Data Collection and Analysis Errors

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Flashcards covering key concepts and terminology related to data collection, error types, data editing and coding, confidence intervals, and reporting basics.

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23 Terms

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Sampling Error

Difference between results obtained from a sample and results that would have been obtained from the entire population.

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Noncoverage Error

Error arising from failure to include qualified elements of the defined population in the sampling frame.

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Nonresponse Error

Error from failing to obtain information from some elements of the population that were selected for the sample.

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Response Error

Error that occurs when an individual provides an inaccurate response to a survey item.

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Total Error

The overall error that encompasses all the different types of errors possible in data collection.

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Editing

The inspection and correction of the data received from each element of the sample.

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Coding

The process of transforming raw data into symbols or numbers for analysis.

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Open-Ended Questions

Questions that allow respondents to answer in their own words without predefined options.

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Close-Ended Questions

Questions that provide respondents with fixed response options, often using numbers for answers.

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Code Book

A document that contains explicit directions on how data from collection forms are coded.

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Blunder

An error that arises during editing, coding, or data entry, often due to researcher carelessness.

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ITEM NONRESPONSE

Error arising when a respondent agrees to an interview but refuses to answer specific questions.

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Confidence Interval

A range of values that is likely to contain the population parameter with a certain degree of confidence.

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Median

The middle value in a frequency table when the data is arranged in ascending order.

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Mode

The value that appears most frequently in a data set.

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Cumulative Percent

The running total of frequencies or percentages for a dataset, typically used to identify medians and quartiles.

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Cramer's V

A measure of association for nominal variables, indicating the strength of a relationship.

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Unstandardized Coefficient

Amount of influence of each significant predictor variable in a regression analysis.

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Ethical Visual

A visual representation that is objective and accurately presents the information without misleading the audience.

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Executive Summary

A section of a report that provides a concise overview of the main points and findings.

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Limitations

A section that discusses the constraints and potential weaknesses of the research, adding credibility to the study.

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Table vs. Chart

A table organizes data in rows and columns for precise values, while a chart visually represents data using shapes and colors.

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Pie Chart

A circular statistical graphic divided into slices to illustrate numerical proportions.