Chapter 1 Flashcards

1
Q

Group that receives the experimental treatment.

A

Experimental Condition

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2
Q

Value consisting of separate, indivisible categories, wherein no values can exist between two neighboring categories.

A

Discrete Variable

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3
Q

Measuring separate variables with the intent of simply describing the individual variables.

A

Descriptive Research

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4
Q

Manipulating one variable while another variable is observed and measured.

A

Experimental Method

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5
Q

Value that is used to create the different groups of scores.

A

Quasi-independent Variable

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6
Q

Group that receives no treatment or receives a neutral; placebo treatment.

A

Control Conditon

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7
Q

Value which is divisible into an infinite number of fractional parts.

A

Continuous Variable

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8
Q

Procedure used to summarize, organize, and simplify data.

A

Descriptive Statistic

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9
Q

Technique that allows one to make generalizations about the populations from which samples were selected.

A

Inferential Statistic

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10
Q

Value that describes a population usually derived from the measurements of the individuals in the population. Ex; average age

A

Parameters

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11
Q

A group of people.

A

Population

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12
Q

Set of individuals selected to represent the population in a research study.

A

Sample

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13
Q

Procedure for measuring external behavior wherein the resulting measurements measure a hypothetical construct.

A

Operational Definition

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14
Q

Single measurement or observation commonly called a score or raw score.

A

Datum

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15
Q

Boundary of intervals for scores that are represented on a continuous number line.

A

Real Limit

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16
Q

Boundary at the top of the interval.

A

Upper Real Limit (URL)

17
Q

Boundary at the bottom of the interval.

A

Lower Real Limit (LRL)

18
Q

Value that describes a sample, usually derived from measurements of the individuals in the sample.

A

Statistics

19
Q

Measurements or observations.

20
Q

Collection of measurements or observations.

21
Q

Naturally occurring discrepancy between a sample statistic and the corresponding population parameter.

A

Sampling Error

22
Q

Internal attribute that cannot be directly observed but is useful for describing and explaining behavior.

23
Q

Set of ordered categories wherein a zero score indicates none of the variable being measured.

A

Ratio Scale

24
Q

Value that is observed to assess the effect of treatment.

A

Dependent Variable

25
Score comparison method where the researcher does not control which participants go into which group.
Nonequivalent Groups Study
26
Set of ordered categories that are all intervals of exactly the same size.
Interval Scale
27
Set of categories that have different names.
Nominal Scale
28
Set of categories that are organized in an ordered sequence.
Ordinal Scale
29
Observing two different variables to determine whether there is a relationship between them.
Correlational Method
30
Value that is manipulated by the researcher.
Independent Variable
31
Characteristic or condition that changes or has different values for different individuals.
Variable
32
Method of using the passage of time to create the groups of scores.
Pre-Post Study