Evaluating and Conducting Research in Audiology 1st Edition by Vinaya Manchaiah, Eldré Beukes, Ross J Roeser – Ebook PDF Instant Download/Delivery:1635502012, 9781635501902
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ISBN 10: 1635502012
ISBN 13: 9781635501902
Author: Vinaya Manchaiah, Eldré Beukes, Ross J Roeser
Evaluating and Conducting Research in Audiology is the first research methods textbook that is specific to the field of audiology and designed to serve as an academic textbook for audiology graduate students. This text can also be accessible for audiology practitioners who are interested in clinical and applied research. The comprehensive coverage includes materials for multiple courses within audiology degree programs, including research methods, analysis of professional literature, evidence-based practice, and capstone research projects.
Classroom tested, and written by authors who have extensive backgrounds in publishing and editing, this text provides knowledge that is required in evaluating, conducting, and disseminating research. The book is separated into three sections: (a) research methods; (b) evidence-based practice; and (c) conducting and disseminating research. Together, these sections provide a detailed coverage of the research methods that are relevant to conducting research, particularly in the field of Audiology.
Table of contents:
Section A. Research Methods in Audiology
1. The Research Process
Learning Outcomes
The Role of Research Within Audiology
Defining Research
Usual Practice
Service Evaluation
Clinical Audit
Overview of the Research Process
Stage 1: Conceiving the Study
Reviewing the Existing Literature
Developing the Scope and Aim of the Study
Identifying and Formulating Research Questions
Creating Hypotheses
Stage 2: Designing the Study
Research Variables
Experimental Versus Nonexperimental Research
Quantitative, Qualitative, and Mixed Research Methodologies
Research Compliance
Stage 3: Collecting Data
Data Collection Format
Type and Amount of Data Collected
Data Collection Setting
Data Management
Stage 4: Analyzing Data and Drawing Conclusions
Inspecting the Data for Errors
Statistical Analysis
Drawing Conclusions
Stage 5: Dissemination
Translating Research Into Clinical Practice
The Research Proposal
The Research Team
Feasibility of Research Project
Outlining the Resources Required
Planning the Timescale
Considerations for Recruiting and Maintaining Participants
Preregistration of Studies
Key Points
Review Questions
References
2. Research Compliance
Learning Outcomes
Research Compliance
Ethical Considerations for Human and Animal Research
Ethical Codes
The Nuremberg Code
The Declaration of Helsinki
The Belmont Report
Ethical Principles
Good Clinical Practice
Research Principles Outlined by Professional Associations
Data Protection
Confidentiality and Privacy
The European General Data Protection Act
The United States Health Insurance Portability and Accountability Act
Research With Vulnerable Groups
Informed Consent
Ways of Providing the Necessary Informed Consent
Capacity to Consent
Research Involving Animals
The Ethical Application Process
Applying for Ethical Approval
Ethical Application in Settings with Ethical Review Boards
Ethical Applications in Independent Settings
Research Ethics for International Research
Research Integrity
Research Fudging
Conflict of Interest
Credit for Intellectual Effort
Types of Copyright License
Active Partnerships to Increase Research Quality and Compliance
Patient and Public Involvement in Research
Reporting Patient Public Involvement in Academic Publications
Key Points
Review Questions
References
3. Research Methods
Learning Outcomes
Defining Scientific Methods
Scientific Theory, Law, and Models
Scientific Theory
Scientific Law
Scientific Model
History and Philosophy of Science
History of Science
Philosophy of Science
Naïve Realism
Antirealism
Critical Realism
Role of Theory in Research
Deductive Versus Inductive Inference
Research Hierarchy: Methodology, Method, and Design
Types of Research
Empirical Versus Nonempirical Research
Basic Versus Applied Research
Animal Versus Human Research
Descriptive Versus Analytical Research
Exploratory Versus Confirmatory Research
Feasibility Versus Pilot Studies
Prospective Versus Retrospective Research
Quantitative Versus Qualitative Research
Observational Versus Experimental Research
Laboratory Versus Field Research
Cross-sectional Versus Longitudinal Research
Common Ways of Categorizing Research Studies
Research Methodology
Quantitative Research
Variable
Qualitative Research
Difference and Opinion Between Quantitative and Qualitative Research
Mixed-Methods Research
Common Research Strategies Used in Audiology
Key Points
Review Questions
References
4. Research Design
Learning Outcomes
Introduction
Research Designs
Cross-Sectional Design
Repeated Cross-Sectional Design
Cohort Design
Case-Control Design
Experimental Design
Pre-, Quasi-, and True-Experimental Designs
A Randomized Controlled Trial
Parallel-Group Versus Crossover Experimental Designs
Treatment Efficacy and Effectiveness Trials
Considerations When Choosing Research Designs
Criteria for Quality in Quantitative Research
Validity
Reliability
Generalizability
Evaluating Clinical Research
Quality Analysis of Studies and Level of Evidence
Nature of Clinical Data
Clinical Practice Guidelines
Rigor and Reproducibility in Scientific Research
The Reproducibility Crisis in Research
Best Evidence Versus Best Available Evidence
Minimizing Bias in Research
Key Points
Review Questions
References
5. Variables, Sampling, and Sample Size
Learning Outcomes
Introduction
Variables in Empirical Research
Types of Variables
Independent Variable
Dependent Variable
Extraneous Variable
Confounding Variable
Demographic Variable
Environmental Variable
Examples of Different Variables in a Study
Variables During Data Collection and Analysis
Levels of Measurement
Populations and Samples
Parameters Versus Statistics
Sample Characteristics
Sampling Methods
Probability Sampling
Simple Random Sampling
Systematic Random Sampling
Stratified Random Sampling
Cluster Sampling
Nonprobability Sampling
Convenience Sampling
Snowball Sampling
Consecutive Sampling
Quota Sampling
Self-Selection Sampling
Purposive Sampling
Theoretical Sampling
Challenges in Implementing Probability Sampling Methods
Sampling Bias
Sample Size
Sampling Error
Power Analysis
Sample Size Estimation
Post Hoc Power Analysis
Challenges in Recruiting Study Participants
Key Points
Review Questions
References
6. Analyzing and Interpreting Quantitative Data
Learning Outcomes
Introduction
An Overview of Analyzing and Interpreting Quantitative Data
Preparing Data for Analysis
Error Checking and Outliers
Missing Data
Describing the Data
Measures of Central Tendency
Mean
Median
Mode
Measures of Variability
Range
Variance
Standard Deviation
z Scores
Standard Error
Quartiles
Describing the Distribution
Normal Distribution
Skewness and Kurtosis
Central Limit Theorem
Data Transformation
Selecting Appropriate Statistical Tests
Assumptions Required for Parametric Testing
Assumptions of Normality
Homogeneity of Variance
Considerations When Using Parametric Statistics
Considerations When Using Nonparametric Statistics
Quantitative Data Analysis
Hypothesis Testing
Specifying the Hypotheses
Probability Values (p Value)
One- or Two-Tailed Tests
Degrees of Freedom
Alternative or Complementary Approaches to Significance Testing
Effect Size Calculations
Odds or Risk Ratios
Confidence Interval and Margin of Error
Clinical Significance
Bayesian Analysis
Testing Differences Between Two Means
t Test
Types of t Tests
Comparing Groups
Analysis of Variance
Main Effects and Interaction Effects
Types of Analysis of Variance
Analysis of Covariance
Post Hoc Testing
Examining Relationships Between Variables
Correlation Analysis
The Pearson Product-Moment Correlation Coefficient
Predicting and Assessing the Strength of the Relationship Between Variables
Regression Analysis
Nonparametric Regression Models
Grouping Variables
Factor Analysis
Cluster Analysis
Analyzing the Performance of Diagnostic Tests
Reporting Statistical Test Results
Reporting the Outcome of Statistical Analysis
Visual Representation of the Data
Common Pitfalls When Conducting and Reporting Statistics
Interpreting Statistical Findings
Key Points
Review Questions
References
7. Qualitative Research Methods
Learning Outcomes
Scope and Context of Qualitative Research
Qualitative Research Traditions
Grounded Theory
Phenomenology
Ethnography
Ethnomethodology
Action Research
Narrative Research
Case Study
Sampling and Recruiting Participants
Sampling Methods
Convenience Sampling
Snowball Sampling
Purposive Sampling
Maximum Variation Sampling
Theoretical Sampling
Determining Sampling Method
Sampling Adequacy
Other Considerations When Recruiting Participants
Data Collection Methods and Settings
Data Collection Methods
Interviews
Focus Groups
Questionnaires
Observations
Document Analysis
Employing Multiple Data Collection Methods
Data Collection Settings
Checking Accuracy
Data Analysis Methods
Two Main Approaches to Qualitative Data Analysis
Data Analysis Steps
Transcribing Data
Becoming Familiar With the Data
Data Organization
Generating Codes
Data Interpretation and Pattern Identification
Tying Field Data to Research Objective(s) and Drawing Verifiable Conclusions
Common Qualitative Data Analysis Methods
Descriptive Analysis
Content Analysis
Thematic Analysis
Constant Comparative Method
Conversation Analysis
Discourse Analysis
Interpretive Phenomenological Analysis
Data Saturation and Trustworthiness
Use of Qualitative Data Analysis Software Programs
Role of a Researcher
Emic or Etic Research Perspectives
Theoretical Orientation and Methodological Choices
Training and Experience
Disciplined Subjectivity
Safeguarding Participant Anonymity
Acknowledging the Role of a Researcher
Reporting Qualitative Research
Thick Description of the Data
Interpretive Themes
Anonymity of Participants
Visual Presentation of the Data
Scientific Rigor in Qualitative Research
Reflexivity
Validity
Credibility
Dependability
Confirmability and Audit Trail
Transferability
Key Points
Review Questions
References
8. Mixed-Methods Research
Learning Outcomes
Introduction
Overview of Mixed-Methods Research
Characteristics of Mixed-Methods Research
Comparing Qualitative, Quantitative, and Mixed-Methods Research
Advantages and Challenges of Mixed-Methods Research
Conducting Mixed-Methods Research
Identifying the Rationale for Mixed-Methods Research
Selecting the Study Design Within Mixed-Methods Research
Identifying the Sampling Strategy
Data Collection
Data Analysis
Data Interferences
Examples of Mixed-Methods Studies in Audiology
Big Data Research Using Mixed Methods
Evaluating Mixed-Methods Research
Key Points
Review Questions
References
9. Survey Research
Learning Outcomes
Defining Survey Research
Advantages and Limitations of Survey Research
Purposes of Surveys
Gathering Opinions, Beliefs, and Feelings
Diagnostic Measure
Outcome Measure
Epidemiological Studies
Multipurpose Surveys
Study Designs in Survey Research
Cross-Sectional Surveys
Repeated Cross-Sectional Surveys
Panel Surveys
Survey Experiments
Sampling and Participant Recruitment
Sampling Methods
Sample Size Adequacy
Response Rate
Data Collection Methods
Types of Surveys
Questionnaires
Interviews
Mixed Mode Surveys
Survey Administration Methods
Written Survey
Oral Survey
Paper and Pencil Versus Electronic Survey
First-Hand Versus Third-Party Administration
Types of Questions
Open-Ended Questions
Closed-Ended Questions
Mixture of Open-Ended and Closed-Ended Questions
Response Options
Rating Versus Ranking
Open-Response Formats
Dichotomous Responses
Likert Response Scales
Visual Analogue Scale
Missing Data and Erroneous Data
The Importance of Anonymity
Considerations for Designing, Adapting, Validating, or Choosing a Questionnaire
Designing a Questionnaire
Conceptual Clarity
Comprehensibility
Wording of Questions
Response Formats and Scoring
Question Sequence
Administration Format
Keep Analysis in Mind
Checking Survey Quality
Pretesting
Translation and Adaptation of Questionnaires
Validating a Questionnaire
Validity
Reliability
Responsiveness
Interpretability
Floor and Ceiling Effect
Choosing a Questionnaire
Core Outcome Set
Approaches to Survey Data Analyses
Preparing Data for the Analysis
Types of Data
Data Structure
Choosing a Data Analysis Method
Analysis of Likert Scale Responses
Data Interpretation
Describing Phenomenon
Correlation Versus Causality
Reported Behavior Versus Actual Behavior
Adequacy of Psychometric Properties
Sources of Bias in Survey Research
Key Points
Review Questions
References
Section B. Evidence-Based Practice
10. Evidence-Based Practice
Learning Outcomes
Health-Care Decision Making
Types of Knowledge
Traditional Knowledge
Authority Knowledge
Personal Knowledge
Trial and Error Knowledge
Research-Based Knowledge
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