Gravetter chp 1+2 Terminologi Flashcards

1
Q

Statistics

A

A set of mathematical procedures for organizing, summarizing, and and interpreting information.

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2
Q

Population

A

Characteristic of all the individuals of interest in a particular study.

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3
Q

Sample

A

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

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4
Q

Variable

A

A characteristic or condition that changes or has different values for different individuals. Fx depressionsscore for alle børn af forældre med alkoholproblemer.

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5
Q

Data set

A

Collection of measurements of observations.

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6
Q

Datum (sing)

A

A single measurement or observation, is commonly called a score or raw score.

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7
Q

Parameter

A

A value, usually numeric, that describes a population. Usually derived from measurements of the individuals in the population.

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8
Q

Statistic (sing)

A

A value, usually numeric, that describes a sample. Usually derived from measurements of the individuals in the population.

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9
Q

Descriptive statistics

A

Statistical procedures used to summarize, organize, and simplify data.

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10
Q

Inferential statistics

A

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

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11
Q

Sampling error

A

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

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12
Q

Correlational method

A

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

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13
Q

Experimental method

A

One variable is manipulated while another 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.

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14
Q

Independent variable

A

The one that is manipulated. Usually consists of two or more treatment conditions to which subjects are exposed. It consists of the antecedent conditions that were manipulated prior to observing the dependent variable.

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15
Q

Dependent variable

A

The one that is observed.

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16
Q

Control condition

A

Individuals in this condition do not receive the experimental treatment. Provides a baseline for comparison.

17
Q

Experimental condition

A

Here, the individuals receive the experimental treatment.

18
Q

Quasi-independent variable

A

In a nonexperimental study, this is the variable used to create the different groups of scores.

19
Q

Constructs

A

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

20
Q

Operational definition

A

Identifies a measurement procedure for measuring an external behavior and uses the resulting measurements as a definition and a measurement of a hypothetical construct. It has two components; first, it describes a set of operations for measuring a construct. Secondly, it defines the construct in terms of the resulting measurements.

21
Q

Discrete variable

A

Consists of separate, indivisible categories. No values can exist between two neighbouring categories.

22
Q

Continuous variable

A

There are an infinite number of possible values that fall between any two observed values. A continuous variable is divisible into an infinite number of fractional parts.

23
Q

Real limits

A

The boundaries of intervals for scores that are represented on a continuous number line. The real limit separating two adjacent scores is located exactly halfway between the scores. Each score has two real limits. Upper and lower real limit.

24
Q

Nominal scale

A

Consists of a set of categories that have different names. Measurements on a nominal scale label and categorize observations, but do not make any quantitative distinctions between objects.

25
Q

Ordinal scale

A

Consists of a set of categories that are organized in an ordered sequence. Measurements on an ordinal scale rank observations in terms of size or magnitude.

26
Q

Interval scale

A

Consists of ordered categories that are all intervals of exactly the same size. Equal differences between numbers on scale reflect equal differences in magnitude. However, the zero point on an interval scale is arbitrary and does not indicate a zero amount of the variable being measured.

27
Q

Ratio scale

A

An interval scale with the additional feature of an absolute zero point. With a ratio scale, ratios of numbers do reflect ratios of magnitude.

28
Q

Frequency distribution

A

An organized tabulation of the number of individuals located in each category on the scale of measurement.

29
Q

Symmetrical distribution

A

In this, it is possible to draw a vertical line through the middle so that one side is a mirror image of the other.

30
Q

Skewed distribution

A

Here, the scores tend to pile up toward one end of the scale and taper off gradually at the other end.

31
Q

Tail of the distribution

A

The low end of a skewed distribution.

32
Q

Rank/Percentile rank

A

The percentage of individuals in the distribution with scores at or below the particular value.

33
Q

Percentile

A

This is the what a score is called when it is identified by its percentile rank.