Quantitative

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22 Terms

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Quantitative

Numerical data that can be measured, used in statistical analysis.

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Mean

The average value in a data set.

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Median

The middle value in a data set when ordered.

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Mode

The value that appears most frequently in a data set.

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Types of Data Presentation

Pie chart, Bar chart, Histogram, Scatterplots.

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Pie Chart

Helps organize and show data as a percentage of a whole, using a circle and 'slices' for specific categories.

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Bar Chart

A chart used to show distribution and comparisons of data points across different subgroups. Shows highest or lowest.

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Histogram

A graph used to summarize continuous data, showing major features of data distribution without gaps between bars.

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Scatterplot

A plot that identifies a possible relationship between changes in two different sets of variables.

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Descriptive Research

A type of research whose purpose is to describe characteristics of a population or phenomenon.

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Correlational Research

A type of research that examines the relationship between two or more variables without manipulating them, where correlation does not imply causation.

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Experimental Research

A type of research that determines cause-and-effect relationships by manipulating an IV and observing effects on DV, with random assignment.

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Quasi-Experimental Research

A type of research that assesses cause-and-effect like experimental research but without random assignment.

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Causal-Comparative Research

A type of research that identifies cause-and-effect relationships by comparing groups, without researcher manipulation or randomization.

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Descriptive Survey

Survey focusing on describing the characteristics of a phenomenon.

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Analytical Survey

A survey to understand relationships and potential causes by examining two or more variables.

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Open-ended Questions

Questions that allow respondents to generate their own and elaborate on their answers.

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Closed-ended Questions

Questions that offer a limited set of predefined answer options, requiring respondents to choose from them.

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Hypothesis

An educated guess or prediction explaining possible outcomes in a study based on previous studies.

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Null Hypothesis (H0)

The statement of no or opposite relationship between two variables.

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Alternate Hypothesis (H1)

The research hypothesis indicating there is a relationship between variables.

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Significance Level

The probability (P) set by researchers, typically at 0.01, 0.05, or 0.1, below which results allow the rejection of the null hypothesis.