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Quantitative research designs include
A plan or blueprint
-Vehicle for systematically treating research questions and hypothesis
-Structure for maintaining control in the study
Control
Measures used to provide consistency and avoid bias or errors
Objectivity
The practice of maintaining impartiality and neutrality in research, ensuring that findings are based on observable phenomena and not influenced by personal feelings or opinions
-Derived from a review of literature and development of a theoretical framework
Accuracy
Aided by a thoughtful theoretical framework and literature review
-All aspects of a study systematically and logically follow from the the research question or hypothesis
Intervention fidelity
Interventions standardized and administered to each subject in the same manner under the same conditions
Constancy
Should reflect a step-by-step process of how the researcher controlled the conditions for collecting data
-Environmental conditions, timing of data collection, etc .
Nursing Theory Defined
Provide a foundation for clinical decision-making
-Shape nursing research and create conceptual blueprints, ultimately determining the how and why that drive nurse-patient interactions
-Allows relationships to be proposed and predictions made which in turn can suggest potential actions
-Gives a researcher a logical way of collecting data to describe, explain, and predict nursing practice
Florence Nightingale’s Environmental Theory
Identified a clear link between a patient’s environment (such as clean water sunlight, and fresh air) and their ability to recover
-Remain relevant for today’s practitioners
Types of nursing theories
-Grand: Broad, abstract frameworks that provide a conceptual foundation for nursing practice / ed / research
-Middle: More specific: focused on a limited aspect of reality
-Situation-specific: composed of a limited number of concepts, addresses specific nursing phenomena within clearly defined populations / contexts
Independent variable
The variable you manipulate or vary in an experimental study to explore its effects
-It’s called “independent” because it’s not influenced by any other variables in the study
-Can be manipulated by doing things like administration of a program, treatment, or intervention to one group and not the others
Dependent variable
The variable that changes as a result of the independent variable manipulation
-The outcome you’re interested in measuring, and it “depends” on your independent variable
-Used to check whether and to what extend your IV influences dependent
Research question and purpose statements
Concise statements that outline the main focus of a study and what the researcher aims to accomplish
-They guide the research design and methodology, helping to clarify the objectives and scope of the investigation
Quantitative Aims
What the investigator hopes to achieve
-Suggests the level of evidence to be obtained
Hypothesis
Predicts the outcome of a study
-Flows from the research question, literature review, and theoretical framework
Nominal vs Ordinal levels of measurement
Nominal and ordinal levels refer to different types of data classification in research
-Nominal data are categorical without a specific order, while ordinal data have a defined order but not equal intervals between categories
Interval
Shows rankings of variables on a scale with equal intervals
Ratio
Shows ranking of variables on a scale with equal intervals and an absolute zero
Categorical vs continuous variables
Categorical variables (nominal / ordinal) represent distinct categories or groups, while continuous variables (interval/ratio) can take any numerical value within a range and can be measured
Frequency distribution
The number of times each event occurs is counted
Mean
The average of a set of values, calculated by summing all values and dividing by the number of values
-It is a measure of central tendency
Median
The middle value when data is arranged in ascending order
-More accurate if data is non-normally distributed
Mode
The value that appears most frequently in a dataset
-It is another measure of central tendency
Skewed data: left
Data that has a longer tail on the left side of the distribution, indicating that most values are concentrated on the right
-Retirement age is near 65-70
Skew data: right
Data that has a longer tail on the right side of the distribution, indicating that most values are concentrated on the left
-Small number of rich individuals cause the data to skew in a poor-moderate region
Range
Difference between highest and lowest scores
Percentile
Percentage o cases a given score exceeds
Standard deviation
Measure of the average deviation of the scores from the mean
-The higher the value, the more spread out the values are in a sample
True vs quasi vs non experimental research
Research designs that differ in control over variables and manipulation. True experiments involve random assignment, quasi-experiments lack random assignment, and non-experimental research does not involve manipulation
The 5 A’s
Ask: formulate a clear clinical question
Acquire: search for the best available evidence
Appraise: critically evaluate the research
Apply: integrate evidence into clinical practice
Assess: Evaluate performance and outcomes
T-tests
statistical tests used to compare the means of two groups to determine if they are significantly different from each other
chi-square
test used to determine whether there is a significant association between categorical variables
how to reduce bias in research
In research, reducing bias involves implementing strategies such as randomization, blinding, and using valid measurement tools to ensure results are not skewed by external factors or personal perceptions
Primary vs secondary research sources
Primary research sources are original data collected firsthand, while secondary research sources involve analysis of existing data or studies
Phenomenological Approach
A qualitative research approach focusing on the lived experiences of individuals, aiming to understand their perceptions and interpretations of a phenomenon
-TILLEY ARTICLE TAKES THIS APPROACH