Are you performing some descriptive statistics or inferential statistics in your research work? If you are one of the novice researchers in the social sciences, you are not only performing statistics but you are analyzing data by using the statistical tests to create data interpretations and draw valid conclusions from your research work.

There is a wide spectrum of statistical tests significant to conducting data analysis. But, a good quantitative data analysis requires knowing enough to know when it is time to ask for help and what specific questions to ask. In this article, we have some informative guide and downloadable quantitative data analysis report templates to guide you in your research work. Keep on reading!

## What is Quantitative Data Analysis?

Quantitative data analysis is a significant report that is aimed at providing systematic statistical analysis of the research concerning the value of data in the form of counts or numbers. The data typically comes from using questionnaires, polls, and surveys which are distributed across to a particular part of a demographic.

## How to Conduct a Quantitative Data Analysis

Michael J. Albers wrote in his book “Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences” that a great study design in research is meaningless unless the data is properly analyzed.  So, you need to study the test results consciously, apply them to the situational context, and then draw conclusions that are logical. Below are some easy-to-follow tips  that indicate how to conduct a data analysis in quantitative research

### 1. Validate the data

As you conduct your quantitative data analysis, you need to search and check if the collected data was performed according to the standards and without any prejudice. To accomplish this, you need to infer whether each respondent was actually interviewed or not. Check if the respondents were selected based on the research criteria. Then, analyze if the procedure was duly followed. Also, make sure that the interviewer properly asked the respondent all the necessary questions.

### 2. Edit the validated data

Conduct basic data checks, check for outliers, and edit the raw research data so that you are able to determine and clear out any data points that may inhibit the precision and accuracy of the results in your quantitative data analysis.

### 3. Coding the data

One of the essential steps in conducting quantitative data analysis is coding the data by grouping and assigning the right values to responses according to the survey. For instance, you will make age buckets and categorize the age of each of the respondents based on the codes.

### 4. Develop an analysis report

The last important step of conducting a quantitative data analysis is developing a comprehensive analysis report. So, go back to the fundamental points of your data research and analyze the results. Then, finalize your analysis through creating an clear analysis report.

## What is quantitative analysis in research?

Quantitative analysis in research is a specific method which utilizes mathematical and statistical modeling, measurement, and research when it comes to understanding a particular behavior.

## How to write an effective analysis report?

Accept comments and criticism from others, especially from the experts in your field. Start with the most comprehensive details and dig deeper on the important content. Remember to understand the perspective of your audience. And you need to construct a flexible outline.

## Why is quantitative analysis important?

Quantitative analysis is important because it allows a person to obtain essential facts from research data such as preference trends, group differences, and demographics.

## What is the difference between qualitative and quantitative data analysis?

The qualitative data analysis focuses on subjective characteristics and opinions or simply, aspects that cannot be expressed as a numerical figure. On the other hand, quantitative data analysis is all about examining the numerical data from the research work.

According to the book “Analyzing Quantitative Data”, there are different methods of quantitative data analysis which include bivariate descriptive analysis, univariate descriptive analysis, explanatory analysis, and inferential analysis. These basic methods of quantitative data analysis are applied in diverse phenomena, depending on the research study that you are working.

Alvin Toffler said: “You can use all the quantitative data you can get, but you still have to distrust it and use your own intelligence and judgment.” Thus, here are some of our downloadable and printable quantitative data analysis samples available in different kinds of formats. Simply click the quantitative data analysis templates in this article and start downloading now!