Analysis and Findings
Your statistical issues have our in house doctorate consultants that have completed world-class Ph.D. programs, specializing in dissertation analysis and findings. Dissertation Edits will tackle your data analysis to provide the research findings, and a free consultation is available on +1 (470) 391-2590, today.
How to interpret data analysis and findings
The proper dissertation process involves the methodology for your preferred topic and how to analyze and result in findings for your primary research study. Key to the process of completing the data analysis is software, and the available qualitative data tools include ATLAS, MAXODA, NVivo, and Dedoose. Quantitative data analysis relies on statistical software programming languages like SAS, C, SPSS, Python, and Stata.
The processes of data analysis and findings can prove problematic for doctoral students who don’t have valid programming language know-how, or the skills necessary to conceptualize their theoretical results.
Results of data derived from focus groups and interview transcripts are dug into after being coded to determine research findings. Major themes of the grounded theory analysis of qualitative data also include interpreting the many forms of research data with approaches such as;
- Thematic analysis
- Selective coding
- Phenomenological analysis (IPA)
- Axial or open coding
- Other phenomenological protocols
Consultants with expertise in statistical, qualitative analysis programming
Quantitative data analysis relies on statistical software, which produces valid inferences statistically from inferential analyzers that perform exploratory or descriptive analysis. Prior to conducting the inferential analysis, the in-depth research question and specific data are explored using plots and tables, tools that deliver the inferential analysis.
This process confirms the magnitude of the association between the significant statistical variables within your main research study. Academically valid research evidence is presented along with the analytical findings for qualitative studies and may entail discussions on facets of data trustworthiness. Qualitative analysis facets include data transferability, conformability, credibility, and dependability.
For the counterpart quantitative analytical studies, all the assumptions of the statistical model are checked for correlation or regression. Once satisfied, a discussion on the resultant methodology biases is prepared. The concluding discussion focuses on the correct interpretation of your analysis results and provides directions for future research.
Included in the conclusion of your analysis and findings part of your doctoral dissertation are the limitations that face the topic study, implications for theory or social change, and additional future study recommendations.
Quantitative and qualitative analysis experts are available every day.
Dissertation Edits will assist with every stage of your analysis and finding’s part, by statistical analysts and qualitative consultants that are available daily. Text or call us at +1 (470) 391-2590, for a free consultation and guidance on this and other phases of your PhD.