Data Collection Quiz 81 (10 MCQs)

This set of multiple-choice questions evaluates understanding of character recognition technologies (OCR, MICR, OMR), display technologies (LCD), and data collection methods (desk research, cross-verification, raw data, statistical facts). It tests skills in survey design, attitude measurement, and data reliability, including the use of Likert scales and self-reports.

Quiz Instructions

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1. Character readers are those devices which read the characters printed on the source documents and then convert them directly into computer-usable input. Which of the following is not a character reader?
2. Which of the following represents an example of data?
3. Facts or statistics gathered from experimentation.
4. Which primary data collection method involves collecting data by asking participants to rate or rank items based on their preferences or opinions?
5. Why should you research information and use more than one source?
6. Criminal activity report where data is gathered and reported by the Federal Bureau of Investigation.
7. The need of objective observation is
8. What is one advantage of desk research?
9. This data table shows the results of an investigation. What information should be used for the column headings marked X?
10. ..... are defined as people's written or oral accounts of their thoughts, feelings, or actions.

Frequently Asked Questions

What is the primary purpose of data collection in research?

The primary purpose of data collection is to gather information that can be analyzed to answer research questions or test hypotheses. This information can be qualitative or quantitative and helps researchers understand patterns, relationships, and trends.

How do Likert scales contribute to data collection?

Likert scales are used to measure attitudes or opinions by asking respondents to rate their level of agreement or disagreement with a series of statements. This method provides a structured way to quantify subjective data, making it easier to analyze and compare responses.

What is the role of objective observation in data collection?

Objective observation involves systematically recording data without personal bias, ensuring that the information collected is factual and reliable. This method is crucial for obtaining unbiased data, especially in experimental settings where precise measurements are required.

How does cross-verification enhance the reliability of data?

Cross-verification involves comparing data from multiple sources to ensure accuracy and consistency. This process helps identify and correct errors, thereby increasing the reliability and validity of the collected data.

What is the significance of using multiple sources in data collection?

Using multiple sources in data collection helps to gather a comprehensive and diverse set of information, reducing the risk of bias and increasing the robustness of the findings. This approach ensures that the data reflects a broader perspective and is more representative of the research topic.