Qualitative Methodology
In this webinar, we go over the most common qualitative research designs. We’ll be going over the main components of Chapter 3, including methodology and rationale, the role of the researcher, the selection of participants, instrumentation, procedure, data analysis plan, and issues of trustworthiness. (We will not address NVIVO training, APA style, grammar, headings, etc.)
Download the presentation slides: Qualitative Chapter 3 | Dissertation Help Session
Intellectus Statistics is our proprietary statistics package that generates an accurate and reliable, APA 7th-edition, quantitative results document, in natural language.
This directory provides researchers with a near-exhaustive array of inferential and non-inferential statistical analyses.
This template is a 24-page outline that lays out the critical components of a dissertation with detailed descriptions of these sections to help students understand how to draft each chapter.
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The qualitative results chapter, often Chapter 4, stands as a pivotal yet frequently formidable component of the dissertation. Many students find themselves at a challenging juncture, tasked with transforming extensive raw qualitative data—derived from interviews, focus groups, observations, or documents—into a coherent, insightful, and robustly supported narrative. This stage demands not only analytical skill but also the ability to articulate… Continue Reading
Qualitative ResultsResults
Embarking on a dissertation is a significant academic undertaking, and at its heart lies the pursuit of credible, robust research. Two foundational elements that ensure the integrity and validity of quantitative research are power analysis and sample size determination. A power analysis is a statistical method that establishes whether a planned sample size is large enough to detect an effect… Continue Reading
Quantitative MethodologyQuantitative ResultsResultsSample SizeStatistical Analysis
Navigating the statistical analysis portion of a dissertation can often feel like a monumental task, and when Analysis of Variance (ANOVA) is the required method, many doctoral candidates find themselves facing a steep learning curve. ANOVA is a cornerstone statistical method, indispensable for comparing the means of two or more groups. Its application spans diverse fields, from education and psychology… Continue Reading
Quantitative ResultsResults
Linear Multiple Regression (LMR) is a cornerstone statistical technique for dissertation research, allowing for the exploration of how several independent (predictor) variables collectively influence a single continuous dependent (criterion) variable.1 Its power lies in its ability to model complex relationships and make predictions based on multiple factors simultaneously.3 While invaluable, LMR often presents a significant hurdle for dissertation students, who… Continue Reading
Quantitative ResultsResults
Crafting Your Quantitative Results Chapter: Expert Help with Data Presentation Writing the quantitative results chapter (Chapter 4) is a critical step in your dissertation journey. It demands clarity, precision, strict adherence to academic standards like APA 7th edition, and the objective presentation of your statistical findings. Feeling unsure how to report complex statistics, create perfect APA tables, or structure the… Continue Reading
Quantitative ResultsResultsStatistical Analysis
If you’re like others, you’ve invested a lot of time and money developing your dissertation or project research. Finish strong by learning how our dissertation specialists support your efforts to cross the finish line.