Statistical Analysis Flashcards

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Flashcards covering key vocabulary and concepts from the lecture notes on statistical analysis.

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19 Terms

1
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Quantitative Academic Research

Understanding and evaluating quantitative academic research.

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Statistical Analysis in Public Discourse

Being critical about how statistics are used in public discourse (e.g., in the media).

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Data Analysis Decisions

Taking well-informed decisions about how to analyze your own data to answer a specific research question.

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SPSS

Using SPSS to organize your data, run the chosen analyses & interpret your SPSS output.

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Population

The set of all possible cases of interest.

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Sample

A set of cases that does not include every member of the population.

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Descriptive Statistics

Summarizing and describing the main features of a dataset.

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Inferential Statistics

Making inferences and generalizations about a population based on sample data.

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Variable

A condition or quality that can differ from one case to another.

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Case

An entity that displays or possesses the traits of a variable (unit of analysis).

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Nominal Level of Measurement

Group classifications with no meaningful ranking possible and arbitrary numerical coding.

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Ordinal Level of Measurement

Meaningful ranking where intervals between categories are unknown or not equal.

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Interval Level of Measurement

Meaningful ranking with equal distances between categories.

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Ratio Level of Measurement

All properties of interval level plus an absolute and true zero point.

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Discrete Variable

A variable that has a finite number of values.

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Continuous Variable

A variable that can vary in quantity by infinitesimally small degrees.

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Mean

A measure of central tendency calculated by summing all values and dividing by the number of observations; best used for interval/ratio variables.

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Median

A measure of central tendency representing the middle value when data is sorted; suitable for ordinal and interval/ratio variables and robust to outliers.

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Mode

The category with the largest amount of cases; used for nominal, ordinal, or interval/ratio variables.