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Quantitative method used to address the data given in the past or give in the present, at the request of the concerned to get them to address them, and secondly answer specific questions directed to them, either by workers themselves or help researchers, through Astbarhm personally in interviews scheduled at times with them before, In this case Almstbroon depends on the questionnaire sheets, each containing several questions directed to each researcher Quested of individuals selected for the search. But that does not mean that the newspaper intelligence does not differ in many or a few newspaper about the questionnaire. In fact, there is a big difference. But the similarity in that they both answer questions after containing the required data.
Quantitative forecasting methods are used when historical data on variables of interest are available—these methods are based on an analysis of historical data concerning the time series of the specific variable of interest and possibly other related time series. There are two major categories of quantitative forecasting methods. The first type uses the past trend of a particular variable to base the future forecast of the variable. As this category of forecasting methods simply uses time series on past data of the variable that is being forecasted, these techniques are called time series methods.
The second category of quantitative forecasting techniques also uses historical data. But in forecasting future values of a variable, the forecaster examines the cause-and-effect relationships of the variable with other relevant variables such as the level of consumer confidence, changes in consumers' disposable incomes, the interest rate at which consumers can finance their spending through borrowing, and the state of the economy represented by such variables as the unemployment rate. Thus, this category of forecasting techniques uses past time series on many relevant variables to produce the forecast for the variable of interest. Forecasting techniques falling under this category are called causal methods, as the basis of such forecasting is the cause-and-effect relationship between the variable forecasted and other time series selected to help in generating the forecasts.
When you need to forecast customer attitudes, behavior and performance, quantitative research is an excellent tool. Real-world examples have shown the effectiveness of quantitative research in measuring product awareness, establishing customer profiles and determining market size.
Strengths:
Quantitative methods are best when you want to compare data in a systematic way, make generalizations to the whole population or test theories with hypothesis. This is particularly so when you want to compare or generalize information extensively within and from a specific population or between different populations (some of them configured within particular geographical or socio-spatial units - like countries, regions, etc).
Market segmentation
Usage and preference studies
Agree with the answer provided by Mr. Vinod Jetley and Mr. Georgei assi and all good answers.
Well answer add by all people. No comment
Thanks for the invitation
Good question
Agreed with both answers given by
Mr. : Jetley & Mr. Georgei Assi as well too .
Use quantitative research methods in market research when:
You want to know “how many” and/or “how often”
You want to profile a target audience by determining what proportion of the audience has certain behaviors, behavioral intentions, attitudes, and knowledge related to the health concern, and whether specific determinants predict behaviors at a statistically significant level.
I agree with all EXPERTS. thanks.
It is already well explained by georgei assi ,padmakumar pathiyil ,Ibrahim Hussein Mayaleh ,Vinod Jetley ,Divyesh Patel
No need to more explain.
