Quantitative Research: Tips and Tricks
Are you thinking about doing a quantitative research in social psychology as the research assignment given to you by your instructor? Are you lost about what you are supposed to do and how? Let us explain to you what your survey means and where it comes from.
Quantitative research methods is basic gathering of data on a large scale using mathematical and statistical instruments and techniques. This data is then explored using computational techniques to carve out results from the data that is being analysed. The main idea is to drive percentiles and quantifiable data from the survey that you are conducting and get the answers to the questions that you have asked in your thesis statement.
Aim: The main aim of quantitative research is simple; to pick one independent variable (social aspect) and find a reliant variable that connects with the independent variable, we call it the dependent variable, and see the correlation between these two variables.
Simple tips on writing your quantitative research are as follows:
- Experience: Make a subheading in your analysis that discusses the analysis that you actually ended up conducting versus what you were expecting to actually conduct. The variables that changed the trajectory of your research are a significant part of your discussion.
- Data Collection: Data collection is a very complicated task and will make you deviate from your original plan easily. So you need to keep an eye on where your implementation of the data collection deviated from the actual planned data collection and elaborate on how the implementation has deviated. This data will explain much about the various factors that affect the data collection in the field of study that you are working on. It will also make for a simple way to carve out deep analysis of the prevailing situation in your field of study.
- Data Cleaning: Data cleaning is simply a technique that is used in making sure that the data you put in your paper is quantified and verified with basic cleaning techniques like discarding all the surveys that are not following the assigned protocol.
- Minimalism: Make sure that your statistical procedure is not too elaborative. This way, your content will have a simplicity of expression and simplicity of procedure. It’s not too complicated to understand and should be done because data is already complicated and hard to express. Making it more complex with complicated data collection methods is not advisable.
- Inferential Statistics: You need to include descriptive statistics, confidence intervals and sample sizes. These data parts are important to validating your data and making sure that it is well spread out.
- Value Expression: Values should be expressed through tables and charts since it is a great way to express a huge amount of data without taking too much space. These data are elaborated through charts well.
These are Dissertation Firm basic steps to understand some simple tricks and tips to conduct qualitative research and making sure that your academic paper lives up to your instructor’s expectations.