Quantitative Data: Definition

Quantitative Data: Definition

1. Is defined as the value of data in the form of counts or numbers where each data-set has an unique numerical value associated with it.

   •    For example, there are quantities corresponding to various parameters, for instance, “How much did that laptop cost?” is a question which will collect quantitative data. There are values associated with most measuring parameters such as pounds or kilograms for weight, dollars for cost etc.   
   • Types of Quantitative Data with Examples
     •    ·         Counter: Count equated with entities. For example, the number of people who download a particular application from the App Store. ·         Measurement of physical objects: Calculating measurement of any physical thing. For example, the HR executive carefully measures the size of each cubicle assigned to the newly joined employees. ·         Sensory calculation: Mechanism to naturally “sense” the measured parameters to create a constant source of information. For example, a digital camera converts electromagnetic information to a string of numerical data. ·         Projection of data: Future projection of data can be done using algorithms and other mathematical analysis tools. For example, a marketer will predict an increase in the sales after launching a new product with thorough analysis. ·         Quantification of qualitative entities: Identify numbers to qualitative information. For example, asking respondents of an online survey to share the likelihood of recommendation on a scale of 0-10.     

2. Quantitative Data: Collection Methods

   • 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. 
       • On the basis of the time involved in completing surveys, they are classified into the following
         • Longitudinal Studies. Cross-sectional Studies

3. Principles to get data

   • Fundamental Levels of Measurement – Nominal, Ordinal, Interval and Ratio Scales. Use of Different Question Types. Survey Distribution and Survey Data Collection.
   • There are different ways of survey distribution
     • Email. Buy respondents. Embed survey in a website QuestionPro app

4. types of interview

   • Face-to-Face Interviews. Online/Telephonic Interviews. Computer Assisted Personal Interview.

5. Quantitative Data: Analysis Methods

   • 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.
   • Types
     • Cross-tabulation. Trend analysis. MaxDiff analysis. Conjoint analysis. TURF analysis. SWOT analysis. Text analysis.

6. Steps to conduct Quantitative Data Analysis

   •    Has to presented in meaningful manner using analysis methods. Quantitative data should be analyzed in order to find evidential data that would help in the research:  1-Relate measurement scales with variables. 2-  Connect descriptive  statistics with data. Decide a measurement scale. 3-Select appropriate tables to represent data and analyze collected data.

7. Quantitative Data Examples

   • 1-  I updated my phone 6 times in a quarter.  2- My teenager grew by 3 inches last year. 3-83 people downloaded the latest mobile application.       My aunt lost 18 pounds last year.  

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