Chapter 1 Flashcards

1
Q

ratio variable

A

A variable that meets the criteria for interval variables but also has a meaningful zero point

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2
Q

levels

A

a discrete value or condition that a variable can take on

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3
Q

independent variable

A

a variable that we either manipulate or observer to determine its effects on the dependent variable

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4
Q

dependent variable

A

the outcome factor; the variable that may change in response to manipulations of the independent variable

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5
Q

confounding variable

A

any factor that affects the dependent variable, along with or instead of the independent variable

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6
Q

extraneous variable

A

a randomly distributed influence that detracts from the experimenters efforts to measure what was intended to be measured

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7
Q

noise

A

influences an experiment by making relations between variable less clear than they really are

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8
Q

reliability

A

the extent to which a test yields consistent results, as assessed by the consistency of scores on two halves of the test, on alternate forms of the test, or on retesting.

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9
Q

validity

A

the extent to which a test measures or predicts what it is supposed to

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10
Q

test-retest reliability

A

An assessment of the degree to which test scores are similar or stable over time versus the degree to which scores change or fluctuate upon repeated testings

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11
Q

predictive validity

A

The success with which a test predicts the behavior it is designed to predict; it is assessed by computing the correlation between test scores and the criterion behavior.

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12
Q

hypothesis testing

A

the process of drawing conclusions about whether a particular relation between variables is supported by the evidence

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13
Q

operational definition

A

a statement of the procedures used to define research variables

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14
Q

experiment

A

A research method in which an investigator manipulates one or more factors to observe the effect on some behavior or mental process

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15
Q

random assignment

A

assigning participants to experimental and control groups by chance, thus minimizing preexisting differences between those assigned to the different groups

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16
Q

single-blind experiment

A

an experiment in which the participants are unaware of which participants received the treatment

17
Q

placebo effect

A

something presented as a drug, but having no actual effect, experimental results caused by expectations alone; any effect on behavior caused by the administration of an inert substance or condition, which is assumed to be an active agent

18
Q

double-blind experiment

A

an experiment in which neither the experimenter nor the participants know which participants received which treatment

19
Q

demand characteristics

A

cues in an experiment that tell the participant what behavior is expected

20
Q

non-experiments

A

(studies with non-equivalent groups and participants are not randomly assigned to group or condition) Times-series designs, single-case designs, longitudinal design, correlational design

21
Q

correlation

A

a statistical relation between two or more variables such that systematic changes in the value of one variable are accompanied by systematic changes in the other

22
Q

between-groups research design

A

participants experience one and only one level of independent variable

23
Q

within-groups research design

A

the different levels of the independent variable are experienced by all participants in the study; also called a repeated-measure design

24
Q

order effect

A

refers to how a participant’s behavior changes when the dependent variable is presented a second time

25
Q

counterbalancing

A

minimizes order effects by varying the order of presentation of different levels of the independent variable from one participants to the next

26
Q

outliers analysis

A

refers to studies that examine the outliers- those participants in a study who behave very differently or who have extremely different results from the other participant

27
Q

archival studies

A

examines permanent/ongoing records of society

28
Q

population

A

(statistics) the entire aggregation of items from which samples can be drawn

29
Q

sample

A

the small group of participants, out of the total number available, that a researcher studies

30
Q

variable

A

any observation of a physical, attitudinal, or behavioral characteristic that can take on different value

31
Q

construct

A

an abstract or general idea inferred or derived from specific instances

32
Q

discrete observations

A

can take on only specific values (whole numbers); no other values can exist between these numbers

33
Q

continuous observations

A

can take on a full range of values (numbers out to many decimal points); there is an infinite number of potential values

34
Q

descriptive statistics

A

organize, summarize and communicate a group of numerical observations

35
Q

interval variable

A

is a variable that has numbers as its values; the distance (or interval) between pairs of consecutive numbers is assumed to be equal

36
Q

nominal variable

A

Variable is given descriptive names. No order or relationship among variables other than to separate them into groups. Ex: male, female, Republican, Democrat.

37
Q

ordinal variable

A

Implies order. Variables arranged in order, not necessarily equally spaced. Ex: marathon finishers–1st, 2nd, and 3rd place runners have differing finishing times.