Succeeding in your Doctorate in Nursing and Midwifery (Hardcover, 1)

1. Why do a doctorate? Nurses’ and midwives’ motivations for starting doctoral work and taking the first steps

2. From apprenticeships to doctorates

3. What is a PhD and where did it come from?and what about professional doctorates?

4. How to choose a topic for doctoral work

5. How to choose a method for doctoral work

6. Theory in doctoral work

7. When things go wrong: challenges in doctoral work and how to overcome them

8. After the doctorate?building a new career or changing an old one

Succeeding in your Doctorate in Nursing and Midwifery (Paperback, 1)

1. Why do a doctorate? Nurses’ and midwives’ motivations for starting doctoral work and taking the first steps

2. From apprenticeships to doctorates

3. What is a PhD and where did it come from?and what about professional doctorates?

4. How to choose a topic for doctoral work

5. How to choose a method for doctoral work

6. Theory in doctoral work

7. When things go wrong: challenges in doctoral work and how to overcome them

8. After the doctorate?building a new career or changing an old one

An Introduction to Statistical Concepts (Hardcover, 5 ed)

1. Introduction? 2. Data Visualization??3. Univariate Population Parameters and Sample Statistics??4. The Normal Distribution and Standard Scores??5. Introduction to Probability and Sample Statistics? 6. Introduction to Hypothesis Testing: Inferences About a Single Mean??7. Inferences About the Difference Between Two Independent Means? 8. Inferences About the Difference Between Two Dependent Means??9. Inferences About Proportions? 10. Inferences About Variances? 11. Bivariate Measures of Association??12. One-Factor Analysis of Variance ? Fixed-Effects Model??13. Multiple Comparison Procedures??14. Factorial Analysis of Variance ? Fixed-Effects Model??15. Random- and Mixed-Effects Analysis of Variance Models??16. Hierarchical and Randomized Block Analysis of Variance Models??17. Simple Linear Regression??18. Multiple Linear Regression??19. Introduction to Analysis of Covariance: The One-Factor Fixed-Effects Model with a Single Covariate??20. Logistic Regression??21. Mediation and Moderation

Advances in Qualitative Research for the Health and Social Sciences (Hardcover, 1)

1. Introduction 2. Metasynthesis 3. Secondary Qualitative Data Analysis 4. Qualitative Mixed-Method Designs 5. Qualitative Content Analysis 6. Qualitative Internet Research 7. Modification of Grounded Theory 8. Developing a Qualitative Research Program Incorporating These Advances in Qualitative Research

Advances in Qualitative Research for the Health and Social Sciences (Paperback, 1)

1. Introduction 2. Metasynthesis 3. Secondary Qualitative Data Analysis 4. Qualitative Mixed-Method Designs 5. Qualitative Content Analysis 6. Qualitative Internet Research 7. Modification of Grounded Theory 8. Developing a Qualitative Research Program Incorporating These Advances in Qualitative Research

Der Pflegefachberuf Und Die Digitalisierung: Perspektiven Der Ambulanten Versorgung (Paperback)

Responsible Research Conduct : What investigations into alleged research misconduct tell us about scientific integrity (Hardcover)

1. Introduction? 2. Metrics Mania: Citation Practices under spotlight in Salamanca? 3. Research misconduct investigation: Conflict of interest and confidentiality breach in Utah? 4. Responsible publication and research: Alleged editorial conflict of interest and disputed data in Ohio? 5. Post-publication clinical trial restoration: Lack of public editorial response in New England? 6. Spinout roller coaster: Technology transfer in Washington? 7. All that glitters may not be gold: Image manipulation and resignation in Stanford? 8. Alleged misconduct in charity-funded research: Breach of contract and an investigation in Portsmouth? 9. Authorial credit and accountability: Retraction and reported guest authorship in Amsterdam? 10. Institutional research culture: Alleged ethical failure and patient harm in Stockholm? 11. Copy-paste without citation: Allegations of plagiarism in a British journal? 12. Professional regulatory investigation: Alleged ethical concerns and conflict non-disclosure in London. Glossary. Suggested Reading.

Responsible Research Conduct : What investigations into alleged research misconduct tell us about scientific integrity (Paperback)

1. Introduction? 2. Metrics Mania: Citation Practices under spotlight in Salamanca? 3. Research misconduct investigation: Conflict of interest and confidentiality breach in Utah? 4. Responsible publication and research: Alleged editorial conflict of interest and disputed data in Ohio? 5. Post-publication clinical trial restoration: Lack of public editorial response in New England? 6. Spinout roller coaster: Technology transfer in Washington? 7. All that glitters may not be gold: Image manipulation and resignation in Stanford? 8. Alleged misconduct in charity-funded research: Breach of contract and an investigation in Portsmouth? 9. Authorial credit and accountability: Retraction and reported guest authorship in Amsterdam? 10. Institutional research culture: Alleged ethical failure and patient harm in Stockholm? 11. Copy-paste without citation: Allegations of plagiarism in a British journal? 12. Professional regulatory investigation: Alleged ethical concerns and conflict non-disclosure in London. Glossary. Suggested Reading.

Transformative Community Health Nursing: Open Governance and Disaster Resilience in the Digital Age (Paperback)

KI in Der Pflege: Potenziale, Herausforderungen Und Praxisperspektiven (Paperback)

Qualitative Research Methods for Medicine and Health Sciences (Hardcover, 1)

Part 1. Knowing human life, health and illness, 1. A rich and diverse knowledge base for practice and inquiry, 2. Unpacking assumptions underpinning qualitative methods, 3. Rigour with a human face, 4. What makes research qualitative, and why it matters, 5. You are the interpreter ? your most powerful research instrument, Part 2. Traversing the research process, 6. Planning, flexibility and field notes along the path, 7. Sampling guided by information power ? advancing transferability, 8. Data creation interacting with various sources of knowledge, 9. Transcription ? capturing voices, not just words, 10. "Analysis?the creative art of rigourous reflection????? ", 11. "From complexity to knowing?systematic text condensation", 12. "What counts as a result?and what does not?", 13. Writing your study?the craft and the joy, Part 3. "On different forms of design and data", 14. Dialogue across designs ? understanding experiences, 15. Beyond conversation?narratives, unique cases and digital traces, 16. Observation as situated research practice, 17. Critical and committed inquiry in action, 18. "Metasynthesis?surfacing prior evidence and creating new knowing", 19. Between tacit knowing and research evidence, Part 4. Theoretical and methodological questions revisited, 20. "Theory situates interpretation, focus and abstraction", 21. "Validation revisited?soundness and scope of understanding", 22. Combining methods?sustaining philosophical coherence?, 23. "Artificial intelligence? friend or foe in qualitative studies?", Part 5. In conclusion, 24. Dialogue and reflexivity rather than checklists for rigour?, 25. "Recognising vulnerability as ethical responsibility", 26. Negotiating paradigms in the face of medical research traditions

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Qualitative Research Methods for Medicine and Health Sciences (Paperback, 1)

Part 1. Knowing human life, health and illness, 1. A rich and diverse knowledge base for practice and inquiry, 2. Unpacking assumptions underpinning qualitative methods, 3. Rigour with a human face, 4. What makes research qualitative, and why it matters, 5. You are the interpreter ? your most powerful research instrument, Part 2. Traversing the research process, 6. Planning, flexibility and field notes along the path, 7. Sampling guided by information power ? advancing transferability, 8. Data creation interacting with various sources of knowledge, 9. Transcription ? capturing voices, not just words, 10. "Analysis?the creative art of rigourous reflection????? ", 11. "From complexity to knowing?systematic text condensation", 12. "What counts as a result?and what does not?", 13. Writing your study?the craft and the joy, Part 3. "On different forms of design and data", 14. Dialogue across designs ? understanding experiences, 15. Beyond conversation?narratives, unique cases and digital traces, 16. Observation as situated research practice, 17. Critical and committed inquiry in action, 18. "Metasynthesis?surfacing prior evidence and creating new knowing", 19. Between tacit knowing and research evidence, Part 4. Theoretical and methodological questions revisited, 20. "Theory situates interpretation, focus and abstraction", 21. "Validation revisited?soundness and scope of understanding", 22. Combining methods?sustaining philosophical coherence?, 23. "Artificial intelligence? friend or foe in qualitative studies?", Part 5. In conclusion, 24. Dialogue and reflexivity rather than checklists for rigour?, 25. "Recognising vulnerability as ethical responsibility", 26. Negotiating paradigms in the face of medical research traditions

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Assessment & Treatment of ADHD: A Practical Guide for Nurse Practitioners (Paperback)

Building Bridges: A European Perspective on Interprofessional Education, Practice, Policy and Research (Paperback)

Routledge Handbook of Nursing Ethics (Hardcover, 1)

Theme 1: History and development of nursing ethics , 1. Introducing nursing ethics, 2. Nursing Ethics. An Unprincipled Ethics, 3. Care ethics, .4.Cross-Cultural Ethics and Emerging Technologies in Nursing Practice, 5.? Indigenous Nursing Ethics: Rooted in Relationality, Theme 2: Empirical methodologies in nursing, 6. Integrating empirical methods and normative analysis: Nursing ethics research and the co-production of ethical arguments, 7.From an ethical concept to measurement, 8. Contribution of qualitative research to ethics of care, 9. Literature reviews and their contribution on knowledge development in nursing ethics, 10. ‘Consensus’ Approaches in Nursing Ethics Decision-Making, 11. Document analysis and nursing ethics,12. How hermeneutic phenomenology supports research in ethics, 13. Nurses and the Ethical Conduct of Research: Principles, Advocacy, and Conflicting Loyalties?? , Theme 3: Ethical challenges in nursing practice, 14. Ethical Dilemmas as Challenges to the Moral Agency of Nurses, 15. Revisiting Moral Distress: A Brief History and Current Debates?????????? , 16. Moral Injury in a Healthcare Context: Conceptualization and Measurement, 17. Rethinking Compassion in Nursing Care, 18. Moralism and Nursing, 19. Rationing of care and missed nursing care: The ethical dimension, the challenges and dilemmas, 20.When Professional Conduct Fails: Identifying and Addressing Unethical Conduct by Nurses , 21. Moral Repair: Challenging Structural and Epistemic Injustice in Nursing, Theme 4: Strategies and responses to ethical challenges in care, 22. Ethical competence ? a global perspective, 23. Moral resilience: A protective resource to address moral suffering , 24. Learning what it is like to be the other: Experiential tools of sTimul: care ethics lab, 25. Creating and managing an ethical climate: A strategy for responding to ethical challenges in the healthcare environment, 26. Moral Community: Promoting Collaboration and Mitigating Distress????? , 27. Spi...


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KI in Der Qualitativen Forschung: Von Der Studienplanung Bis Zur Datenauswertung (Paperback)

Theoretical Basis for Nursing (Paperback, 7)

Designing Experiments and Analyzing Data : A Model Comparison Perspective (Paperback, 4 ed)

Preface Part?I Conceptual Bases of Experimental Design and Analysis 1. The Logic of Experimental Design and Analysis 2.?Drawing Valid Inferences From Experiments Part?II Model Comparisons for Between-Subjects Designs 3.?Introduction to Model Comparisons: One-Way Between-Subjects Designs 4.?Individual Comparisons of Means 5.?Testing Several Contrasts: The Multiple-Comparisons Problem 6.?Trend Analysis 7.?Two-Way Between-Subjects Factorial Designs 8.?Higher-Order Between-Subjects Factorial Designs 9.?DesignsWith Covariates: ANOVA and Blocking 10.?Designs with Random or Nested Factors Part?III Model Comparisons for Designs Involving Within-Subjects Factors 11.?One-WayWithin-Subjects Designs: Univariate Approach 12.?Higher-Order Designs with Within-Subjects Factors: Univariate Approach 13.?One-WayWithin-Subjects Designs: Multivariate Approach 14.?Higher Order Designs WithWithin-Subjects Factors: The Multivariate Approach Part?IV Mixed-Effects Models 15.?An Introduction to Mixed-Effects Models: Within-Subjects Designs 16.?An Introduction to Mixed-Effect Models: Nested Designs Statistical Tables

Designing Experiments and Analyzing Data : A Model Comparison Perspective (Hardcover, 4 ed)

Preface Part?I Conceptual Bases of Experimental Design and Analysis 1. The Logic of Experimental Design and Analysis 2.?Drawing Valid Inferences From Experiments Part?II Model Comparisons for Between-Subjects Designs 3.?Introduction to Model Comparisons: One-Way Between-Subjects Designs 4.?Individual Comparisons of Means 5.?Testing Several Contrasts: The Multiple-Comparisons Problem 6.?Trend Analysis 7.?Two-Way Between-Subjects Factorial Designs 8.?Higher-Order Between-Subjects Factorial Designs 9.?DesignsWith Covariates: ANOVA and Blocking 10.?Designs with Random or Nested Factors Part?III Model Comparisons for Designs Involving Within-Subjects Factors 11.?One-WayWithin-Subjects Designs: Univariate Approach 12.?Higher-Order Designs with Within-Subjects Factors: Univariate Approach 13.?One-WayWithin-Subjects Designs: Multivariate Approach 14.?Higher Order Designs WithWithin-Subjects Factors: The Multivariate Approach Part?IV Mixed-Effects Models 15.?An Introduction to Mixed-Effects Models: Within-Subjects Designs 16.?An Introduction to Mixed-Effect Models: Nested Designs Statistical Tables

Monte Carlo Simulation Power Analysis Using Mplus and R (Paperback, 1)

I. Cross-Sectional Power Analyses
1. Introduction
- Statement of the Problem: Statistical Power in the Empirical Literature
- What Does This Mean?
- Why Monte Carlo Simulation Power Analyses?
- Software to Conduct Power Analyses
- Why Use the Approach Shown in This Book?
- Proof of Concept: Why and How the Assumption of Standardization Simplifies
- A Relationship Research Question Power Analysis
- Mplus Monte Carlo Power Analysis: Bivariate Regression
- R Monte Carlo Power Analysis: Bivariate Regression using lavaan and simsem
- A Comparison Research Question Power Analysis
- Mplus Monte Carlo Power Analysis: Two-Group Comparison
- R Monte Carlo Power Analysis: Two-Group Comparison
- Conclusion
- Suggested Readings & Resources
- Appendix 1.1: Chapter Addendum: The Fundamentals
2. A Multivariate, Two-Group, Pretest-Posttest Power Analysis
- Mplus Monte Carlo Power Analysis: Multivariate Two-Group Comparison
- R Monte Carlo Power Analysis: Multivariate Two-Group Comparison
- Simulation Power Analysis Write-Up: Multivariate Two-Group Comparison
- Suggested Readings
3. Path Analysis
- Mplus Monte Carlo Power Analysis: Mediated Path Analysis
- R Monte Carlo Power Analysis: Mediated Path Analysis
- Simulation Power Analysis Write-Up: Mediated Path Analysis
- Suggested Readings
4. Structural Equation Model
- Measurement Model: CFA
- SEM: Predictive Relationships Among CFA Models
- R Code for SEM Model-Reproduced Correlation Matrix
- Mplus Monte Carlo Power Analysis: SEM
- R Monte Carlo Power Analysis: SEM
- Impacts of Unreliability on SEM Power Estimates
- Mplus Syntax for Lower Reliability SEM Power Analysis
- R Syntax for Lower Reliability SEM Power Analysis
- Simulation Power Analysis Write-Up: SEM
- Suggested Readings
5. Logistic Regression
- The Logistical Foundation: Probabilities, Odds and Log Odds (Logits)
- Logistic Regression Power Ana...


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Wound Care Research: Principles and Practice (Paperback)