Chapter 8: Elementary Quantitative Data Analysis Flashcards

1
Q

Quantitative data analysis

A

Statistical techniques used to describe and analyze variation in quantitative measures

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2
Q

Statistic

A

a numerical description of some feature of a variable or variables in a sample from a larger population

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3
Q

Descriptivie statistics

A

Statistics used to describe the distribution of and relationship among variables

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4
Q

Inferential statistics

A

Statistics used to estimate how likely it is that a statistical result based on data from a randoms ample is representative of the population from which the sample is assumed to have beeen selected

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5
Q

Data cleaning

A

The process of checking data for errors after the data have been entered in a computer file

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6
Q

Central tendency

A

The most common value (for variables measured at the nominal level) or the value around which cases tend to center (for a quantitative variable

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7
Q

Variability

A

The extent to which cases are spread out throught he distribution or clustered around just one value

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8
Q

Skewness

A

The extent to which cases are clustered more at one or the other end of the distribution of a quantitative variable rather than ina symmetric pattern around its center. Skew can be positive (a right skew), witht he number of cases tapering off in the positive direction, or negative (a left skew), with the number of cases tapering off in the negative direction

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9
Q

Three features in describing the shape of the distribution

A
  1. Central Tendency
  2. Variability
  3. Skewness
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10
Q

Bar chart

A

A graphic for qualitative variables in which the variable’s distribution is displayed with solid bars separated by spaces

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11
Q

Histogram

A

A graphic for quantitative variables in which the variable’s distribution is displayed with adjacent bars

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12
Q

Frequency polygon

A

A graphic for quantitative variables in which a continuous line connects data points representing the variable’s distribution

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13
Q

Frequency distribution

A

Numerical display showing the number of cases, and usually the percentage of cases (the relative frequencies), corresponding to each value or group of values of a variable

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14
Q

Percentage

A

The relative frequency, compute by dividing the frequency of cases in a particular category by the total number of cases and multiplying by 100

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15
Q

Base number (N)

A

The total number of cases in a distribution

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16
Q

Mode (probability average)

A

The most frequent value in a distribution; also termed the probability average

17
Q

Bimodal

A

A distribution in which two nonadjacent categories have about the same number of cases and these categories have more cases than any others

18
Q

Unimodal

A

A distribution of a variable in which only one value is the most frequent

19
Q

Median

A

The position average, or the point, that divides a distribution in half (the 50th percentile)

20
Q

Mean

A

The arithmetic, or weighted, average compute by adding the value of all the cases and dividing by the total number of cases

21
Q

Range

A

The true upper limit in a distribution minus the true lower limit (or the highest rounded value minus the lowest rounded value, plus 1)

22
Q

Outlier

A

An exceptionally high or low value in a distribution

23
Q

Interquartile range

A

The range in a distribution between the end of the 1st quartile and the beginning of the 3rd quartile

24
Q

Quartiles

A

The points in a distribution corresponding to the first 25% of the cases, the first 50% of the cases, and the first 75% of the cases

25
Q

Variance

A

A statistic that measures the variability of a distribution as the average squared deviation of each case from the mean

26
Q

Standard deviation

A

The square root of the average squared deviation of each case from the mean

27
Q

Normal distribution

A

A symmetric distribution shaped like a bell and centered around the population mean, with the number of cases tapering off in a predicatable pattern on both sides of the mean

28
Q

Cross-tabulation (crosstab)

A

In the simplest case, a bivariate (two-variable) distribution showing the distribution of one variable for each category of another variable; can also be elaborated using three or more variables

29
Q

Measure of association

A

A type of descriptive statistic that summarizes the strength of an association

30
Q

Gamma

A

A measure of association that is sometimes used in cross-tabular analysis

31
Q

Chi-square

A

An inferential statistic used to test hypothese about relationships between two or more variables in a cross-tabulation

32
Q

Statistical significance

A

The mathematical likelihood that an association is not the result of chance, judged by a criterion the analyst sets (often that the probability is less than 5 out of 100, or p

33
Q

Extraneous variable

A

A variable that influence influences both the independent and dependent variables to create a spurious association between them that dissappears when the extraneous variation is controlled

34
Q

Elaboration analysis

A

The process of introducing a third variable into an analysis to better understand - to elaborate - the bivariate (two-ovariable) relationship under consideration; additional control variables also can be introduced

35
Q

Secondary data analysis

A

The method of using preexisting data in a different way or to answer a different research question that intended by those who collected the data

36
Q

Secondary data

A

Previously collected data that are used in a new analysis

37
Q

Big data

A

Data produced or accessible in computer-readable form that is produced by people, available to social scientists, and manageable with today’s computers

38
Q

Ngrams

A

Frequency graphs produced by Google’s database of all words printed in more than one third of the world’s books over time (with coverage still expanding).