Whenever we’re asking questions such as “How many?”, “How often?”, “How much?” we’re referring to quantitative data. This data can be verified and conveniently evaluated using mathematical techniques. Let’s talk about it. Show
Currently, online surveys are the best solution for obtaining data in this way. You can reach more people in less time and ensure more honest results for later analysis. Content Index Quantitative data is the value of data in the form of counts or numbers where each data set has a unique numerical value. This data is any quantifiable information that researchers can use for mathematical calculations and statistical analysis to make real-life decisions based on these mathematical derivations. For example, there are quantities corresponding to various parameters. For instance, “How much did that laptop cost?” is a question that will collect quantitative data. Values are associated with most measuring parameters such as pounds or kilograms for weight, dollars for cost, etc. It makes measuring various parameters controllable due to the ease of mathematical derivations they come with. It is usually collected for statistical analysis using surveys, polls, or questionnaires sent across to a specific section of a population. Researches can establish the retrieved results across a population. The most common types of quantitative data are as below:
As quantitative data is in the form of numbers, mathematical and statistical analysis of these numbers can lead to establishing some conclusive results. There are two main Quantitative Data Collection Methods: Surveys: Traditionally, surveys were conducted using paper-based methods and have gradually evolved into online mediums. Closed-ended questions form a major part of these surveys as they are more effective in collecting data. The survey includes answer options they think are the most appropriate for a particular question. Surveys are integral in collecting feedback from an audience larger than the conventional size. A critical factor about surveys is that the responses collected should be such that they can be generalized to the entire population without significant discrepancies. Based on the time involved in completing surveys, they are classified into the following –
Learn more: Cross-sectional vs Longitudinal Survey To administer a survey to collect quantitative data, the below principles are to be followed.
One-on-one Interviews: This quantitative data collection method was also traditionally conducted face-to-face but has shifted to telephonic and online platforms. Interviews offer a marketer the opportunity to gather extensive data from the participants. Quantitative interviews are immensely structured and play a key role in collecting information. There are three major sections of these online interviews:
All of the above quantitative data collection methods can be achieved by using surveys, questionnaires and online polls. Learn about: Quantitative Research Data collection forms a major part of the research process. This data, however has to be analyzed to make sense of. There are multiple methods of analyzing quantitative data collected in surveys. They are:
Learn More: MaxDiff Analysis vs Conjoint AnalysisFor Quantitative Data, raw information has to presented in a meaningful manner using data analysis methods. This data should be analyzed to find evidential data that would help in the research process.
Learn More: Data analysis in researchListed below are some examples of quantitative data that can help understand exactly what this pertains:
As you can see in the above 10 examples, there is a numerical value assigned to each parameter and this is known as, quantitative data. Some of the advantages of quantitative data are:
Learn more: Margin of Error Some of disadvantages of quantitative data, are:
There are some stark differences between quantitative data and qualitative data. They are: Quantitative DataQualitative DataAssociated with numbersAssociated with detailsImplemented when data is numericalImplemented when data can be segregated into well-defined groupsCollected data can be statistically analyzedCollected data can just be observed and not evaluatedExamples: Height, Weight, Time, Price, Temperature, etc.Examples: Scents, Appearance, Beauty, Colors, Flavors, etc.Using quantitative data in an investigation is one of the best strategies to guarantee reliable results that allow better decisions. In summary, quantitative data is the basis of statistical analysis. Data that can be measured and verified gives us information about quantities; that is, information that can be measured and written with numbers. Quantitative data defines a number, while qualitative data is descriptive. QuestionPro is a software created to collect quantitative data using a powerful platform with preloaded questionnaires. In addition, you will be able to analyze your data with advanced analysis tools such as cross tables, Likert scales, infographics, and much more. What is a way of mathematically averaging the results of all studies that have been completed with the same variables?A meta-analysis is a statistical analysis that combines the results of multiple scientific studies. Meta-analyses can be performed when there are multiple scientific studies addressing the same question, with each individual study reporting measurements that are expected to have some degree of error.
What is the term for a replication study in which a researcher evaluates the same research question but uses different procedures?The second type of replication is called “conceptual replication.” This occurs when—instead of an exact replication, which reproduces the methods of the earlier study as closely as possible—a scientist tries to confirm the previous findings using a different set of specific methods that test the same idea.
When generalizing the results of a sample to the population which of the following is the most important question to ask?When generalizing the results of a sample to a population, which of the following is the most important question to ask? How were the participants sampled? Two or more independent variables each having two or more levels.
Which type of claim is always done in generalization mode?Frequency claims are almost always in generalization mode. Association and causal claims are only sometimes in generalization mode. Causal and association claims use theory-testing mode more than generalization mode because internal validity is more important than external validity within these claims.
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