Descriptive research (Quantitative research)

 Statistical analysis in research studies

Introduction:

Research studies is important in medical and health science field to explore the health-related problem and by evidence-based practice the performance and patient care will be changed with more effective outcomes. Statistical analysis is part of research studies which the research results been interpreted after data collection and give meaning to the analyzed data and investigate the research problem and discuss the finding with relation to other research studies. Statistics is analyzed data method involved data collection, handling with sorting or data coding, analyzing by using specific software, and interpret the result appeared. (Billard, 2011) The purpose of statistical analysis is to understand and gain more knowledge about problem experienced in the practice, explore new skills, identify better evidence-based practice, and identify new phenomenon. (Billard, 2011).

 

Before starting the statistical analysis, some points must be understood:

 

1-     Research types

2-     Statistical analysis software’s for research studies

 

https://youtu.be/j_n2kIjdyfw

Research types:

The research studies types were varies according to the problem statement, experience faced during clinical, or the phenomenon which been recognized.

Descriptive research (Quantitative research):

 

Descriptive statistics or Quantitative research defined as research used to describe population, situation, and phenomenon which been studied by answering a research question of how, what, when, where, and why with solving and understanding research problem before investigation. (Johnson & Onwuegbuzie, 2004).

Analytical research (Qualitative research):

 

Analytical research is specific type of research which need critical thinking, brain storming, and evaluation of the information’s. This type of research gives the researcher more in-depth information about the phenomenon and focus on understanding the cause and effect relationship between variables (Johnson & Onwuegbuzie, 2004).

Statistical analysis software’s:

 

There were many soft wares can be used to conduct statistical analysis for both types of research’s as for quantitative data analysis the programs can be:

 

1-     SPSS

2-     Jamovi

3-     R studio

4-     MATLAB

5-     Stata

 

And there were many soft ware’s which can help in doing statistical analysis for quantitative data which the programs be free or need to purchase with efficacy and effective answers with correlated to the research problem and questions or objectives.

 

For qualitative data analysis the programs which can be used to form codes, themes with subthemes related to the information collected by specific type of observation, interview, case study, and focus group can be:

 

1-     NVIVO

2-     Atlas

3-     Quirkos  

4-     QDA Miner Lite

5-     MAXQDA

 

There were many types of programs which can be used for quantitative, qualitative, and mixed method studies which can help the researchers to get good statistical results with details and best understanding of the research study

 

References:

            Billard, L. (2011). Brief overview of symbolic data and analytic issues. Statistical Analysis and Data Mining, 4(2), 149–156. https://doi.org/10.1002/sam.10115

            Johnson, R. B., & Onwuegbuzie, A. J. (2004). Mixed methods research: A research paradigm whose time has come. Educational Researcher, 33(7), 14–26.