Lessons 11-15: Qualitative Trustworthiness and Descriptive/Inferential Statistics

Flashcards driven by the lecture notes on qualitative trustworthiness and descriptive/inferential statistics in nursing research.

What is trustworthiness in qualitative nursing research?

The degree to which findings are shaped by the respondents’ data rather than researcher bias, similar to objectivity in quantitative research.

Name the four components of trustworthiness in qualitative research.

Credibility, transferability, dependability, and confirmability.

Which strategies help ensure confirmability in qualitative studies?

Audit trails, reflexive journaling, and triangulation.

Which three strategies are commonly used to enhance trustworthiness in qualitative research?

Triangulation, member checking, and reflexivity.

What is Descriptive Statistics in nursing research used for?

To summarize and organize data using measures such as mean, median, mode, and standard deviation, providing a data snapshot.

What are common measures of central tendency?

Mean, median, and mode.

What are common measures of variability?

Range, variance, and standard deviation.

What are Inferential Statistics?

Methods that enable making predictions or inferences about a population from a sample of data.

List key inferential techniques used in nursing research?

Hypothesis testing, regression analysis, confidence intervals, and ANOVA (Analysis of Variance).

What is Descriptive Statistics in nursing research as a concept?

Methods for summarizing and presenting data to make it understandable.

Give examples of inferential techniques used in nursing case studies.

Using t-tests to compare two treatment groups and regression analysis to identify risk factors (e.g., readmissions).

What are best practices for data quality and reporting in nursing research?

Rigorous data cleaning, validation, and clear reporting with appropriate tables and charts to aid interpretation.

Why are descriptive statistics important for nursing research and patient care?

They provide a clear understanding of data distribution, informing interpretation and decision-making to improve care.

What does data preparation for inferential analysis involve?

Cleaning, organizing, transforming raw data; handling missing data; coding variables; ensuring data accuracy and consistency.

What is qualitative data in research focused on?

Collecting and analyzing non-numerical data to explore underlying motivations, perceptions, and behaviors of individuals.

What is quantitative data in research focused on?

Collecting and analyzing numerical data to measure variables, assess relationships, and test hypotheses.

What is the role of Inferential Statistics in nursing policy and decision making?

They generalize findings from samples to larger populations, supporting evidence-based practice and policy development.

How do descriptive and inferential statistics relate to nursing practice?

Descriptive statistics summarize current data; inferential statistics allow generalization to populations to inform decisions and policy.

What is emphasized as Best Practices in data reporting in the notes?

Clear reporting and data quality to facilitate accurate interpretation.

What is the educational value of using t-tests in case studies mentioned in the notes?

To compare means between two groups and assess the effectiveness of treatments.