Chapter 1 Flashcards

1
Q

-Are often defined as facts and figures, such as average income, crime rate, birth rate, basketball batting averages, and so on.
-Informative and time saving because they condense large quantities of information into few simple figures.
-a set of mathematical procedures for organizing, summarizing and interpreting information.

A

Statistics

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2
Q

-the entire group that a researcher wishes to study
-the entire set of the individuals of interest for a particular
research question.

A

Population

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3
Q

-a set of individuals selected from a population, usually intended to
represent the population in a research study.

A

Sample

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4
Q

-Something that can change or have different values
-is a characteristic or condition that changes or has different values for different individuals.

A

Variable

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5
Q

-Score or raw score

A

Data/Datum

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6
Q

-Measurements or observation

A

Data

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7
Q

-is a collection of measurements or observations.

A

Data set

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8
Q

-a single measurement or observation

A

Datum

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9
Q

-is a value, usually a numerical value, that describes a population. A
parameter is usually derived from measurements of the individuals in the population

A

Parameter

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10
Q

-is a value, usually a numerical value, that describes a sample. A statistic is usually derived from measurements of the individuals in the sample.

A

Statistic

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11
Q

-are statistical procedures used to summarize, organize, and
simplify data.

A

Descriptive Statistics

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12
Q

-consist of techniques that allow us to study samples and
then make generalizations about the populations from which they were selected.

A

Inferential statistics

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13
Q

is the naturally occurring discrepancy, or error, that exists
between a sample statistic and the corresponding population parameter.

A

Sampling Error

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14
Q

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

A

Correlational Method

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15
Q

Experimental method`s Two characteristics that differentiate experiments from other types or research studies:

A

-Manipulation
-Control

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16
Q

Experimental Characteristics where, The researcher manipulates one variable by changing its value from one level to another. A second variable is observed (measured) to determine whether the manipulation causes changes to occur.

A

Manipulation

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17
Q

Experimental Method characteristics where, The researcher must exercise control over the research situation to ensure that other, extraneous variables do not influence the relationship being
examined.

A

Control

18
Q

The two general categories of variables that researchers must consider:

A

-Participant Variables
-Environmental Variables

19
Q

These are characteristics such as age, gender, and
intelligence that vary from one individual to another.

A

Participant Variables

20
Q

-These are characteristics of the environment such
as lighting, time of day, and weather conditions.

A

Environmental Variables

21
Q

Three Basic techniques to control other variables

A

-Random Assignment
-Matching
-Holding them constant

22
Q

A technique which each participant has an
equal chance of being assigned to each of the treatment conditions.

A

Random Assignment

23
Q

Technique ensure equivalent groups or equivalent environmental

A

Matching

24
Q

Technique that the researcher can be certain that one group
is not noticeably older than another.

A

Holding them constant

25
Q

-one variable is manipulated while another variable
is observed and measured. To establish a cause-and-effect relationship between the two variables, an experiment attempts to control all other variables to prevent them from influencing the results.

A

Experimental Method

26
Q

-Variable that is manipulated by the researcher.

A

Independent Variable

27
Q

the variable that is observed to assess the effect of the
treatment.

A

Dependent Variable

28
Q

in this, the individuals do not receive the experimental treatment.
Instead, they either receive no treatment or they receive a neutral, placebo treatment.

A

Control Condition

29
Q

The individuals in the control condition are
often called

A

Control Group

30
Q

In this the individuals do receive the experimental treatment

A

Experimental Condition

31
Q

In a nonexperimental study, the “independent” variable that is used to create the
different groups of scores

A

quasi-independent variable

32
Q

are internal attributes or
characteristics that cannot be directly observed but are useful for describing and
explaining behavior.

A

Constructs

33
Q

identifies a measurement procedure (a set of operations)
for measuring an external behavior and uses the resulting measurements as a
definition and a measurement of an internal construct.

A

Operational Definition

34
Q

consists of separate, indivisible categories. No values can
exist between two neighboring categories.

A

Discrete Variable

35
Q

-there are an infinite number of possible values that fall between any two observed values
-divisible into an infinite number of fractional parts.

A

Continous Variable

36
Q

-are the boundaries of intervals for scores that are represented on a continuous number line.
-separating two adjacent scores is located
exactly halfway between the scores.

A

Real Limit

37
Q

-at the top of the interval

A

Upper real limit

38
Q

is at the bottom of the interval

A

Lower real limit

39
Q

-consists of a set of categories that have different names.

A

Nominal scale

40
Q

-consists of a set of categories that are organized in an ordered sequence.

A

Ordinal Scale

41
Q

-consists of ordered categories that are all intervals of exactly the same size

A

Interval scale

42
Q

-an interval scale with the additional feature of an absolute zero point

A

Ratio scale