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:. For Quantitative Data, raw information has to presented in a meaningful manner using data analysis methods.
Quantitative data should be analyzed in order to find evidential data that would help in the research process. Listed 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. Learn more: Margin of Error. There are some stark differences between quantitative data and qualitative data.
Though you're welcome to continue on your mobile screen, we'd suggest a desktop or notebook experience for optimal results. Survey software Leading survey software to help you turn data into decisions. Research Edition Intelligent market research surveys that uncover actionable insights. Customer Experience Experiences change the world. Deliver the best with our CX management software. It is used by scientists to test specific predictions, called hypotheses , by calculating how likely it is that a pattern or relationship between variables could have arisen by chance.
Have a language expert improve your writing. Check your paper for plagiarism in 10 minutes. Do the check. Generate your APA citations for free! APA Citation Generator. Home Knowledge Base Methodology An introduction to quantitative research. An introduction to quantitative research Published on June 12, by Pritha Bhandari.
Quantitative research question examples What is the demographic makeup of Singapore in ? How has the average temperature changed globally over the last century? Does environmental pollution affect the prevalence of honey bees? Does working from home increase productivity for people with long commutes? What can proofreading do for your paper? What is mixed methods research? What is data collection? What is operationalization? Reliability and validity are both about how well a method measures something: Reliability refers to the consistency of a measure whether the results can be reproduced under the same conditions.
Validity refers to the accuracy of a measure whether the results really do represent what they are supposed to measure. What is hypothesis testing? Is this article helpful? Pritha Bhandari Pritha has an academic background in English, psychology and cognitive neuroscience. As an interdisciplinary researcher, she enjoys writing articles explaining tricky research concepts for students and academics. Other students also liked. A guide to operationalization Operationalization means turning abstract concepts into measurable observations.
It involves clearly defining your variables and indicators. An introduction to descriptive statistics Descriptive statistics summarize the characteristics of a data set. There are three types: distribution, central tendency, and variability. An introduction to inferential statistics While descriptive statistics summarize data, inferential statistics help you come to conclusions and make predictions based on your data. What is your plagiarism score? Quantitative analysis can be applied to achieve different outcomes, including evaluating performance, measuring success or making a value assessment of financial instruments.
It can even be used to predict large-scale economic events, like fluctuations in the gross domestic product GDP. Providing a reliable tool set for closely examining behavior and events. The tools and resources available with quantitative analytics can assist with a range of data from simple values to more complex enumerations. Anything that can be quantified can be analyzed using quantitative analysis.
For this reason, quantitative analytics are almost universally beneficial. How is quantitative analysis different from qualitative analysis?
Conceptual differences. Quantitative data analysis is concerned with facts. Quantitative data analysis assumes reality is measurable. Qualitative data analysis seeks to understand the reason for a behavior. Qualitative data analysis assumes reality is always changing and includes several variables that are hard to measure numerically. Functional differences. Quantitative research collects data through measurements. Quantitative analysis predicts outcomes using values and statistics.
Quantitative analysis reports data in statistical values. Qualitative research collects data by observation and interview techniques. Qualitative analysis predicts outcomes using information collected in interviews and surveys. Qualitative analysis reports data by conveying information using language and description.
Example: Analyzing the financial health of a company. Applications of quantitative analysis in business. The anticipated return on investment Demographics within the target market How much the campaign will cost to implement Campaign length Measurement, tracking and analytics results. What Are Accounting Methods? With Examples.
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