chapter 1 (intro) Flashcards

1
Q

research

A

process of gathering info systematically to answer questions and test theories. uses statistics.

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2
Q

data

A

information collected as part of a research project and expressed as numbers.

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3
Q

statistics

A

set of mathematical techniques for organizing and analyzing data. sometimes also refers to numbers obtained from statistical techniques.

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4
Q

theory

A

generalized explanation of the relationship between 2+ variables.

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5
Q

variable

A

any trait that can change values from case to case.

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6
Q

independent variable

A

variable that is identified as a causal variable. causes dependent.

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7
Q

dependent variable

A

variable identified as an effect, result, or outcome. thought to be caused by independent variable.

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8
Q

hypothesis

A

statement about relationship between variables derived from a theory. more specific than theory. terms and concepts are fully defined.

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9
Q

descriptive statistics

A

branch of stats concerned with:
1. summarizing distribution of single variable.
2. measuring relationship between two or more variables.
describing raw study data. goal is data reduction.

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10
Q

data reduction

A

summarizing many scores with a few statistics. major goal of descriptive stats.

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11
Q

measures of association

A

stats that summarize the strength and direction of relationship between variables. provide clues about causation.

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12
Q

sample

A

carefully chosen subset of population.

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13
Q

population

A

total collection of cases in which researcher is interested.

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14
Q

inferential statistics

A

branch of stats concerned with generalizing from samples to populations. two general uses: estimation and hypothesis testing.

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15
Q

discrete variable

A

variable with basic unit of measurement that cannot be subdivided. (ex: number of siblings, people per household.)

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16
Q

continuous

A

variable with a unit of measurement that can be subdivided indefinitely. (ex: time.)

17
Q

level of measurement

A

mathematical characteristic of variable and major criterion for selecting statistical techniques. determined from examination of response categories.
the three levels are:
1. nominal.
2. ordinal.
3. interval-ratio.

18
Q

response categories

A

variable’s possible attributes, qualities, characteristics.

19
Q

nominal variable

A

variable whose response categories can be classified but not ordered. category criteria:
1. mutually exclusive.
2. exhaustive.
3. relatively homogeneous.

20
Q

ordinal variable

A

variable whose response categories can be classified and ordered. (ex: options from lower to upper class, likert scale.)

21
Q

interval-ratio variable

A

variable whose response categories can be classified and ordered and have equal distance between them.