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.

A

Data

20
Q

Collection of measurements or observations.

A

Data Set

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.

A

Construct

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
Q

Score comparison method where the researcher does not control which participants go into which group.

A

Nonequivalent Groups Study

26
Q

Set of ordered categories that are all intervals of exactly the same size.

A

Interval Scale

27
Q

Set of categories that have different names.

A

Nominal Scale

28
Q

Set of categories that are organized in an ordered sequence.

A

Ordinal Scale

29
Q

Observing two different variables to determine whether there is a relationship between them.

A

Correlational Method

30
Q

Value that is manipulated by the researcher.

A

Independent Variable

31
Q

Characteristic or condition that changes or has different values for different individuals.

A

Variable

32
Q

Method of using the passage of time to create the groups of scores.

A

Pre-Post Study