• Introduction for Types of Dissertations
  • Overview of the Dissertation
  • Self-Assessment Exercise
  • What is a Dissertation Committee
  • Different Types of Dissertations
  • Introduction for Overview of the Dissertation Process
  • Responsibilities: the Chair, the Team and You
  • Sorting Exercise
  • Stages of a Dissertation
  • Managing Your Time
  • Create Your Own Timeline
  • Working with a Writing Partner
  • Key Deadlines
  • Self Assessment Exercise
  • Additional Resources
  • Purpose and Goals
  • Read and Evaluate Chapter 1 Exemplars
  • Draft an Introduction of the Study
  • Outline the Background of the Problem
  • Draft your Statement of the Problem
  • Draft your Purpose of the Study
  • Draft your Significance of the Study
  • List the Possible Limitations and Delimitations
  • Explicate the Definition of Terms
  • Outline the Organization of the Study
  • Recommended Resources and Readings
  • Purpose of the Literature Review
  • What is the Literature?
  • Article Summary Table
  • Writing a Short Literature Review
  • Outline for Literature Review
  • Synthesizing the Literature Review
  • Purpose of the Methodology Chapter
  • Topics to Include
  • Preparing to Write the Methodology Chapter
  • Confidentiality
  • Building the Components for Chapter Three
  • Preparing for Your Qualifying Exam (aka Proposal Defense)
  • What is Needed for Your Proposal Defense?
  • Submitting Your Best Draft
  • Preparing Your Abstract for IRB
  • Use of Self-Assessment
  • Preparing Your PowerPoint
  • During Your Proposal Defense
  • After Your Proposal Defense
  • Pre-observation – Issues to consider
  • During Observations
  • Wrapping Up
  • Recommended Resources and Readings (Qualitative)
  • Quantitative Data Collection
  • Recommended Resources and Readings (Quantitative)
  • Qualitative: Before you Start
  • Qualitative: During Analysis
  • Qualitative: After Analysis
  • Qualitative: Recommended Resources and Readings
  • Quantitative: Deciding on the Right Analysis
  • Quantitative: Data Management and Cleaning
  • Quantitative: Keep Track of your Analysis
  • The Purpose of Chapter 4
  • The Elements of Chapter 4
  • Presenting Results (Quantitative)
  • Presenting Findings (Qualitative)
  • Chapter 4 Considerations
  • The Purpose of Chapter 5
  • Preparing Your Abstract for the Graduate School
  • Draft the Introduction for Chapter 5
  • Draft the Summary of Findings
  • Draft Implications for Practice
  • Draft your Recommendations for Research
  • Draft your Conclusions
  • What is Needed
  • What Happens During the Final Defense?
  • What Happens After the Final Defense?

The Purpose of Chapter 4 Topic 1:  Chapter 4

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Chapter 4 PRESENTATION AND ANALYSIS OF DATA

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Chapter 4 PRESENTATION AND ANALYSIS OF DATA

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Chapter 4 PRESENTATION, ANALYSIS, AND INTERPRETATION OF DATA

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chapter 4

Mar 17, 2019

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CHAPTER 4. Developing a Research Plan. Research Questions & Hypotheses. First, decide whether you plan to use a qualitative or quantitative approach and data Decision-making table (Table 4.1) can help Research question —fundamental question inherent in research topic under investigation

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  • experimental designs
  • research questions
  • action research
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CHAPTER 4 Developing a Research Plan

Research Questions & Hypotheses • First, decide whether you plan to use a qualitative or quantitative approach and data • Decision-making table (Table 4.1) can help • Research question—fundamental question inherent in research topic under investigation • Purpose is to guide the study; goal is to be able to answer the question at the end of the study • Can guide both qualitative and quantitative studies • Review examples…

Research Questions & Hypotheses (cont.) Important characteristics of research questions: Qualitative questions should be more open-ended than quantitative questions Questions should not be stated in a manner that assumes an answer even before data are collected Ensure the question is neither too broad nor too specific Questions should be based in the body of literature on the topic Must be answerable (based on data) Must follow ethical practices Should be both important and feasible to answer

Research Questions & Hypotheses (cont.) Hypothesis—tentative, but intelligent and informed, guess as to outcome of study (made before study begins) Appropriate only when design calls for use of inferential statistical analysis (i.e., some, but not all, quantitative studies) Three types of hypotheses: Null hypothesis—no effect, change, or relationship Nondirectional research hypothesis—some sort of effect (etc.), but no prediction of direction of effect Directional research hypothesis—some effect with direction specified Review examples

Research Questions & Hypotheses (cont.) Important characteristics of hypotheses: Hypotheses cannot be proven Data can only support a stated hypothesis Research hypotheses are supported only when analysis of data statistically show that the null hypothesis is likely not true

Basic Research Designs Qualitative ‘resesarch designs’: Misnomer in qualitative research; perhaps ‘research plans’ Questions tend to be more open-ended (might even emerge during the study) More difficult to specify methods at the outset Several approaches exist: Case studies—particular individual, event, or program is studied Ethnographies—in-depth study of a group Phenomenological studies—studies of individual perceptions of a particular situation

Basic Research Designs (cont.) Specific qualitative approaches: Case studies Detailed study of a single setting, subject, or a particular event Begin with a very broad approach to topic; as study progresses, study becomes more focused Observational case studies: Most common type; involve study of particular organization or aspect of the organization Requirement to select focus within the setting

Basic Research Designs (cont.) Specific qualitative approaches (cont.): Observational studies: Similar, but focus is more broad Researcher becomes integral part of the study Participant observation is key Participant-observer continuum:

Basic Research Designs (cont.) Specific qualitative approaches (cont.): Constant comparative method—design for studies involving multiple data sources, where analysis begins early in data collection, continues throughout collection, and is nearly completed by the end of data collection Data collection actually begins prior to specific topic or focus being identified Cyclical process (good fit with action research)

Basic Research Designs (cont.) Quantitative research designs: Require the use of quantitative methods and data Four broad categories of quantitative designs appropriate for teacher-led action research: Descriptive designs Correlational designs Group comparison designs Single-subject designs

Basic Research Designs (cont.) Quantitative research designs (cont.): Descriptive designs—purpose is to describe and make interpretations of current status (i.e., as it exists) of individuals, objects, conditions, or events Observational research Focus is on a specific variable (not to be confused with qualitative counterpart) Observations of the single variable are made Survey research Acquiring information from representative individuals A ‘snapshot’ approach to studying many variables

Basic Research Designs (cont.) Quantitative research designs (cont.): Correlational designs—purpose is to measure and describe statistical relationship between two or more variables Requires calculation of correlation coefficients Reports strength and direction of relationship Typically range from -1.00 to +1.00 Interpretation of positive and negative coefficients (direction; indicated by + or -) Interpretation of numerical value (strength; indicated by number)

Basic Research Designs (cont.) Quantitative research designs (cont.): Group comparison designs—attempt to investigate cause-and-effect relationships by comparing two or more groups that differ on some characteristic Only one approach will show if one variable can cause another (experimental) Causal-comparative designs: Explore reasons behind existing differences between groups Ex post facto = ‘after the fact’ Presumed cause has already occurred (prior to study)

Basic Research Designs (cont.) Quantitative research designs (cont.): Pre-experimental designs: ‘Preliminary’ experimental designs Incorporate only some of critical aspects of experimental designs One-shot case study:

Basic Research Designs (cont.) Quantitative research designs (cont.): Pre-experimental designs: One-group pretest-posttest design:

Basic Research Designs (cont.) Quantitative research designs (cont.): Quasi-experimental designs: Come closest to experimental designs; only missing component is no random assignment Pretest-posttest control group design:

Basic Research Designs (cont.) Selecting a design & developing a research plan Permissions from students, parents, teachers, others May require formal permission Informed consent form (see Fig. 4.2) Guiding principles to be included: Principle of accurate disclosure Principle of beneficence Principle of honesty Principle of importance Develop a research schedule!

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  1. Chapter 4 presentation of data

    Chapter 4 presentation of data. Mar 20, 2011 •. 79 likes • 118,982 views. Polytechnic University of the Philippines. Technology Education. 1 of 13. Chapter 4 presentation of data - Download as a PDF or view online for free.

  2. PDF Chapter 4: Analysis and Interpretation of Results

    chapter, data is interpreted in a descriptive form. This chapter comprises the analysis, presentation and interpretation of the findings resulting from this study. The analysis and interpretation of data is carried out in two phases. The first part, which is based on the results of the questionnaire, deals with a quantitative analysis of data.

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  5. The Elements of Chapter 4

    Chapter 4. What needs to be included in the chapter? The topics below are typically included in this chapter, and often in this order (check with your Chair): Introduction. Remind the reader what your research questions were. In a qualitative study you will restate the research questions. In a quantitative study you will present the hypotheses.

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    This chapter deals with presentation of data precisely so that the voluminous data collected could be made usable readily and are easily comprehended. There are generally three forms of presentation of. Textual or Descriptive presentation. Tabular presentation. Diagrammatic presentation. 2.

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