Quantitative Research Examples

Quantitative Research deals with measurable solutions and numbers, which is done in a systematic way to understand the given phenomena and its relationship between those numbers. Quantitative research is performed to explain the situation or phenomena and thereby provide a prediction or estimation around this and can, therefore, be controlled.

Quantitative Methodology is used in almost all the fields of humanity today, and the reason being facts and numbers being used. The dependency, variables, and estimation become easier and valid, weighing this research and methodology more than anything else. Gradually, we are also developing mixed-methods research tools that mix the use of qualitative and quantitative requirements, methods, and paradigms.

• Quantitative research examples encompass studies that aim to quantify and measure variables, relationships, or phenomena using numerical data and statistical analysis.
• Surveys and questionnaires serve as common examples of quantitative research. They involve collecting data from many respondents and analyzing the results to identify trends, patterns, and correlations.
• Experimental research is another illustrative example of quantitative research. It involves manipulating variables and measuring their effects on outcomes to establish cause-and-effect relationships.
• Data analysis methods commonly employed in quantitative research examples include statistical techniques such as regression analysis, ANOVA (analysis of variance), correlation analysis, and descriptive statistics.

Quantitative research examples emply a systematic approach to collect, interpret and analyse any set of numerical data. It uses various kinds of mathematical and statistical techniques in order to establish a relationship between an event and the data used.

In the process of data analysis in quantitative research example, data is collected using standard procedures which should be reliable, consistent and measurable. The different metods used to collect the data may questionaires, surveys, observations, or experiments, which can be used to draw relevant conclusions.

Large data sets are used to draw sample sizes from them. Those samples from the entire population are carefully studied to draw conclusions. The conclusions drawn from the samples represent the entire population as descriptive quantitative research example. There are various methods like mean, standard deviation, regression analysis, t-test, etc that are used to analyze and find a result.

An effort is made to reduce or control any type of bias or unnecessary influence on the methods of collecting data and evaluating them so that the results can be generalized and assumed ti represent the population data.

Let us try to understand the concept of data analysis in quantitative research example using some examples as given below.

Example #1

There is a new marketing campaign for the launch of your product, which is a smartphone with some added camera benefits. The audience was to rate the additional features on a scale of 1 to 5, 5 being the highest.

Below is the result of the poll that was taken for a sample size of 50 people from different areas and age groups:

Since there is a different count of respondents for each of the ratings, hence we need to calculate the result by using the Weighted Average Mean method. Weighted Average Mean can be calculated using the sumproduct() function in excel.

On calculating, we see that the mean is higher than 3, which means that the observation has resulted in a positive response. The additional features in the camera of the smartphone have created a positive impact, and this descriptive quantitative research example on the pilot sample creates a go-ahead situation for the company.

Example #2

The portfolio a client has invested in has to be managed by an authorized portfolio manager. This portfolio contains 60% common stocks, 30% in bonds, and 10% in cash. The return on common stocks is 14%, the return on bonds is 8%, and the return on cash is 3.5%.

The portfolio return can be calculated using the concept of the important investment where the overall return is the weighted average of the returns of the individual assets in the portfolio.

Therefore, to find the hypothesis in quantitative research example, the weighted average on each asset class can be calculated as,

=60% * 14%

=8.400%

Similarly, we can calculate the weighted average of other assets class as shown above

As seen below, the return on the overall Portfolio can be easily calculated if we know the returns on each of the asset classes. In this scenario, the portfolio is generating a return of 11 % per annum for the investor.

=8.400% + 2.400% + 0.3500%

Return on Overall Portfolio =11%

The step-by-step details of how we can arrive at the portfolio return when each of the asset classes has a different weightage in the portfolio can be calculated using the concept of Weighted Average.

Example 3

Risk assessment is a combination of risk analysis and risk evaluation.

Risk analysis is the different methods and ways of identifying and analyzing potential future events impacting current situations, while risk evaluation is making estimations and judgments based on the risk analysis done. This hypothesis in quantitative research example is one of the most important processes the management needs to do to handle a team and its employees.

• The risk assessment score is the average of the Likelihood, Impact, and Current Values.
• The above 3 components are rated on a scale of 1 to 3, 3 being the highest. However, the overall assessment is done on a scale of 0 to 5. The scale of 1 to 3 is converted to 0-5 by the risk analytics.

Let us check for the current scenario of a business idea where:

• Likelihood = Medium
• Impact =  Medium
• Current Impact = High

In order to calculate the Risk Assessment on a scale of 0 to 5, we can solve the same using the Excel spreadsheet features:

The calculation of risk assessment will be -

=((2+2+3)/3)*2 - 1

Risk Assessment =3.67

By doing an average, we are assessing the risk from 1 to 3 and by multiplying it by 2, we are stretching the same over a larger scale, which is 0 to 5 here. Therefore, the above calculation results in a rating of 3.67 for the risk assessment. This implies the business idea in question depicts medium risk involvement, which means a positive status for the business unit.

Example #4

The stock price for one stock of Microsoft corporation approximately 10 years back as on 13^th February 2009 was $14.898. The current stock price for the same, as on 11^th February 2019, is $105.25.

The average annual return for a given stock or fund can be calculated using the concept of Geometric Mean:

The Average Annual Return can be calculated as follows,

=((14.90/105.25)^(1/10)-1)*100%

Average Annual Return = 21.59%

As seen, the stock has given a more than satisfactory returns as compared to its peers when compared over the same 10 years. This kind of analysis is further used for peer comparison, built estimates as well as creating any detailed valuation model or numbers around this as a quantitative research example in education or in the professional world.

In case of quantitative research example in education or in any other instance, we define the boundaries and parameters used in the research and analysis. This, provides a better clarity on the process by identifying what is included and what is excluded.

Scope:

• Population – It is the most important parameter that is required for any kind of study, from which the samples are drawn and analysed for results.
• Variables – They refer to the elements between which a relationship is established. They may be dependent or independent.
• Timeframe – This is very important because if the time is not assumed, then the study becomes irrelevant. During this time period, the researchers conduct the study and do the analysis to draw conclusion.

Delimitation:

• Age or timeframe – It is necessary to specify the age of population or timeframe for which they are taken. Any data beyond that is not necessary.
• Geography – The area or geographical boundary is specified in every study.
• External factors – Only those external factors that are relevant for the study are taken. Sometimes there may be many other factors influencing a study but all of them may not be included. It depends on the purpose and aim of the research.

Thus, by clearly identifying the above, researchers ensure that the aim of the study is achievable and is within the specified and required boundaries.

This has been a guide to what is Quantitative Research Examples. We explain the concept with some examples along with the scope and delimitations. You can learn more about accounting from the following articles –

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• Quantitative Analyst