🩹Professionalism and Research in Nursing Unit 8 – Research Methods: Quantitative & Qualitative
Research methods in nursing encompass quantitative and qualitative approaches. Quantitative research uses numerical data and statistical analysis to test hypotheses, while qualitative research explores subjective experiences through non-numerical data like interviews and observations.
Key concepts include variables, sampling, and research designs. Experimental studies manipulate variables to observe effects, while non-experimental research describes phenomena. Ethical considerations, data analysis techniques, and application to evidence-based practice are crucial aspects of nursing research.
Research involves systematic investigation to establish facts, solve problems, or advance knowledge in a particular field
Quantitative research focuses on numerical data, statistical analysis, and objective measurements to test hypotheses and draw conclusions
Qualitative research explores subjective experiences, perceptions, and meanings through non-numerical data (interviews, observations)
Variables are characteristics or attributes that can be measured or manipulated in a study
Independent variables are manipulated by the researcher to observe their effect on the dependent variable
Dependent variables change in response to the manipulation of the independent variable
Hypotheses are testable predictions about the relationship between variables in a study
Sampling refers to the process of selecting a subset of a population to represent the entire group in a study
Probability sampling uses random selection, giving each member of the population an equal chance of being included (simple random sampling, stratified random sampling)
Non-probability sampling does not involve random selection and may be based on convenience, purposive selection, or other criteria (convenience sampling, snowball sampling)
Types of Research Methods
Experimental research involves manipulating one or more independent variables to observe their effect on a dependent variable while controlling for other factors
Randomized controlled trials (RCTs) are considered the gold standard for experimental research in healthcare
Non-experimental research does not involve the manipulation of variables and focuses on observing and describing phenomena
Descriptive research aims to systematically describe characteristics of a population or phenomenon (surveys, case studies)
Correlational research investigates the relationship between two or more variables without implying causation
Mixed-methods research combines both quantitative and qualitative approaches to provide a more comprehensive understanding of a research problem
Longitudinal research involves collecting data from the same participants over an extended period to observe changes or patterns over time
Cross-sectional research collects data from participants at a single point in time to provide a snapshot of a population or phenomenon
Quantitative Research Techniques
Surveys and questionnaires are structured instruments used to collect data from a large sample of participants
Likert scales are commonly used in surveys to measure attitudes or opinions on a continuum (strongly agree to strongly disagree)
Experiments involve manipulating an independent variable to observe its effect on a dependent variable while controlling for other factors
Control groups do not receive the intervention or treatment being tested, serving as a baseline for comparison
Experimental groups receive the intervention or treatment being tested
Quasi-experiments are similar to experiments but lack random assignment of participants to groups
Observational studies involve collecting data through direct observation of participants without manipulating variables
Meta-analyses combine and analyze data from multiple studies to provide a more comprehensive and robust understanding of a research question
Qualitative Research Approaches
Phenomenology explores the lived experiences and subjective perceptions of individuals regarding a particular phenomenon
Grounded theory aims to develop a theory based on the systematic analysis of qualitative data
Constant comparative method involves continuously comparing new data with existing categories to refine the emerging theory
Ethnography involves immersing oneself in a particular culture or community to gain an in-depth understanding of their beliefs, behaviors, and experiences
Case studies provide a detailed examination of a single case or a small number of cases to gain insights into a particular phenomenon
Narrative research focuses on the stories and narratives of individuals to understand their experiences and the meanings they assign to them
Data Collection Strategies
Interviews are one-on-one conversations between a researcher and a participant to gather in-depth information about their experiences, perceptions, or opinions
Structured interviews follow a predetermined set of questions asked in a specific order
Semi-structured interviews have a general guide but allow for flexibility in the order and phrasing of questions
Unstructured interviews are more conversational and allow the participant to guide the direction of the discussion
Focus groups involve a small group of participants discussing a specific topic or issue, guided by a moderator
Observations involve the researcher systematically watching and recording behaviors, interactions, or events in a natural setting
Document analysis involves examining existing documents (medical records, policies, or personal journals) to gather data relevant to the research question
Field notes are detailed records of observations, conversations, and reflections made by the researcher during data collection
Analyzing and Interpreting Data
Quantitative data analysis involves using statistical methods to summarize, describe, and draw conclusions from numerical data
Descriptive statistics summarize and describe the main features of a dataset (mean, median, mode, standard deviation)
Inferential statistics use sample data to make generalizations or predictions about a larger population (t-tests, ANOVA, regression analysis)
Qualitative data analysis involves organizing, interpreting, and drawing insights from non-numerical data
Thematic analysis identifies patterns or themes within the data and organizes them into categories
Content analysis systematically codes and quantifies the presence of certain words, themes, or concepts within the data
Triangulation involves using multiple data sources, methods, or researchers to enhance the credibility and validity of the findings
Member checking involves sharing the researcher's interpretations with participants to ensure accuracy and credibility
Reflexivity requires researchers to acknowledge and critically examine their own biases, assumptions, and influence on the research process
Ethical Considerations in Nursing Research
Informed consent ensures that participants are fully informed about the purpose, risks, and benefits of the study and voluntarily agree to participate
Capacity to consent refers to the participant's ability to understand the information provided and make an informed decision
Confidentiality involves protecting participants' identities and ensuring that their data cannot be linked to them
Anonymity goes a step further by ensuring that even the researcher cannot link the data to specific participants
Beneficence requires researchers to maximize the potential benefits of the study while minimizing harm to participants
Non-maleficence obligates researchers to avoid causing harm or injury to participants
Justice ensures that the benefits and burdens of the research are distributed fairly among participants and that no group is unfairly excluded or exploited
Applying Research to Nursing Practice
Evidence-based practice (EBP) integrates the best available research evidence with clinical expertise and patient values to guide healthcare decision-making
Translational research aims to "translate" basic scientific findings into practical applications that improve patient care and outcomes
Quality improvement (QI) initiatives use research findings to identify areas for improvement in healthcare processes and implement changes to enhance patient care
Clinical practice guidelines (CPGs) are evidence-based recommendations that provide guidance on the appropriate treatment and management of specific health conditions
Dissemination involves sharing research findings with a wider audience (healthcare professionals, policymakers, or the general public) through publications, presentations, or other means
Implementation science focuses on understanding and addressing the barriers to the adoption and integration of research findings into routine healthcare practice