Les plans annuels bénéficient d'une réduction allant jusqu'à 65 % pour une durée limitée à la vente Black Friday. ⏰
Are you looking for a way to collect objective data for your research? You can use quantitative questions to get objective data. You can use forms.app to create and customize your surveys with ready-made templates. This article will discuss creating quantitative survey questions with forms.app and the key principles of creating quantitive survey questions.
A quantitive question is an objective question about any kind of research topic. You can use these types of questions in your research surveys, and you can create a research report that is produced using the quantitative data based on the analysis of the responses to these quantitative survey questions.
It offers assistance when you need to generalize your study and make predictions about the future. Surveys are an excellent instrument for quantitative research because they are flexible, affordable, and allow data collection from many respondents. Quantitive questions allow researchers to collect numeric data, and it is a method to gather statistical results.
The definition of a quantitative question
The goal of quantitative research is to gather data that can be represented statistically. Researchers frequently use it to compare information about particular groups. Quantitative research can be directed towards a particular audience, generally identified by demographic data like age, gender, and region, even though the survey audience is relatively large.
Qualitative research focuses on individuals' unique behavior, including their routines or the reasons behind their choices. To understand more about sentiments, attitudes, and behaviors that are harder to measure but provide crucial extra context to quantitive research.
Quantitive questions and their equıvelent of survey questions can be separated on a basis. The branches of quantitative questions are methods, but when you want to include these principles in your surveys, you use form builder features such as the Likert scale, open-ended questions, opinion scale, multiple choice, short text, and long text. In the end, what gives meaning to these types of questions is their way of gathering answers. Here are the types of quantitive questions and their branches:
Creating a better quantitative survey can be a complicated task because of the survey's nature. The intention of the questions must be chosen first to get the desired result. Clear, effective and unbiased survey questions are essential for quantitive surveys. For this reason, here is the three-step you must follow to get the desired result:
You must select the type of question you want to ask. What is your intention? Are they descriptive, comparative, or relationship-based questions? By choosing your intention, you can ask the right questions and select the right words, which is the key element of your survey.
The dependent and independent variables, as well as the target audiences, should be decided by researchers. The many variables you seek to analyze, manipulate, or control must be identified regardless of whether you are trying to develop a descriptive, comparative, or relationship-based research question. Here are some examples for
variables: Number of books read per year, level of education, average working hours, and time spent on social media.
You can control a variable in addition to something you can measure. You might need to assess a few dependent variables if you merely intend to develop descriptive research questions. However, you will deal with dependent and independent variables in situations where you intend to create comparative and relationship-based research questions. In an experiment, an independent variable is a variable that is changed to observe the effect.
The aims of the questions, the types of variables, the number of variables and the groups engaged all have an influence on the structure of the three different types of quantitative research questions.
a. Select your lead phrase.
b. Specify the dependent variable.
c. List the organizations in which you are interested.
d. Choose whether to include the dependent variable or groups.
To make the steps and types clear as forms.app, we have gathered 16 quantitive question examples in surveys. Below you will see comparative, descriptive, and relationship-based research questions with specified variables and groups.
1 - What is the average life expectancy of individuals living in urban areas compared to the average life expectancy of individuals living in rural areas?
2 - What is the average number of sick days taken by employees who work more than 40 hours per week compared to employees who work less than 40 hours per week?
3 - What is the average height of adults in [Asians]?
4 - What is the average number of books read per year by people aged 18-24 compared to people aged 25-34?
5 - What is the average number of cars per household in a [specific country]?
6 - What is the average temperature [in a specific city] during the month of July?
7 - Is there a relationship between exercise frequency and weight loss?
8 - Is there a relationship between air pollution and lung cancer?
9 - Is there a relationship between the level of education and average credit score?
10 - What is the average number of customers served per hour at fast food restaurants in the city center compared to fast food restaurants in the suburbs?
11 - What is the average age of business owners in a specific region?
12 - What is the average commute time for residents who use public transportation compared to residents who drive alone?
13 - Is there a relationship between social media usage and academic performance among college students?
14 - What is the average time spent on social media per day among teenagers compared to adults?
15 - What is the average revenue per year for small business owners compared to large business owners?
16 - Is there a relationship between gender and the likelihood of receiving a promotion in a specific company?
Since the elements are clear now, you must clarify your topic and style, then create your survey considering your aim. For example, let's say we are creating a survey intended to learn about gender and its relationship with receiving a promotion. Our variable is gender and the likelihood of receiving a promotion, and our group is a particular company. Here are some example questions with suitable form fields you can use:
It can be hard to create quantitive research questions if you are unfamiliar with the method. For this reason, forms.app gathered the detailed key method of creating quantitive survey questions. You can use ready-made templates to start or just from scratch since you now know how to create your quantitive survey questions. If you want to get started quickly, take a look at these: