)

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11
Q

variable

A

Any factor that can take on more than one value.

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12
Q

positive correlation

A

A DIRECT RELATIONSHIP between two variables.

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13
Q

correlation coefficient

A

A statistic that tells us the TYPE OF STRENGTH OF THE RELATIONSHIP BETWEEN 2 VARIABLES The sign of the coefficient (+ or −) indicates the type of correlation— positive or negative, respectively. The absolute value of the coefficient (0.0 to 1.0)

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14
Q

negative correlation

A

An INVERSE RELATIONSHIP between two variables.

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15
Q

scatterplot

A

A visual depiction of correlational data in which each data point REPRESENTS THE SCORES on the 2 VARIABLES for each participant

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16
Q

third-variable problem

A

An explanation of a CORRELATION BETWEEN 2 VARIABLES in terms of another (third) variable that could possibly be responsible for the observed relationship between the two variables.

17
Q

spurious correlation

A

A correlation in which the variables are related through their relationship with one or more other variables but not through a causal mechanism.

18
Q

random assignment

A

A control measure in which participants are randomly assigned to groups in order to equalize participant characteristics across the various groups in an experiment.

19
Q

independent variable

A

In an experiment, the variable that is a hypothesized cause and thus is manipulated by the experimenter.

20
Q

dependent variable

A

In an experiment, the variable that is hypothesized to be affected by the independent variable and thus is measured by the experimenter.

21
Q

experiment

A

A research method in which the researcher manipulates one or more independent variables and measures their effect on one or more dependent variables while controlling other potentially relevant variables.

22
Q

experimental group

A

In an experiment, the group exposed to the independent variable.

23
Q

control group

A

In an experiment, the group not exposed to the independent variable.

24
Q

operational definition

A

A description of the operations or procedures that a researcher uses to manipulate or measure a variable.

25
Q

placebo effect

A

Improvement due to the expectation of improving because of receiving treatment.

26
Q

placebo group

A

A control group of participants who believe they are receiving treatment, but who are only receiving a placebo.

27
Q

double-blind procedure

A

A control measure in an experiment in which neither the experimenters nor the participants know which participants are in the experimental and control groups.

27
Q

placebo

A

An inactive pill or a sham treatment that has no known effects.

27
Q

inferential statistical analyses

A

Statistical analyses that allow researchers to draw conclusions about the results of a study by determining the probability that the results are due to random variation (chance). The results are statistically significant if this probability is .05 or less.

28
Q

meta-analysis

A

A statistical technique that combines the results of a large number of studies on one experimental question into one analysis to arrive at an overall conclusion.