Introduction to Nursing Research: Incorporating Evidence-Based Practice
Carol Boswell,Sharon Cannon
FIFTH EDITION
About this book
Introduction to Nursing Research: Incorporating Evidence-Based Practice, Fifth Edition fosters comprehension through various strategies that address the learning essentials of students while also creating interest in the topic. This collaborative approach converges distinctive learning styles, making this the critical text to ensure mastery of strategic concepts. The pedagogical aids that appear in most chapters incorporate the following:
- Objectives
- Key Terms
- Summary Points
- Red Flags
Questions & Answers from this book
Questions and answers are connected to the referenced book and its available source material.
Chapter 1: Connection Between Research and Evidence-Based Practice
According to Brockopp and Hastings-Tolsma, what is the responsibility of professional nurses regarding evidence-based practice?
Brockopp and Hastings-Tolsma state that professional nurses have the responsibility to participate in promoting evidence-based practice. This expectation is both societal and professional, requiring nurses to continuously explore new evidence and incorporate it into their practice.
What are the three major categories of obstacles that deter nurses from incorporating research into their practice?
The three major categories of obstacles that deter nurses from incorporating research into their practice are education, beliefs/attitudes, and support/resources.
Chapter 7: Literature Review: Searching and Writing the Evidence
How do proponents of evidence-based practice (EBP) and research differ in their definitions according to the chapter?
Proponents of research argue that evidence-based practice (EBP) is institution-specific, lacks a theoretical framework, and its data cannot be statistically tested. In contrast, proponents of EBP claim it is broader, includes research when appropriate, and can compile data from specific institutions into national databases for broader implications.
What are the main ethical issues related to publication in nursing research as discussed in the chapter?
The main ethical issues related to publication in nursing research include pressure on authors to alter results, duplicate publication, author misconduct, and discrepancies in peer review quality.
Chapter 9: Qualitative and Mixed Research Methods
What are the key components of a study that should be reviewed during the evaluation process according to the chapter?
The key components of a study that should be reviewed during the evaluation process include the study's purpose, sample size and selection, study design (methods used), data collection procedures, data analysis, and the author's conclusions. Additionally, the theoretical framework, if included, should be reviewed as it provides structure for the study and its results.
What are the key components to include in an outline for writing a literature review according to the chapter?
The key components of an outline for writing a literature review include the purpose of the review, description of the search strategy, themes or categories of articles, limitations, gaps in the literature, and a discussion and conclusion.
Chapter 12: Reliability, Validity, and Trustworthiness
How is the reliability coefficient calculated and what does a coefficient greater than 0.80 indicate?
The reliability coefficient is calculated as the proportion of observed score variance that consists of true score variance. A reliability coefficient greater than 0.80 indicates high reliability, meaning that a significant portion of the observed score variance is due to true score variance rather than error.
How does adding items to a questionnaire affect its internal consistency according to the Spearman–Brown prophecy formula?
Adding items to a questionnaire generally increases its internal consistency. The Spearman–Brown prophecy formula is used to estimate the new reliability coefficient after adding items, showing that more items can improve reliability and strengthen the interpretation of results.
Chapter 13: Data Analysis
What are the four measurement scales used in quantitative analysis as described in the chapter?
The four measurement scales used in quantitative analysis are nominal, ordinal, interval, and ratio.
How does the ordinal scale differ from the nominal scale in terms of measurement precision?
The ordinal scale differs from the nominal scale in that it incorporates order or ranking, making it more precise than the nominal scale, which is used only for categorization without any order.
Chapter 14: The Research Critique Process and the Evidence-Based Appraisal Process
How does the presence of outliers affect the range of a data set as discussed in the chapter?
The presence of outliers significantly affects the range of a data set by increasing it. A single outlier can cause the range to expand dramatically, which can lead to misleading interpretations of the data's variability.
How can statistics be utilized in evidence-based practice according to the chapter?
Statistics in evidence-based practice are used to analyze data through measures like mean, median, mode, range, and standard deviation. These statistical tools help in understanding data distribution and variability, which are crucial for making informed decisions in practice.
Chapter 15: Translational Research, Improvement Science, and Evaluation Research with Practical Applications
Chapter 16: Application of Evidence-Based Nursing Practice with Research
What are the two specific elements expected from measuring healthcare quality according to the chapter?
The two specific elements expected from measuring healthcare quality are assessing the effects of healthcare services on improved health status and evaluating the adherence of these services to evidence-based practices and processes.
What are the advantages and disadvantages of using process measures in quality assurance as discussed in the chapter?
Process measures in quality assurance are advantageous because they are easily benchmarked, use accessible data, require smaller sample sizes, and provide clear feedback. However, they have disadvantages such as needing well-defined criteria for patient inclusion and being difficult to summarize due to lack of comprehensive data.
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