psych exam 1 key terms Flashcards

1
Q

statistics

A

a set of mathematical procedures for organizing, summarizing, and interpreting information

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2
Q

population

A

the set 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

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4
Q

variable

A

characteristic or condition that changes or has different values for different individuals

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5
Q

data

A

measurements or observations

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6
Q

data set

A

a collection of measurements or observations

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7
Q

datum

A

is a single measurement or observation and can be called (raw)score

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8
Q

raw score/score

A

a datum

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9
Q

parameter

A

a (numerical) value that describes a population

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10
Q

statistic

A

a (numerical) value that describes a sample

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11
Q

descriptive statistics

A

statistical procedures used to summarize, organize, and simplify data

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12
Q

inferential statistics

A

techniques that allow us to study samples and then make generalizations about that population

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13
Q

sampling error

A

naturally occurring error between a sample statistic and the corresponding population parameter

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14
Q

constructs

A

internal attributes or characteristics that cannot be directly observed but are useful for behavior

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15
Q

operational definition

A

it describes a set of operations for measuring a construct. It defines the contract in terms of the resulting measurements

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16
Q

discrete variable

A

separate, indivisible categories. no values can exist between two neighboring categories

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17
Q

continuous variable

A

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

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18
Q

real limits

A

the boundaries of intervals for scores that are represented on a continuous number line

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19
Q

upper real limit

A

at the top of the score of a real limit

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20
Q

lower real limit

A

at the bottom of the score of a real limit

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21
Q

nominal scale

A

consists of a set of categories that have different name. Measurements do not make any quantitative distinctions between observations

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22
Q

ordinal scale

A

a set of categories that are organized in an ordered sequence. Observed in terms of size or magnitude

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23
Q

interval scale

A

ordering categories that are all intervals of exactly the same size. (does not indicate a zero amount)

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24
Q

ratio scale

A

an interval scale with the additional feature that a score of zero indicates none of the variable being measured. (ratios of numbers do reflect ratios of magnitude)

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25
Q

descriptive research/strategy

A

measuring one or more separate variables for each individual with intent of describing the individual variables

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26
Q

correlation method

A

two different variable are observed to determine if there is a relationship between them

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27
Q

experiment method

A

one variable is manipulated while another variable is observed and measured

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28
Q

independent variable

A

the variable that is manipulated

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29
Q

dependent variable

A

Is observed to assess the effect of the treatment

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30
Q

control condition

A

individuals reciter either no treatment or they receive a neutral, placebo treatment. Used to compare with experimental condition

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31
Q

experimental condition

A

individuals who receive experimental treatment

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32
Q

nonequivalent groups study

A
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33
Q

pre-post study

A
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34
Q

quasi-independent variable

A

the “independent variable” that is used to create the different groups of scores

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35
Q

frequency distribution

A

an organized tabulation showing the number of individuals located in each category on the scale of measurement

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36
Q

range

A
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37
Q

group frequency distribution

A
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38
Q

class interval

A
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39
Q

apparent limits

A
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40
Q

histogram

A
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41
Q

relative frequency

42
Q

symmetrical distribution

A

it is possible to draw a vertical lime through the middle so that one side of the distribution is a mirror image of the other

43
Q

positively skewed distribution

A

a skewed distribution with the tail on the right hand side (points to the positive side)

44
Q

negatively skewed distribution

A

a skewed distribution with the tail on the left hand side (points to the negative side)

45
Q

central tendency

A

a statistical measure to determine a single score that defines the center of a distribution (find the single score)

46
Q

weighted mean

47
Q

bimodal

48
Q

multimodal

49
Q

major mode

50
Q

minor mode

51
Q

variability

A

provides a quantitative ,easier of the differences between scores in a distribution and describes the degree to which the scores are spread out or clustered together

52
Q

deviation (score)

53
Q

variance

A

equals the mean of the squared deviations. the average squared distance from the mean

54
Q

standard deviation

A

the square root of the variance and provides a measure of the standard, or average distance from the mean

55
Q

population variance (o^2)

A

represented by the symbol s2 and equals the mean squared distance from the mean. Is obtained by dividing the sum of squares (SS) by N

56
Q

sample variance (s^2)

A

equals the mean squared distance from the mean. Is obtained by diving the sum of squares (SS) by n-1

57
Q

degree of freedom (df)

A

determines the number of scores in the same that are independent and free to vary (df=n-1)

58
Q

unbiased statistic

A

a sample statistic is unbiased if the average value of the statistic is equal to the population parameter

59
Q

linear equation (correlation)

A

describes the relationship between X and Y. can be expressed by: Y=bX+a. Describes: direction, form, and strength or consistency

60
Q

regression

A

technique for finding the best fitting straight line for a set of data (the straight line is a regression line)

61
Q

theoretical (social research)

A

much of the research is concerned with developing, exploring, or testing theories or ideas that social researchers have about how the world operates

62
Q

empirical research

A

based on direct observation and measurements of reality

63
Q

casual

A

(pertaining to cause-effect question/hypothesis/relationship) something is casual if it leads to an outcome or makes an outcome happen

64
Q

casual relationship

A

a cause-effect relationship

65
Q

relational studies

A

a study that investigates the connection between two or more variables

66
Q

casual studies

A

a study investigates a casual relationship between two variables

68
Q

cross sectional study

A

a study that takes place at a single point in time

69
Q

repeated measures

A

two or more waves or measurement over time

70
Q

variable

A

any entity that can take on different values

71
Q

quantitative

A

a numerical representation of some object. This type of variable is measured using numbers

72
Q

attribute

A

a specific value of a variable

73
Q

exhaustive

A

The property of a variable that occurs when you include all possible answerable responses

74
Q

mutually exclusive

A

the property of a variable that ensures that the respondent is not able to assign two attributes simultaneously

75
Q

coding

A

the process of categorizing qualitative data

76
Q

content analysis

A

the analysis of text documents. Can be qualitative, quantitative, or both. Major purpose of content analysis is to identify patterns in text

77
Q

exception dictionary

A

a dictionary that included words like “is, and, of” in a content analysis study

78
Q

phenomenology

A

a philosophical perspective as well as an approach to qualitative methodology that focuses on peoples subjective experiences and interpretations of the world

79
Q

qualitative

A

the descriptive nonnumerical characteristics of some objects. A descriptive nonnumerical observation

80
Q

validity

A

the best available approximation of the truth of a given proposition, inference, or conclusion

81
Q

conclusion validity

A

the degree to which conclusions you reach about relationships in your data are reasonable

82
Q

internal validity

A

the approximate truth of inferences regarding cause-effect or casual relationships

83
Q

construct validity

A

the degree to which inferences can legitimately be made from the operationalizations in your study to the theoretical constructs on which those operationalizations are based

84
Q

external validity

A

the degree to which the conclusion in your study would hold for other persons in other places and at other times

85
Q

threats to validity

A

reasons your conclusion or inferences might be wrong

86
Q

average item-total correlation

A

an estimate of internal consistency reliability where you first create a total score across all items and then compute the correlation of each item with the total

87
Q

average inter-item correlation

A

an estimate of internal consistency reliability that uses the average of the correlations of all pairs of items

88
Q

Cohens Kappa

A

a statistical estimate of inter-rater agreement or reliability that is more robust than percent agreement because it adjusts for the probability that some agreement is due to random chance

89
Q

concurrent validity

A

an operationalizations ability to distinguish between groups that it should theoretically be able to distinguish between

90
Q

content validity

A

a check of the operationalization against the relevant content domain for the construct

91
Q

convergent validity

A

the degree to which the operationalization is similar to other operationalizations to which it should be theoretically similar

92
Q

criterion related validity

A

the validity of a measure based on its relationship to another independent measure as predicted by your theory of how the measure should behave

93
Q

Cronbachs Alpha

A

one specific method of estimating the internal consistency reliability of a measure.

94
Q

inter-rater or inter-observer reliability

A

the degree of agreement or correlation between the ratings or coding of two independent raters or observers of the same phenomenon

95
Q

internal consistency reliability

A

a correlation that asses the degree to which items on the same multi-item instrument are interrelated

96
Q

interval level of measurement

A

measuring a variable on a scale where the distance between numbers is interpretable

97
Q

level of measurement

A

the relationship between numerical values on a measure

98
Q

mono-method bias

A

a threat to construct validity that occurs because you use only a single method of measurement

99
Q

predictive validity

A

a type of constrict validity based on the idea that your measure is able to predict what is theoretically should be able to predict

100
Q

ratio level of measurement

A

measuring a variable on a scale where the distance between numbers is interpretable and there I an absolute zero value