Chapter 8: Sampling Chapter 9: Reliability textbook: Ruth M. Tappen. (2015). Nursing Research. Advanced Nursing Research: From Theory to Practice. (2nd ed.). ISBN-13: 9781284048308. ISBN-10: 1284048306. Publisher: Jones & Bartlett Learning I am going to ask to please write about 2-3 paragraphs regarding the assigned readings. Plagiarism free. APA 7th ed. Please use the textbook as reference, and also provide plagiarism report. Due date: Tuesday 9th. @ 8:00am. Purchase the answer to view it
Chapter 8 of Ruth M. Tappen’s “Nursing Research: From Theory to Practice” explores the topic of sampling in research. Sampling refers to the process of selecting a subset of individuals or items from a larger population to represent that population in a study. In nursing research, sampling is crucial as it allows researchers to study a smaller, more manageable group while still being able to generalize the findings to the larger population.
The chapter discusses various sampling techniques, including probability sampling and non-probability sampling. Probability sampling involves randomly selecting participants from the population, ensuring that every individual has an equal chance of being included in the study. This method helps to minimize bias and increase the representativeness of the sample. On the other hand, non-probability sampling techniques do not involve random selection and rely more on the researcher’s judgment. These methods may be used when it is not feasible or practical to use probability sampling.
Tappen also delves into the concept of sample size, highlighting the importance of having an adequate sample size to ensure valid and reliable results. The chapter discusses factors that influence sample size determination and provides formulas and guidelines for calculating the required sample size based on factors such as the desired level of significance, effect size, and variability in the population.
Chapter 9 of the textbook focuses on the topic of reliability in nursing research. Reliability refers to the consistency and stability of measurement instruments or processes used in a study. In order to obtain trustworthy results, it is crucial for researchers to use reliable measures that produce consistent results over time and across different situations.
The chapter outlines various types of reliability, including test-retest reliability, inter-rater reliability, and internal consistency reliability. Test-retest reliability refers to the extent to which a measurement instrument yields consistent results when administered to the same participants on two different occasions. Inter-rater reliability, on the other hand, focuses on the agreement between different raters or observers when using the same measurement instrument. Internal consistency reliability assesses the degree to which items within a measurement instrument are consistent and highly correlated with each other.
Furthermore, the chapter discusses methods for evaluating reliability, such as the use of correlation coefficients and statistical tests. Tappen emphasizes the importance of conducting reliability studies to assess the consistency and stability of measurement instruments before using them in a research study. This is crucial in order to ensure that the results obtained from these instruments are reliable and can be trusted.
Overall, these chapters provide a comprehensive understanding of the concepts of sampling and reliability in nursing research. Tappen’s textbook is a valuable resource for nursing researchers as it not only explains these concepts but also provides practical guidance on how to apply these concepts in research studies. By incorporating these principles into their research design and data collection processes, nurses can strengthen the validity and reliability of their research findings.