Qualitative And Quantitative Research Quiz!
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Are you familiar with quantitative and qualitative research? Take this well-researched quiz to find how well you understand the terms. The main objective of qualitative research is to provide a complete detailed description of the research topic, whereas the quantitative analysis concentrates more on counting and categorizing features and building statistical models and figures to explain what is examined. What else do you know? Take the quiz and find out. If you like the quiz, do share it with your friends to see who knows more.
- 1.
The most basic distinction between types of data is that some data are quantitative while other data are qualitative. Quantitative data generally consists of:
- A.
Numbers
- B.
Equations
- C.
Open-ended responses
- D.
Survey and questionnaire data
- E.
Any data can be considered quantitative.
Correct Answer
A. NumbersExplanation
Quantitative data refers to information that can be measured or expressed numerically. It includes numbers, such as measurements, counts, or ratings. In this case, the answer "Numbers" correctly identifies quantitative data as one of the types of data. Quantitative data can be analyzed using mathematical and statistical methods to draw conclusions and make predictions. It is different from qualitative data, which is descriptive and non-numerical in nature.Rate this question:
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- 2.
Qualitative data generally can include:
- A.
Only written material that respondents provide in response to open-ended items.
- B.
Any sort of data that can be summarized with numbers.
- C.
Text, pictures, videos, sound recordings.
- D.
Survey and questionnaire data.
- E.
Equations
Correct Answer
C. Text, pictures, videos, sound recordings.Explanation
Qualitative data refers to non-numerical data that is collected through observations, interviews, or open-ended questions. It focuses on capturing the richness and depth of information rather than quantifying it. The answer "Text, pictures, videos, sound recordings" aligns with this definition as these forms of data capture subjective experiences, opinions, and behaviors. They provide descriptive and contextual information that cannot be easily summarized with numbers.Rate this question:
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- 3.
The most fundamental difference between qualitative data and quantitative data is that:
- A.
The type of judgment that is used to make meaning of the data, and how the data are manipulated.
- B.
The research questions can be addressed using each of the types of data.
- C.
The topics about which the data are being collected.
- D.
The respondents provided the data.
- E.
There really is no difference.
Correct Answer
A. The type of judgment that is used to make meaning of the data, and how the data are manipulated.Explanation
Qualitative data and quantitative data differ in terms of the type of judgment used to interpret the data and how the data are manipulated. Qualitative data involves subjective judgment and interpretation, focusing on understanding the underlying meanings, themes, and perspectives. On the other hand, quantitative data involves objective judgment and statistical analysis, focusing on numerical measurements and patterns. The way these two types of data are analyzed and manipulated also differs, with qualitative data often using methods like coding and thematic analysis, while quantitative data involves statistical tests and calculations.Rate this question:
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- 4.
Considering the way researchers handle data, it is helpful to remember that:
- A.
It is not possible to convert qualitative data into quantitative data.
- B.
If qualitative data are converted into quantitative data, validity always suffers.
- C.
Researchers often will often use quantitative data so that they avoid any subjective or qualitative judgments.
- D.
A researcher who converts qualitative data into quantitative data ensures that the validity of the research will be improved.
- E.
Although some data are collected quantitatively, there are many qualitative judgments that go into how those responses are collected.
Correct Answer
E. Although some data are collected quantitatively, there are many qualitative judgments that go into how those responses are collected.Explanation
The answer is explaining that even though some data are collected quantitatively, there are still qualitative judgments involved in how those responses are collected. This means that even when researchers use quantitative data, there are subjective decisions and qualitative aspects involved in the process. Therefore, the statement is highlighting the fact that qualitative judgments are present in the collection of quantitative data.Rate this question:
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- 5.
The "Levels of Measurement" are typically placed in a sequence in which higher levels contain the attributes of the lower levels but add some attributes. At the lowest level, it is not even meaningful to average the numbers, while at the highest level, it is possible to use inferential statistics. The sequence of "levels of measurement" from lowest to highest is:
- A.
(lowest) nominal-->ordinal-->interval-->ratio (highest)
- B.
(lowest) interval-->nominal-->ordinal-->ratio (highest)
- C.
(lowest) ratio-->interval-->ordinal-->nominal (highest)
- D.
(lowest) interval-->ordinal-->nominal-->ratio (highest)
- E.
(lowest) nominal-->ratio-->interval-->nominal (highest)
Correct Answer
A. (lowest) nominal-->ordinal-->interval-->ratio (highest)Explanation
The correct answer is the first option, "nominal-->ordinal-->interval-->ratio." This sequence represents the correct order of levels of measurement from lowest to highest. Nominal level measurement involves categorizing data into distinct groups or categories. Ordinal level measurement involves arranging data into a specific order or ranking. Interval level measurement involves measuring data on a scale with equal intervals between values. Ratio level measurement is the highest level and includes all the attributes of the previous levels, but also has a true zero point and allows for the use of mathematical operations like multiplication and division.Rate this question:
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- 6.
In research, data are generally being collected that are meant to describe, measure, or otherwise characterize a construct. A construct is most correctly described as:
- A.
The process by which the data will be analyzed.
- B.
How correct the data are relative to what they are supposed to describe.
- C.
Whether the right kind of data are collected for the research question to be answered.
- D.
The theoretical idea or concept that is being described or analyzed in the process of research.
- E.
The term "construct" has no set meaning in research.
Correct Answer
D. The theoretical idea or concept that is being described or analyzed in the process of research.Explanation
A construct refers to the theoretical idea or concept that is being described or analyzed in the process of research. It represents an abstract concept that researchers aim to measure or understand through data collection and analysis. Constructs can be things like intelligence, motivation, or personality traits, and they are often defined and operationalized in research studies to guide the data collection process. By focusing on constructs, researchers can gain insights into the underlying theories or concepts they are investigating and draw meaningful conclusions from the data they collect.Rate this question:
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- 7.
In research, the term validity refers to:
- A.
How meaningful it is to generalize based on the research.
- B.
How well the researcher did what was planned.
- C.
The accuracy of the measures used.
- D.
The same as "reliability".
- E.
How well the researcher explains what she/he means by the key terms used in the research.
Correct Answer
A. How meaningful it is to generalize based on the research.Explanation
Validity in research refers to the extent to which the findings and conclusions of a study are accurate, meaningful, and applicable to the larger population or phenomenon being studied. It assesses whether the research adequately measures what it intends to measure and whether the results can be generalized to other contexts or populations. Therefore, the answer "How meaningful it is to generalize based on the research" accurately captures the concept of validity in research.Rate this question:
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- 8.
When numbers are used in a study as labels--in place of names--the numbers are said to be at a level of a measurement called ______ data.
Correct Answer
nominalExplanation
In this question, the correct answer is "nominal." Nominal data refers to a type of measurement where numbers are used as labels or categories, rather than representing quantities or values. In a study, when numbers are used as identifiers or placeholders for names, it is considered nominal data. This type of data is used to categorize or classify information, but does not have any inherent order or numerical meaning.Rate this question:
- 9.
When the numbers that are collected as data in research have a true "0" point, such the numbers can be correctly manipulated mathematically; the data are said to be at a level of a measurement called _____ data.
Correct Answer
ratioExplanation
Ratio data is a level of measurement where the numbers collected as data have a true "0" point. This means that the values can be manipulated mathematically, such as adding, subtracting, multiplying, or dividing. In ratio data, the ratios between the values are meaningful and can be compared. For example, if we have data on the height of individuals in centimeters, a person with a height of 180 cm is twice as tall as a person with a height of 90 cm. Therefore, the correct answer is ratio data.Rate this question:
- 10.
The approximate truth of propositions, inferences, or conclusions in research is referred to as ________.
Correct Answer
validityExplanation
Validity refers to the extent to which a research study accurately measures or reflects what it intends to measure. It is concerned with the accuracy and soundness of the research design, methods, and data analysis. In other words, validity determines whether the findings and conclusions of a study are reliable and trustworthy. It ensures that the research is free from biases, confounding factors, and errors, and that the results can be generalized to the larger population. Therefore, validity is crucial in establishing the credibility and usefulness of research findings.Rate this question:
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Current Version
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Aug 17, 2023Quiz Edited by
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Feb 28, 2010Quiz Created by
Ecrobeck
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