Quantitative Research Topics

Quantitative research is beneficial as it helps us understand and explore the diverse world around us with the help of numeric data. Quantitative research is used in many disciplines, which include business, social science, education, healthcare and many others. Quantitative data is also considered vital as it helps identify patterns, trends and variables, which helps formulate evidence-based conclusions on different topics. 

What is quantitative research?

The quantitative research method is research in which the research collects various numerical data and analyses them to verify a hypothesis or any research objective.  Quantitative data is highly focused on statistical analysis, measurements and evaluation of large amounts of data.

However, quantitative data has its limitations.  Quantitative data cannot collect complex human feelings and experiences and its ability to simplify complex phenomena.  Moreover, quantitative research is only helpful when analyzing numerical data and measurements is essential. However, it fails when it comes to exploring human experiences in detail. 

Reasons for selecting Quantitative data?

Different reasons exist for selecting quantitative data for high school and college students. Some of the significant features of quantitative data are

• Objectivity: Quantitative research is heavily based on numeric data, which can help evaluate and analyze different research objectives. This helps create reliable and accurate research free from any kind of bias. 
• Generalizability: Quantitative data uses a large amount of data and sample size when collecting information, which helps generalize the information to a large population. Using quantitative data makes it helpful for the researcher to implement the research findings on a significant situation of a group of people.  
• Replicability: The quantitative data uses standardized methods and measurements, making it easy for others to replicate them.  This makes it easy to validate and verify the different results obtained in the research study by others. This helps in promoting scientific progress in the field of research. 
• Accurate measurement: Using quantitative research is considered very helpful as it enables the researcher to make accurate measurements of different variables, which helps better analyze different variables and data required in the research. 
• Cost-effectiveness: Quantitative research is generally done with the help of technological tools such as data analysis software and online surveys, which help make the research work quick and efficient.  This makes quantitative research very cost-effective when compared to qualitative research. Qualitative research, on the other hand, uses a time-consuming data-collecting method. 

Steps for Writing Quantitative Research

Various steps must be followed when conducting qualitative research, which helps the researcher take a comprehensive approach. Some of the critical steps involved in the creation of quantitative research are 

• Developing the research question: A precise research question and objective is essential before starting any research paper. The research selected for the study is measurable, specific and relatable to the field of study. 
• Development of hypothesis: Developing different hypotheses based on the research question becomes essential as it helps explain the relationships between different variables involved in the study.  The hypothesis created during the research is tested with the help of different kinds of variables. 
• Selecting the research design: It is beneficial as it helps create a quality research paper. The research design is generally selected based on research questions or research objectives. Some of the commonly used research designs are longitudinal, cross-sectional, and experimental research design. 
• Selecting the research sample: The sample selected for the research should be able to represent the whole population included in the study. Some commonly used sampling methods in quantitative research are random, cluster, or stratified.
• Data collection: Data collection is essential in quantitative research and should be done accurately and precisely. Observations, surveys, and experiments are broadly used data collection methods in quantitative sampling. 
• Analyzing the data: In quantitative research, statistical analysis is essential as it helps verify the research questions and hypotheses created before the research study. Different statistical tools, such as mean and standard deviation, can be implemented. In some cases, ANOVA, regression analysis and t-tests can also be used for the data analysis. 
• Interpretation of results: The results gained after the completion of the research study should be interpreted under the hypothesis and the research questions. The conclusions made in the research study should be based on statistical analysis. Moreover, it is also essential to highlight and acknowledge many types of limitations found in the research. 
• Communicating the results: The results obtained in the research study should be communicated effectively and precisely. The quantitative research should include an introduction, literature review section, methodology, results and discussion section and conclusion. Using graphs and tables is also considered very useful in quantitative research. 

Topics for quantitative research

• What are the different nonexperimental research methodologies in psychology?
• Who is more responsive to beer ads, men or women? 
• How is the use of metaphors and similes helpful for the author?
• What is the relationship between Push-ups and human health?
• What are the benefits of using imagery in a novel?
• Is putting chemicals in frog ponds helpful in increasing frogs' body weight?
• What is the significance of ethics in psychological research?
• What is the relationship between children’s nutrition and their cognitive development?
• State the different reasons responsible for psychological disorders.
• Elaborate the role of mobile phones in contributing to psychological disorders.
• Are urbanization and economic growth related?
• Discuss the importance of SEO (Search engine optimization).
• How are educational achievement and economic status interrelated?
• State the different factors responsible for animal behavior.
• The reasons behind the disruptive behavior in children.
• What is the role of parents in controlling the disruptive behavior of children?
• Are trends, perceptions, and beliefs the same?
• How do you see attention deficit syndrome? A myth or a reality
• Importance of computer technology in airport security
• What is the need for parental involvement in the academic success of students?
• The role of video Games in affecting academic performance of students
• What are the different steps for controlling cyberbullying in high schools?
• What are the different impacts of mobile phone usage on student learning and development?
• What is the relationship between mobile phones and fitness?
• Discuss the importance of self-defending networks.