In-Brief
- Quantitative research is a systematic investigation of phenomena that involves gathering quantifiable data and performing statistical, mathematical, or computational techniques.
- Statistical Data Analysis services calculate the exactness in the answers received from quantitative questions, which is helpful for research to evaluate the data.
- Statistical analysis services conduct quantitative research that mostly comprises of close-ended questions which are quick and less time-consuming for the respondents to answer.
Introduction
Quantitative market research is the technique that involves shooting question to the target audience in an organized manner with the help of survey, polls or conducting questionnaires section. The received response is further analyzed to decide and improve the business product and service that will help you to meet the organizational goal. Well-organized research is achieved with a large Sample size identification that represents the population surveyed.
The organization depends on the quantitative analysis of data for the statistical evaluation of data because it gives systematic and detailed information about the problem. The market research technique revolves around surveys, questionnaires and polls and the data collected is evaluated numerically, statistically, mathematically to form strategies and marketing plans to meet the organizational goal.
A critical reason to conduct quantitative research
- Conducting research is the first step to achieve marketing strategies. It is used in new product launch, and sales pitch positioning or performing statistical analysis.
- By conducting Quantitative Data Analysis Services helps to know more about the marketing activities like updating the product, social media page management etc.,
- Implementation of the quantitative market research will be useful to know the target customer, and various steps to reach the potential height in the market.
Characteristics of Quantitative Market Research
- Quantitative market research ultimately focuses on the quantity and structured Data collection. It is used to capture data like customer behaviour, size of the market, identifying reasons for product repurchase. This market research is done with the large number of sample.
- Secondary Qualitative Data Analysis experts collect the data solely in the form of a number and statistical data that derives quantified actionable insight
- The mode of data collection is structured that contains a mix of questionnaires and surveys
- The research question for the survey is designed are structured, and the outcome of question is also structured
- Quantitative Dissertation and Research Consulting provides a close-ended question that point towards only two specific options and limits the scope of uncertainty.
Methodology for creating a successful quantitative research
- Quantitative Statistical Analysis is an experimental market research method. To create actionable insight for the data collection, deductive reasoning is used to frame a conclusion. It works on the principle of developing a hypothesis, collecting data and then analyzing the data to prove further or disprove the theory. The procedure of hypothesis design is,
- Observe something unrelated to you that creates an eager to find the solution or something unknown. Investigate the theory related to the issue or the area that needs proper validation
- Create an in-depth hypothesis to validate the area that needs validation. The theory should be achievable and manageable
- Plan for how to prove and disprove the hypothesis and create a protocol on how to achieve the objective
- Professional Help with Analysis of Statistical Data collect and analyzeyour data. If your data validate the hypothesis, prepare for final validation and present the findings. If the data disproves your hypothesis, you should start with a new hypothesis
Standard techniques to conduct quantitative market research
Primary and secondary research types are used to conduct quantitative market research. Some of the most common ways to achieve quantitative market research are:
Primary quantitative market research:
It is the most common form of conducting the Statistical analysis for business and market research.
Surveys:
Traditionally surveys conducted using the paper-based method that evolved and now to the online medium. Close-ended question forms a significant part of the survey as they are useful in collecting quantitative data. The survey is one of the research method used for collecting data from a defined group of the respondent.
One-one-one Interviews:
It is traditionally conducted face-to-face but now shifted to telephonic interview and on the online platform. This type of data collection method offers an opportunity to gather extensive data from the participant. It plays a crucial role in collecting information.
Secondary quantitative market research:
Secondary research to conduct Descriptive statistical data analysis plan is for validating the hypothesis or drawing conclusions from primary empirical data.
Steps needed for creating quantitative market research survey:
- Statistical analysis of quantitative business research service expert assists you to have a goal to conduct market research. The provide a clear view of the question to get a good quality outcome
- Have a good plan to demonstrate and analyze the outcome effectively. Have a plan to use the proper tools that are needed to carry out the research, survey templates, the target audience.
- The most crucial step is to collect the data from three medium, online survey, telephone, email survey
- Analyze the collected data and compile the report using various software
Conclusion:
Professional help with Statistical data analysis utilizes this type of marketing research method to know the customer’s requirement for the specific product and drive the research based on data-oriented decision making. When a product is launched in the market or product upgraded quantitative market research may be useful to know the target audience think about the product and change according to the collected data.
References
- Hancock, G. R., Stapleton, L. M., & Mueller, R. O. (Eds.). (, 2018). The reviewer’s guide to quantitative methods in the social sciences. Routledge.
- Connolly, P. (2007). Quantitative data analysis in education: A critical introduction using SPSS. Routledge.
- Maxwell, A. E. (1961). Analyzing qualitative data (pp. 46-50). London: Methuen.
- Onwuegbuzie, A. J., Johnson, R. B., & Collins, K. M. (2009). Call for mixed analysis: A philosophical framework for combining qualitative and quantitative approaches. International journal of multiple research approaches, 3(2), 114-139.