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Burns and Grove's The Practice of Nursing Research - E-Book

Burns and Grove's The Practice of Nursing Research - E-Book

Jennifer R. Gray | Susan K. Grove | Suzanne Sutherland

(2016)

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Book Details

Abstract

Awarded first place in the 2017 AJN Book of the Year Awards in the Nursing Research category. Master the research methods used as a foundation for evidence-based practice! Burns and Grove’s The Practice of Nursing Research, 8th Edition provides a solid foundation in the appraisal, synthesis, and generation of research evidence for clinical nursing practice. Not only will you learn how to properly evaluate and use existing research evidence, but you’ll also learn how to participate in research and quality improvement projects. Updated to reflect today’s focus on online research and evidence-based practice, this edition includes clear, step-by-step guidelines to research procedures as well as many examples from current and classic literature. From an expert author team led by Jennifer Gray, this book helps you perform scholarly research for evidence-based practice.

  • Emphasis on evidence-based practice helps you learn to generate research evidence and to appraise and synthesize existing research for application to clinical practice.
  • Emphasis on qualitative research includes phenomenological research, grounded theory research, ethnographic research, exploratory-descriptive research, and historical research.
  • Coverage of quantitative, qualitative, and other research methodologies gives you a solid foundation to conduct, appraise, and apply research evidence to the realities of today’s clinical practice.
  • Rich examples from the nursing literature bring research principles to life.
  • Information on collecting digital data guides you through the use of online research.
  • Clear, comprehensive coverage is organized into five units: 1) Introduction to Nursing Research, 2) The Research Process, 3) Putting It All Together for Evidence-Based Health Care, 4) Analyzing Data, Determining Outcomes, and Disseminating Research, and 5) Proposing and Seeking Funding for Research.
  • NEW Mixed Methods Research chapter and emphasis covers this increasingly popular approach to research.
  • NEW! Expanded emphasis on qualitative research provides more balanced coverage of qualitative and quantitative methods, addressing the qualitative research methodologies that are often the starting point of research projects, particularly in magnet hospitals and DNP programs.
  • ENHANCED emphasis on evidence-based practice addresses this key graduate-level QSEN competency.
  • UPDATED emphasis on the most currently used research methodologies focuses on the methods used in both quantitative research and qualitative research, as well as outcomes research and mixed methods research.
  • NEW! Quick-reference summaries are located inside the book's covers, including a table of research methods on the inside front cover and a list of types of research syntheses (with definitions) inside the back cover.
  • NEW student resources on the Evolve companion website include 400 interactive review questions along with a library of 10 Elsevier research articles.
  • NEW! Colorful design highlights key information such as tables and research examples

Table of Contents

Section Title Page Action Price
Front Cover cover
Inside Front Cover ifc1
Simple TOC i
Evolve page ii
Burns & Grove's The Practice of Nursing Research iii
Copyright Page iv
Dedication v
Contributors vi
Reviewers vii
Preface viii
New Content ix
Student Ancillaries x
Instructor Ancillaries x
Acknowledgments xi
Table Of Contents xii
Unit One Introduction to Nursing Research 1
1 Discovering the World of Nursing Research 1
Definition of Nursing Research 1
Framework Linking Nursing Research to the World of Nursing 2
Concrete-Abstract Continuum 2
Empirical World 3
Reality Testing Using Research 3
Roles of Nurses in Research 4
Abstract Thought Processes 5
Introspection 5
Intuition 5
Reasoning 6
Problematic reasoning. 6
Operational reasoning. 6
Dialectic reasoning. 6
Logical reasoning. 7
Science 7
Theory 8
Knowledge 8
Ways of Acquiring Nursing Knowledge 9
Traditions. 9
Authority. 9
Borrowing. 9
Trial and error. 9
Personal experience. 10
Role-modeling and mentorship. 10
Philosophy 11
Significance of Research in Building an Evidence-Based Practice for Nursing 11
Focus of Research Evidence in Nursing 12
Description 12
Explanation 13
Prediction 14
Control. 14
Key Points 15
References 15
2 Evolution of Research in Building Evidence-Based Nursing Practice 18
Historical Development of Research in Nursing 18
Florence Nightingale 18
Early 1900s 20
Nursing Research in the 1950s and 1960s 20
Nursing Research in the 1970s 21
Nursing Research in the 1980s and 1990s 22
Nursing Research in the 21st Century 23
Research Focused on Health Promotion and Illness Prevention 24
Linking Quality and Safety Education for Nursing (QSEN) Competencies and Nursing Research 24
Current Mission for the Agency for Healthcare Research and Quality 24
National Institute of Nursing Research Mission and Strategic Plan 25
Methodologies for Developing Research Evidence in Nursing 25
Comparison of Quantitative and Qualitative Research 25
Philosophical Origins of Quantitative and Qualitative Research Methods 25
Focuses of Quantitative and Qualitative Research Methods 26
Uniqueness of Conducting Quantitative Research and Qualitative Research 27
Classification of Research Methodologies Presented in This Text 27
Quantitative Research Methods 28
Descriptive Research 28
Correlational Research 28
Quasi-Experimental Research 28
Experimental Research 29
Qualitative Research Methods 29
Phenomenological Research 29
Grounded Theory Research 29
Ethnographic Research 29
Exploratory-Descriptive Qualitative Research 29
Historical Research 29
Mixed Methods Research 30
Outcomes Research 30
Introduction to Best Research Evidence for Practice 30
Definition of Best Research Evidence 30
Levels of Research Evidence 32
Introduction to Evidence-Based Practice Guidelines 33
Key Points 34
References 34
3 Introduction to Quantitative Research 37
The Scientific Method 37
Terminology: Methodology, Design, Method 38
Types of Quantitative Research 38
Descriptive Research 39
Correlational Research 39
Experimental Research 40
Quasi-Experimental Research 40
Applied Versus Basic Research 41
Applied Research 42
Rigor in Quantitative Research 42
Control in Quantitative Research 43
Sampling and Attrition 44
Research Settings 45
Control Groups Versus Comparison Groups 45
Steps of the Quantitative Research Process 45
The Iterative Process 45
Formulating a Research Problem and Purpose 47
Review of the Literature 48
Frameworks 49
Making Assumptions Explicit 49
Formulating Research Objectives, Questions, or Hypotheses 50
Defining Study Concepts and Variables 51
Selecting a Research Design 52
Defining the Population and Sample 53
Selecting Methods of Measurement 53
Developing a Plan for Data Collection and Analysis 54
Implementing the Research Plan 54
Pilot Studies 54
Data Collection 55
Data Analysis 56
Interpreting Research Outcomes 57
Communicating Research Findings 58
Key Points 58
References 58
4 Introduction to Qualitative Research 62
Perspective of the Qualitative Researcher 62
Philosophy Describes a View of Science 63
Philosophy Guides Methods 63
Philosophy Guides Criteria of Rigor 64
Approaches to Qualitative Research 65
Phenomenological Research 65
Philosophical Orientation 65
Phenomenology’s Contribution to Nursing Science 66
Grounded Theory Research 67
Philosophical Orientation 67
Grounded Theory’s Contribution to Nursing Science 67
Ethnographic Research 68
Philosophical Orientation 68
Ethnography’s Contribution to Nursing Science 69
Exploratory-Descriptive Qualitative Research 69
Philosophical Orientation 70
Exploratory-Descriptive Qualitative Research’s Contribution to Nursing Science 70
Historical Research 71
Philosophical Orientation 71
Historical Research’s Contribution to Nursing Science 71
Other Approaches to Qualitative Research 72
Key Points 73
References 73
Unit Two The Research Process 76
5 Research Problem and Purpose 76
The Research Problem 76
Types of Research Problems and Gaps 76
Elements That Comprise the Research Problem Statement 77
The Research Purpose 78
Sources of Research Problems 78
Identifying a Problem Area 78
Clinical Practice 78
Professional Journals in One’s Area of Expertise 79
Collaboration with Faculty and Nurse Researchers 79
Research Priorities Identified by Funding Agencies and Specialty Groups 80
Refining the Research Problem Area 80
Discussions with Peers 80
Literature Review 81
Replication research. 81
To Summarize: How to Decide on a Problem Area and Formulate a Purpose Statement 83
How to Decide on a Problem Area 83
How to Formulate a Purpose Statement 83
What Is Researchable 83
Which Methodology Is Suitable 84
Whether the Plans are Realistic 85
What Is Reasonable 85
Examples of Research Topics, Problems, and Purposes for Different Types of Research 86
Quantitative Research 86
Qualitative Research 87
Mixed Methods Research 92
Outcomes Research 93
Key Points 93
References 93
6 Objectives, Questions, Variables, and Hypotheses 98
Levels of Abstraction 98
Purposes, Objectives, and Aims 99
Formulating Objectives or Aims in Quantitative Studies 100
Formulating Objectives or Aims in Qualitative Studies 101
How to Construct Research Questions 101
Formulating Questions in Quantitative Studies 103
Formulating Questions in Qualitative Studies 104
Variables in Quantitative Versus Qualitative Research 104
Concepts in Qualitative Research 105
Types of Variables in Quantitative Research 105
Demographic Variables 105
Independent and Dependent Variables 106
Interventional research designs: independent and dependent variables. 106
Predictive correlational design: independent and dependent variables. 107
Extraneous variables in interventional and correlational studies. 107
Confounding variables in interventional studies. 107
Other Variables Encountered in Quantitative Research 108
Variables Pertaining to Measurement 109
Defining Concepts and Operationalizing Variables in Quantitative Studies 109
Conceptual Definitions 109
Defining Concepts in Qualitative Research 110
Operational Definitions in Quantitative Research 110
Hypotheses 111
Types of Hypotheses 112
Causal versus Associative Hypotheses 112
Simple versus Complex Hypotheses 112
Nondirectional Versus Directional Hypotheses 113
Null Versus Research Hypotheses 113
Putting Various Hypothesis Types Together 114
Testing Hypotheses 114
Mixed Methods Research and Outcomes Research 114
Key Points 117
References 117
7 Review of Relevant Literature 120
Getting Started: Frequently Asked Questions 120
What Is a Literature Review? 120
What Is the “Literature”? 120
What Types of Literature Can I Expect to Find? 121
Why Write a Review of the Literature? 123
Writing a Course Paper 123
Evaluating Clinical Practice 123
Developing a Qualitative Research Proposal 123
Developing a Quantitative Research Proposal 124
Practical Considerations for Performing a Literature Review 125
How Long Will the Review of the Literature Take? 125
How Many Sources Do I Need to Review? 126
Am I Expected to Read Every Word of the Available Sources? 126
Stages of a Literature Review 126
Searching the Literature 126
Develop a Search Plan 127
Select Databases to Search 127
Search Strategies 127
Keywords 127
Authors 128
Complex Searches 129
Limit Your Search 129
Search the Internet 130
Locate Relevant Literature 130
Systematically Record References 131
Use Reference Management Software 131
Saved Searches and Alerts 132
Processing the Literature 132
Reading 132
Appraising and Analyzing Sources for Possible Inclusion in a Review 132
Sorting Your Sources 133
Synthesizing Sources 133
Writing the Review of Literature 134
Writing Suggestions 134
Organization of Written Reviews 134
Introduction 135
Discussion of Theoretical Literature 135
Discussion of Empirical Literature 135
Summary 135
Refining the Written Review 135
Checking References 135
Key Points 136
References 136
8 Frameworks 138
Introduction of Terms 138
Concept 138
Relational Statements 139
Conceptual Models 139
Theory 139
Middle-Range Theories 140
Research Frameworks 140
Understanding Concepts 140
Concept Synthesis 141
Concept Derivation 141
Concept Analysis 141
Examining Statements 142
Characteristics of Relational Statements 143
Direction 143
Shape 144
Strength 144
Sequential Relationships 145
Probability of Occurrence 146
Necessity 146
Sufficiency 146
Levels of Abstraction of Statements 146
Grand Theories 147
Middle-Range Theories 147
Appraising Theories and Research Frameworks 148
Critical Appraisal of a Research Framework 148
Developing a Research Framework for Study 150
Identifying and Adapting an Existing Theory 150
Synthesis From Research Findings 151
Proposing a Framework From Practice Experiences 151
Defining Relevant Concepts 152
Developing Relational Statements 152
Developing Hierarchical Statement Sets 153
Constructing a Conceptual Map 153
Key Points 153
References 154
9 Ethics in Research 157
Historical Events Affecting the Development of Ethical Codes and Regulations 157
Tuskegee Syphilis Study 158
Nazi Medical Experiments 158
Nuremberg Code 159
Declaration of Helsinki 159
Guatemala Sexually Transmitted Disease Study 160
Willowbrook Study 160
Jewish Chronic Disease Hospital Study 160
Early U.S. Government Research Regulations 161
U.S. Department of Health, Education, and Welfare 161
National Commission for the Protection of Human Subjects of Biomedical and Behavioral Research 161
Standards for Privacy for Research Data 161
Protection of Human Rights 162
Right to Self-Determination 162
Preventing Violation of Research Subjects’ Right to Self-Determination 163
Protecting Persons With Diminished Autonomy 163
Legally or mentally incompetent subjects. 164
Neonates. 164
Children. 164
Adults with diminished capacity. 166
Other vulnerable populations. 167
Pregnant women. 167
Terminally ill subjects. 167
Subjects who are hospitalized or imprisoned. 167
Right to Privacy 168
De-Identifying Protected Health Information Under the Privacy Rule 169
Limited Data Set and Data Use Agreement 169
Right to Anonymity and Confidentiality 170
Breach of Confidentiality 170
Maintaining Confidentiality 170
Right to Fair Treatment 172
Fair Selection of Subjects 172
Fair Treatment of Subjects 172
Right to Protection from Discomfort and Harm 173
No Anticipated Effects 173
Temporary Discomfort 173
Unusual Levels of Temporary Discomfort 173
Risk of Permanent Damage 174
Certainty of Permanent Damage 174
Balancing Benefits and Risks for a Study 174
Assessment of Benefits 174
Assessment of Risks 175
Benefit-Risk Ratio 175
Human Subject Protection in Genomics Research 175
Obtaining Informed Consent 176
Information Essential for Consent 176
Introduction of Research Activities 176
Description of Risks and Discomforts 177
Description of Benefits 177
Disclosure of Alternatives 177
Assurance of Anonymity and Confidentiality 177
Compensation for Participation in Research 177
Offer to Answer Questions 177
Noncoercive Disclaimer 178
Option to Withdraw 178
Consent to Incomplete Disclosure 178
Comprehension of Consent Information 178
Competence to Give Consent 179
Voluntary Consent 179
Documentation of Informed Consent 179
Written Consent Waived 179
Written Consent Documents 179
Short-form written consent document. 179
Formal written consent document. 180
Recording of the Consent Process 181
Authorization for Research Uses and Disclosure 181
Institutional Review 181
Levels of Reviews Conducted by Institutional Review Boards 182
Influence of HIPAA Privacy Rule on Institutional Review Boards 184
Research Misconduct 184
Role of the ORI in Promoting the Conduct of Ethical Research 185
Role of Journal Editors and Researchers in Preventing Scientific Misconduct 186
Animals as Research Subjects 186
Key Points 187
References 188
10 Quantitative Methodology 192
Concepts Relevant to Quantitative Research Designs 194
Causality 194
Multiple Causality 195
Probability and Prediction 195
Bias 195
Measurement 195
Manipulation 195
Control 196
Prospective Versus Retrospective 196
Partitioning 197
Design Validity for Noninterventional Research 197
Construct Validity 197
Internal Validity 198
External Validity 199
Statistical Conclusion Validity 199
Descriptive Research and Its Designs 200
Descriptive Design 200
Comparative Descriptive Design 201
Designs That Capture Change Across Time 204
Longitudinal Designs 204
Cross-Sectional Designs 207
Confusion About the Term Descriptive Correlational Design 207
Correlational Designs 208
Simple Correlational Designs 209
Predictive Designs 212
Model-Testing Designs 213
Key Points 214
References 215
11 Quantitative Methodology 217
Concepts Relevant to Interventional Research Design 217
Random Selection Versus Random Assignment 217
Random Selection 217
Random Assignment 218
Causality and Its Emergence in Modern Research 218
Multiple Causality 219
Manipulation 219
Control 219
Control for the Effects of Extraneous Variables 219
Control Groups and Comparison Groups 220
Prospective Versus Retrospective 220
Partitioning 221
Validity for Interventional Research 221
Construct Validity 221
Reducing Threats to Construct Validity 224
Internal Validity 225
Reducing Threats to Internal Validity 227
External Validity 227
Statistical Conclusion Validity 228
Categorizing and Naming Research Designs 230
Experimental Designs 230
Pretest-Posttest Control Group Design (True Experimental Design) 232
Common Variations of the Pretest-Posttest Control Group Design 233
Experimental Posttest-Only Control Group Design 234
Solomon Four-Group Design 235
Factorial Design 235
Crossover or Counterbalanced Design 236
Quasi-Experimental Designs 238
Quasi-Experimental Designs and Internal Validity 238
Two Pre-Experimental Designs 238
Quasi-Experimental Studies and How They Deviate From Experimental Design, by Type 241
Studies That Lack Researcher-Controlled Manipulation of the Independent Variable 241
Studies That Lack the Traditional Type of Control Group (Subjects Used as Their Own Controls) 241
Studies That Lack Random Assignment to Group 243
Maintaining Consistency in Interventional Research 246
Precision of Delivery of the Independent Variable, and Measures of the Dependent Variable 246
Treatment Fidelity 246
Counterbalancing of Multiple Pieces of the Intervention 246
Controlling Measurement 247
Randomized Controlled Trials 247
Algorithms of Research Design 247
Key Points 248
References 249
12 Qualitative Research Methods 251
Clinical Context and Research Problems 252
Literature Review for Qualitative Studies 252
Theoretical Frameworks 252
Research Objectives or Questions 253
Obtaining Research Participants 254
Researcher-Participant Relationships 255
Data Collection Methods 256
Observations 256
Example Study Using Observation 258
Interviews 258
Learning to Interview 260
Establishing a Positive Environment for an Interview 260
Conducting an Effective Interview 261
Problems During Interviews 261
Example Study Using Interviews 262
Focus Groups 263
Example Study Using Focus Groups 265
Electronically Mediated Data 265
Photographs and Video 265
Internet-Based Data 267
Transcribing Recorded Data 268
Data Management 268
Data Analysis 269
Immersion in the Data 270
Coding 270
Content Analysis 272
Narrative Analysis 272
Memoing 273
Audit Trail 274
Findings and Conclusions 274
Reporting Results 274
Methods Specific to Qualitative Approaches 275
Phenomenological Research Methods 275
Grounded Theory Methodology 275
Ethnographical Methodology 276
Gatekeepers and Informants 277
Gathering and Analyzing Data 277
Exploratory-Descriptive Qualitative Methodology 278
Historical Research Methodology 278
Sources 279
Historical Data Analysis 279
Writing the Historical Narrative 279
Key Points 280
References 281
13 Outcomes Research 284
Current Status of Outcomes Research 285
Theoretical Basis of Outcomes Research 285
Patterns of Data Collection 286
Attribution 286
Structure and Process Versus Outcome in Today’s Healthcare and Outcomes Research 287
Evaluating Structures 292
Processes of Care and Their Relationship to Outcomes 292
Standards of Care 292
Practice Styles 293
Costs of Care 293
Critical Paths or Pathways 293
Federal Government Involvement in Outcomes Research 293
Agency for Healthcare Research and Quality 293
American Recovery and Reinvestment Act 294
Nongovernmental Involvement in Outcomes Research 295
Medical Outcomes Study 295
Origins of Outcomes/Performance Monitoring 295
Outcomes Research and Evidence-Based Practice 295
Nursing-Sensitive Patient Outcomes 296
The Collaborative Alliance for Nursing Outcomes California Database Project 298
National Quality Forum 299
Oncology Nursing Society 299
Methodological Considerations for Outcomes Studies 299
Methodology and Design 299
Philosophical Origins, Theoretical Framework, Overriding Purpose 299
Methods 300
Samples and Sampling 300
Large Databases as Sample Sources 300
The Specific Designs of Outcomes Research 300
Designs 300
Practice Pattern Profiling 301
Prospective Cohort Studies 301
Retrospective Cohort Studies 301
Population-Based Studies 302
Geographical Analyses 303
Economic Studies 304
Measurement Problems and Methods 304
Statistical Methods for Outcomes Studies 305
Analysis of Change and Analysis of Improvement 305
Measures of Outcomes That May Be Used Non-Numerically 305
Multilevel Analysis 305
Key Points 306
References 306
14 Mixed Methods Research 310
Philosophical Foundations 310
Overview of Mixed Methods Designs 311
Exploratory Sequential Designs 312
Explanatory Sequential Designs 314
Convergent Concurrent Designs 315
Challenges of Mixed Methods Designs 319
Combining Quantitative and Qualitative Data 319
Use of Resources 322
Functioning of the Research Team 323
Critically Appraising Mixed Methods Designs 323
Summary of the Study 323
Significance 323
Expertise 323
Appropriateness 324
Sampling 324
Methods 325
Findings 325
Conclusions and Implications 326
Contributions to Knowledge 326
Key Points 326
References 327
15 Sampling 329
Sampling Theory 329
Populations and Elements 329
Sampling or Eligibility Criteria 330
Sample Representativeness 332
Sampling Error 333
Random Variation 333
Systematic Variation 333
Refusal and acceptance rates in studies. 334
Sample attrition and retention rates in studies. 334
Randomization 336
Sampling Frame 336
Sampling Plan 336
Probability (Random) Sampling Methods 336
Simple Random Sampling 338
Stratified Random Sampling 339
Cluster Sampling 340
Systematic Sampling 342
Nonprobability (Nonrandom) Sampling Methods Commonly Applied in Quantitative and Outcomes Research 342
Convenience Sampling 343
Quota Sampling 344
Nonprobability Sampling Methods Commonly Applied in Qualitative and Mixed Methods Research 344
Purposive Sampling 345
Network (Snowball) Sampling 345
Theoretical Sampling 346
Sample Size in Quantitative Research 347
Effect Size 348
Type of Study 350
Number of Variables 350
Measurement Sensitivity 351
Data Analysis Techniques 351
Sample Size in Qualitative Research 351
Scope of the Study 352
Nature of the Topic 352
Quality of the Data 352
Study Design 352
Research Settings 353
Recruiting and Retaining Research Participants 354
Recruiting Research Participants 354
Retaining Participants in a Study 359
Key Points 360
References 361
16 Measurement Concepts 363
Directness of Measurement 363
Measurement Error 364
Types of Measurement Errors 364
Levels of Measurement 367
Nominal Level of Measurement 367
Ordinal Level of Measurement 368
Interval Level of Measurement 368
Ratio Level of Measurement 368
Importance of Level of Measurement for Statistical Analyses 368
Controversy Over Measurement Levels 369
Reference Testing Measurement 369
Reliability 370
Reliability Testing 370
Stability Reliability 370
Equivalence Reliability 372
Internal Consistency 373
Validity 375
Content Validity 376
Content Validity Ratio and Index 378
Readability of an Instrument 380
Construct Validity 381
Validity From Factor Analysis 381
Convergent Validity 382
Divergent Validity 382
Validity From Contrasting (or Known) Groups 383
Evidence of Validity From Discriminant Analysis 383
Successive Verification of Validity 383
Criterion-Related Validity 383
Accuracy, Precision, and Error of Physiological Measures 384
Accuracy 384
Precision 385
Sensitivity 386
Error 386
Sensitivity, Specificity, and Likelihood Ratios 388
Sensitivity and Specificity 388
Likelihood Ratios 390
Key Points 390
References 391
17 Measurement Methods Used in Developing Evidence-Based Practice 394
Physiological Measurement 394
Obtaining Physiological Measures by Self-Report 395
Obtaining Physiological Measures by Observation 396
Obtaining Physiological Measures From Laboratory Tests 396
Obtaining Physiological Measures Through Electronic Monitoring 397
Genetic Advancements in Measuring Nucleic Acids 399
Obtaining Physiological Measures Across Time 401
Selecting a Physiological Measure 401
Reporting Physiological Measures in Studies 402
Observational Measurement 402
Structured Observations 402
Category Systems 403
Rating Scales 403
Interviews 403
Structured Interviews 403
Designing Interview Questions 405
Pilot-Testing the Interview Protocol 405
Training Interviewers 405
Preparing for an Interview 405
Probing 405
Recording Interview Data 405
Advantages and Disadvantages of Interviews 406
Questionnaires 407
Development of Questionnaires 407
Questionnaire Validity 410
Analysis of Questionnaire Data 411
Scales 411
Rating Scale 411
Likert Scale 411
Visual Analog Scale 414
Q-Sort Methodology 415
Delphi Technique 417
Diaries 418
Measurement Using Existing Databases 420
Existing Healthcare Data 421
Selection of an Existing Instrument 422
Locating Existing Instruments 422
Evaluating Existing Instruments for Appropriateness and Performance 423
Assessing Readability Levels of Instruments 423
Constructing Scales 423
Constructing a Scale by Using Classic Test Theory 424
Constructing a Scale by Using Item Response Theory 425
Constructing a Scale by Using Multidimensional Scaling 426
Translating a Scale to Another Language 426
Key Points 427
References 428
Unit Three Putting It All Together for Evidence-Based Health Care 431
18 Critical Appraisal of Nursing Studies 431
Evolution of Critical Appraisal of Research in Nursing 431
When Are Critical Appraisals of Research Implemented in Nursing? 432
Critical Appraisal of Studies by Students 432
Critical Appraisal of Research by Practicing Nurses 432
Critical Appraisal of Research by Nurse Educators 433
Critical Appraisal of Studies by Nurse Researchers 433
Critical Appraisal of Research Presentations and Publications 433
Critical Appraisal of Abstracts for Conference Presentations 433
Critical Appraisal of Research Articles for Publication 433
Critical Appraisal of Research Proposals 434
Nurses’ Expertise in Critical Appraisal of Research 434
Critical Appraisal Process for Quantitative Research 435
Step I: Identifying the Steps of the Quantitative Research Process in Studies 436
Guidelines for Identifying the Steps of the Quantitative Research Process 436
Step II: Determining Study Strengths and Weaknesses 439
Guidelines for Determining Study Strengths and Weaknesses 440
Step III: Evaluating a Study 443
Guidelines for Evaluating a Study 443
Critical Appraisal Process for Qualitative Studies 443
Prerequisites for Critical Appraisal of Qualitative Studies 443
Step I: Identifying the Steps of the Qualitative Research Process in Studies 444
Guidelines for Identifying the Steps of the Qualitative Research Process 444
Step 2: Determining the Strengths and Weaknesses of the Study 446
Guidelines for Determining the Strengths and Weaknesses of Qualitative Studies 446
Step 3: Evaluating a Study 447
Guidelines for Evaluating a Qualitative Study 448
Key Points 449
References 450
19 Evidence Synthesis and Strategies for Implementing Evidence-Based Practice 453
Benefits and Barriers Related to Evidence-Based Nursing Practice 453
Benefits of Evidence-Based Practice in Nursing 454
Barriers of Evidence-Based Practice in Nursing 454
Guidelines for Synthesizing Research Evidence 455
Guideline for Implementing and Evaluating Systematic Reviews 456
Step 1: Title of the Literature Synthesis 456
Step 2: Abstract 456
Step 3: Introduction of Rationale, Clinical Question, and Protocol to Direct the Review 456
Step 4: Eligibility Criteria 460
Step 5: Information Sources 460
Step 6: Comprehensive Search of the Research Literature 461
Step 7: Selection of Studies for Review 461
Step 8: Critical Appraisal of the Studies Included in the Review 463
Step 9: Results of the Review 464
Populations and settings. 464
Interventions in studies. 464
Outcomes of the studies. 466
Step 10: Conduct a Meta-Analysis if Appropriate 466
Step 11: Discussion Section of the Review 466
Step 12: Development of the Final Report for Publication 467
Critical Appraisal of a Published Systematic Review 467
Conducting Meta-Analyses to Synthesize Research Evidence 469
Clinical Question for Meta-Analysis 470
Purpose and Questions to Direct Meta-Analysis 470
Search Criteria and Strategies for Meta-Analyses 470
Possible Biases for Meta-Analyses and Systematic Reviews 470
Results of Meta-Analysis for Continuous Outcomes 472
Results of Meta-Analysis for Dichotomous Outcomes 473
Conducting Meta-Synthesis of Qualitative Research 475
Framing a Meta-Synthesis Exercise 476
Searching the Literature and Selecting Sources 477
Appraisal of Studies and Analysis of Data 477
Discussion of Meta-Synthesis Findings 478
Mixed-Methods Systematic Reviews 479
Purpose and Questions to Focus Review 480
Search Methods and Results 480
Results of the Review 480
Models to Promote Evidence-Based Practice in Nursing 480
Stetler Model of Research Utilization to Facilitate Evidence-Based Practice 480
Phase I: Preparation 482
Phase II: Validation 482
Phase III: Comparative Evaluation and Decision-Making 482
Phase IV: Translation and Application 482
Phase V: Evaluation 483
Iowa Model of Evidence-Based Practice 483
Implementing Evidence-Based Guidelines in Practice 483
Development of Evidence-Based Guidelines 483
Implementing the Eighth Joint National Committee Evidence-Based Guidelines for the Management of High Blood Pressure in Adults 486
Authors of the Guidelines 486
Significance of Healthcare Problem 486
Strength of Research Evidence 486
Link to National Standards and Cost-Effectiveness of Evidence-Based Guideline 487
Implementation of the Evidence-Based Guideline in Practice 488
Evidence-Based Practice Centers 488
Introduction to Translational Research 489
Key Points 489
References 490
Unit Four Collecting and Analyzing Data, Determining Outcomes, and Disseminating Research 493
20 Collecting and Managing Data 493
Study Protocol 493
Factors Influencing Data Collection 494
Cost Factors 494
Size of Research Team 495
Time Factors 495
Selection of Instruments 495
Methods of Data Collection 496
Researcher-Administered and Participant-Completed Instruments 496
Scannable Forms 496
Online Data Collection 496
Digital Devices for Electronic Data Collection 498
Development of a Demographic Questionnaire 499
Selecting Demographic Variables 500
Developing Response Options for Demographic Questions 500
Preparation for Data Entry 501
Formatting and Compiling the Instruments 501
Developing a Codebook 502
Determining the Logistics of Data Entry 503
Creating Rules for Data Entry 504
Preparation for Data Collection 505
Creating a Data Collection Plan 505
Scheduling Data Collection 506
Training Data Collectors 506
Identifying Decision Points 508
Pilot Study 508
Role of the Researcher During the Study 508
Maintaining Controls and Consistency 508
Data Entry Period 509
Managing Data 509
Storage and Retrieval of Data 509
Problem Solving 510
People Problems 510
Problems recruiting a sample. 510
Subject attrition. 511
Subject as an object. 511
External influences on subject responses. 512
Passive resistance. 512
Researcher Problems 513
Researcher interactions. 513
Lack of skill in data collection techniques. 513
Researcher role conflict. 513
Maintaining perspective. 514
Institutional Problems 514
Event Problems 515
Research/Researcher Support 515
Support of Academic Committees 515
Institutional Support 515
Colleague Support 515
Data Safety and Monitoring Board as Source of Support 516
Serendipity 516
Key Points 516
References 517
21 Introduction to Statistical Analysis 519
Concepts of Statistical Theory 519
Probability Theory 520
Classical Hypothesis Testing 520
Type I and Type II Errors 521
Statistical Power 521
Statistical Significance Versus Clinical Importance 522
Inference 522
Samples and Populations 522
Types of Statistics 523
Descriptive Statistics 523
Measures of Central Tendency 523
Normal Curve 523
Sampling Distributions 524
Symmetry 525
Skewness 525
Modality 525
Kurtosis 526
Tests of Normality 526
Variation 526
Confidence Intervals 526
Inferential Statistics 527
Parametric Statistics 527
Nonparametric Statistics 527
Practical Aspects of Statistical Analysis 527
Preparing the Data for Analysis 528
Cleaning the Data 528
Identifying Missing Data 528
Data Transformations 528
Data Calculations and Scoring 528
Data Storage and Documentation 528
Description of the Sample 529
Testing the Reliability of Measurement Methods 529
Exploratory Analysis of the Data 529
Using Tables and Graphs for Exploratory Analysis 530
Confirmatory Analysis 530
Post Hoc Analysis 530
Choosing Appropriate Statistical Procedures for a Study 530
Examples 531
Key Points 533
References 533
22 Using Statistics to Describe Variables 535
Using Statistics to Summarize Data 535
Frequency Distributions 535
Measures of Central Tendency 537
Mode 537
Median 537
Mean 538
Using Statistics to Explore Deviations in the Data 539
Measures of Dispersion 539
Range 539
Difference Scores 539
Variance 540
Standard Deviation 540
Normal Curve 540
Sampling Error 542
Confidence Intervals 543
Degrees of Freedom 544
Key Points 544
References 544
23 Using Statistics to Examine Relationships 545
Scatter Diagrams 545
Bivariate Correlational Analysis 545
Pearson Product-Moment Correlation Coefficient 546
Calculation 547
Interpretation of Results 548
Effect Size 550
Nonparametric Alternatives 550
Role of Correlation in Understanding Causality 550
Spurious Correlations 550
Bland and Altman Plots 551
Example 551
Interpretation of Results 552
Factor Analysis 552
Example 552
“Naming” the Factor 553
Factor Scores 553
Key Points 554
References 554
24 Using Statistics to Predict 556
Simple Linear Regression 556
Formulas 557
Calculation of Simple Linear Regression 558
Calculation Steps 558
Interpretation of Results 560
Multiple Regression 560
Multicollinearity 561
Types of Predictor Variables Used in Regression Analyses 561
Dummy Variables 561
Odds Ratio 561
Statistical Formula and Assumptions 562
Calculation of Odds Ratio 562
Calculation Steps 562
Logistic Regression 563
Calculation of Logistic Regression 564
Odds Ratio (OR) in Logistic Regression 564
Cox Proportional Hazards Regression 564
Key Points 566
References 566
25 Using Statistics to Determine Differences 567
Choosing Parametric Versus Nonparametric Statistics to Determine Differences 567
t-Tests 567
t-Test for Independent Samples 568
Calculation 568
Interpretation of Results 570
Nonparametric Alternative 570
t-Tests for Paired Samples 570
Calculation 570
Interpretation of Results 571
Nonparametric Alternative 571
One-Way Analysis of Variance 572
Calculation 572
Interpretation of Results 573
Nonparametric Alternative 574
Other ANOVA Procedures 574
Pearson Chi-Square Test 574
Assumptions 574
Calculation 575
Interpretation of Results 576
Key Points 576
References 576
26 Interpreting Research Outcomes 578
Example Study 578
Identification of Study Findings 579
Data Analysis Results for Hypotheses 580
Significant and Predicted Results 580
Nonsignificant Results 580
Significant and Not Predicted Results 581
Mixed Results 581
Serendipitous Results 582
Comparison With the Literature 583
Identification of Limitations Through Examination of Design Validity 583
Construct Validity Limitations 583
Problems With Study Implementation 585
Internal Validity Limitations 585
External Validity Limitations 585
Statistical Conclusion Validity Limitations 586
Generalizing the Findings 587
Considering Implications for Practice, Theory, and Knowledge 588
Suggesting Further Research 589
Forming Final Conclusions 590
Key Points 590
References 591
27 Disseminating Research Findings 593
Components of a Research Report 593
Title 594
Abstract 595
Introduction 595
Review of Literature 595
Framework 596
Methods 596
Design 596
Sample and Setting 596
Data Collection Process and Procedures 597
Analysis Plan 597
Results 597
Discussion 597
Reference Citations 597
Types of Research Reports 598
Quantitative Research Reports 598
Presentation of Results in Figures and Tables 599
Figures. 600
Tables. 602
Qualitative Research Report 604
Theses and Dissertations 606
Audiences for Communication of Research Findings 606
Nurses and Other Healthcare Professionals 606
Policymakers 606
Consumers 606
Strategies for Presentation and Publication of Research Findings 607
Conferences 607
The Abstract Submission Process 607
Podium Presentation Research Findings 608
Developing an oral research presentation. 608
Delivering a research report and responding to questions. 609
Poster Presentation of Research Findings 610
Publishing Research Findings 611
Journals 612
Selecting a journal. 612
Journal impact factor. 613
Developing a query letter. 613
Preparing a manuscript. 613
Submitting a manuscript for review. 614
Peer review. 614
Responding to requests to revise a manuscript. 615
Online Journals 615
Books 616
Errors to Avoid 616
Key Points 617
References 617
Unit Five Proposing and Seeking Funding for Research 620
28 Writing Research Proposals 620
Writing a Research Proposal 620
Developing Ideas Logically 620
Determining the Depth of a Proposal 621
Identifying Critical Points 621
Developing an Aesthetically Appealing Copy 621
Types of Research Proposals 621
Student Proposals 621
Condensed Proposals 622
Letters of Intent or Preproposals 622
Contents of Student Proposals 622
Content of a Quantitative Research Proposal 623
Chapter 1: Introduction 623
Chapter 2: Review of Relevant Literature 623
Chapter 3: Framework 623
Chapter 4: Methods and Procedures 625
Content of a Qualitative Research Proposal 626
Chapter 1: Introduction and Background 627
Chapter 2: Review of Relevant Literature 627
Chapter 3: Philosophical Foundation for the Selected Method 627
Chapter 4: Method of Inquiry 629
Seeking Approval for a Study 630
Approval Process 631
Preparing Proposals for Review Committees 631
Social and Political Factors 632
Verbal Presentation of a Proposal 632
Revising a Proposal 633
Example Quantitative Research Proposal 633
Key Points 646
References 647
29 Seeking Funding for Research 649
Building a Program of Research 649
Contribution 651
Capacity 651
Capital 651
Building Capital 652
Level of Commitment 652
Support of Other People 652
Grantsmanship 653
Attending Courses and Workshops 653
Experienced Researchers 653
Regional Nursing Research Organizations 653
Serving on Research Committees 653
Identifying Funding Sources 654
Types of Grants 654
Private or Local Funding 654
National Nursing Organizations 655
Industry 655
Foundations 655
Other Funders 656
Government Funding 656
Submitting a Proposal for a Federal Grant 657
Ensuring a Unique Proposal 657
Verifying Institutional Support 657
Making Time to Write 658
Understanding the Review Process 658
Responding to Rejected Grant Proposals 659
Grant Management 659
Managing the Budget 659
Training Research Personnel 659
Maintaining the Study Schedule 659
Coordinating Activities 660
Submitting Reports 660
Planning Your Next Grant 660
Key Points 660
References 660
Appendices 662
Appendix A z Values Table 662
Appendix B Critical Values for Student’s t Distribution 665
Appendix C Critical Values of r for Pearson Product Moment Correlation Coefficient 667
Appendix D Critical Values of F for α = 0.05 and α = 0.01 668
Appendix E Critical Values of the χ2 Distribution 670
Glossary 671
A 671
B 672
C 672
D 675
E 677
F 678
G 679
H 679
I 680
J 682
K 682
L 682
M 682
N 684
O 685
P 686
Q 689
R 689
S 691
T 694
U 695
V 695
W 696
Y 696
Z 696
Index 697
A 697
B 697
C 698
D 700
E 701
F 702
G 703
H 703
I 704
J 705
K 705
L 705
M 706
N 707
O 708
P 709
Q 710
R 712
S 714
T 717
U 718
V 718
W 718
Y 718
Z 718
Inside Back Cover ibc1