How to Successfully Deal with Your Dissertation Data
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How to Successfully Deal with Your Dissertation Data - Susan Rovezzi Carroll, PhD
978-1-4835692-2-2
Introduction
The dissertation statistics - from the initial research design to writing up statistical results - create anxiety for many graduate students. Most of us have not had math since high school, and it was not our favorite subject. Plus, professors teach quantitative statistical formulas, and make the research designs complex. You lack the confidence to ask questions and when you do, the answers add to your confusion.
This book can help. With expertise and care, it provides dissertation advice to doctoral students so that they complete their degree in less time, with much less stress and without breaking the bank. It focuses on the two chapters that give students the most difficulty-Chapter Three, the research design and methodology and Chapter Four, the statistical analyses. There are other bits and pieces I have added to make the journey a more pleasant one for you!
Here are the chapters of the book where most doctoral students need assistance.
Chapters
CHAPTER ONE
Selecting Your Dissertation Topic and Developing Your Proposal
Important questions to ask yourself when selecting your dissertation topic, selection strategies, resources, literature review errors, and tips for writing your proposal
CHAPTER TWO
Stating Your Research Questions and Hypotheses Correctly
Information on types of research questions, null hypotheses, tests of statistical significance, probability levels and errors, power analysis, and steps for testing your hypotheses
CHAPTER THREE
Determining Your Samples and Sample Sizes
Information about sample size, sampling strategies and random samples
CHAPTER FOUR
Measuring Your Dissertation Variables and Selecting Instruments
Information about measuring variables, types of measurement scales, types of data collection instruments, validity and reliability
CHAPTER FIVE
Choices for your Research Design and Dissertation Methodology
Information on selecting a research design and dissertation methodology
CHAPTER SIX
Using Statistical Tests that can Answer Your Research Questions
Overview of statistical tests including quantitative and qualitative data, descriptive statistics, t-tests, Chi Square, ANOVA, correlation and multiple regressions
CHAPTER SEVEN
Writing the Final Chapters of your Dissertation
Writing your dissertation chapters that are particularly difficult for most students
CHAPTER ONE:
Selecting Your Topic and
Developing Your Proposal
Here are 8 practical tips on how to select your dissertation topic and develop your research proposal or prospectus.
1.Select a general dissertation topic before you dive into the library or the Internet and drown in the resources.
Honestly consider the following before you rush headlong into a literature search on a subject area that you have not thoroughly examined from a personal standpoint.
Consider your own personal interest in the topic. Are you genuinely interested in this topic and willing to spend days, weeks, months and maybe years focused on it?
Evaluate the importance of the topic. Is this topic something that will be of benefit to the field you are part of? Will your work on this topic add to the body of knowledge?
Assess the usefulness of the topic. Is there some practical value that other professionals in your field can use or apply that makes your topic of actionable value?
Ask whether the topic is relevant and timely. Is your topic something that others in your field have written about in the recent past? Is it an area of discussion right now or is it passé?
Judge whether the time required to complete the research on this topic is realistic. Is the topic something you can research within a timeframe that is realistic or is the commitment of time too great for you to undertake as a doctoral project?
Weigh the level of difficulty. Is your topic one that has sensitivity, geography or complexity that will make the process of investigating it filled with extra stress? Does controversy surround it? Do you have to travel far and wide to access the data sources? Is it so complex that you will drown in the process of doing the research?
Analyze