quantitative research week 4
DESCRIPTION
Quantitative Research in NursingTRANSCRIPT
Quantitative Research
Objectives
DefinitionList typesDiscuss characteristicsExamine the types of designsHow quantitative relates toe evidence-based
nursingSummary points
Definition
Identified with the traditional scientific method
Gathers data objectively in an organized manner
Findings can be generalized to other situations/populations
Systematic plan
Types
Experimental designs Treatment Control group
Quasi experimental Lacks randomization May not have control group
Non experimental Generates questions for experimental designs
Characteristics
Why – Purpose for the studyWhere – Setting where the study is doneWho – Subjects to be studiedWhat – Type of data to be collectedWhen – Timing of the data collectionHow – Design used for the study
Experimental Design
ControlMost common and important
characteristicManipulation
Independent variable Randomization
Assignment of subjects to a group allowing for equal opportunity of selection
Variables
Dependent Outcome of the study Usually not manipulated
Independent Treatment, intervention, or experiment Usually manipulated
Extraneous Need to be controlled Examples – gender, age, ethnicity
Generalization
Ability to apply the results of a study to other settings and/or populations
Helps to strengthen the studyAided by careful control of the study through the use of randomization, control, and manipulation
Experimental Designs
Look for cause and effectMust be a preceding cause and a relationship
between the cause and outcomeIssues to consider
Can the variables be manipulated Ethics Feasibility Hawthorne effect
Types Pretest-posttest Randomized Controlled Trials (RCTs)
Non-Experimental Designs
Manipulation of variables is not possibleRandomization is not possibleObservational not interventionalTypes
Secondary analysis Meta analysis
Quasi-Experimental Design
Most frequently used quantitative research design
Independent variable is manipulatedNo randomization of subjectsNo control group usedNot as strong design as experimental Stronger design than descriptive More practical
Control
Critical for results related to cause and effect in relation to the treatment/intervention
Randomization aids in controlling extraneous variables
Areas of concern Maturation Attrition of subjects History
Descriptive Designs
Examines the characteristics of just one sample population
Used for theory development, practice problems, rationale for current practice or clinical decision making based on what others are doing
Types Comparative Time dimensional Cross-sectional Trends and events Correlational
Comparative Design
No manipulation of the independent variable
No control group used
Can be retrospective
Correlational Design
Most widely used descriptive designExamines the relationships between two or
more variables within a situationReason for the relationship is unknownDo not conclude that only one variable
causes anotherCan be prospective or retrospective in
designCan be predictive in nature
Quality Improvement Projects and Root Cause Analysis
Focused on patient outcomes Improving practice, not scientific inquiryRoot Cause Analysis
Examine systems Looks for reasons for system or person error Adverse events or sentinel events
Evidence-based Considerations
Increases comprehension of various designsConcepts of randomization and control are
essentialWhat is expected (relationships, effect, etc)
determines designThree essential components must be
present for experimental design – control of variables, manipulation, and randomization
Summary Points
Identified with traditional scientific methodsObjective, systematic plan for gathering dataDesign centers around why, where, who,
what, when and how questionsExamines relationships for cause and effect
Summary Points Contd.
Manipulation of the independent variable, control of extraneous variables, and randomization are essential
Comparative designs – no manipulation or control of the independent variable
Correlational design most commonly used descriptive design
Types of correlational studies – ex post factor, prospective, or predictive
Summary Points Contd.
Experimental designs look for cause and effect
Issues – ethics, manipulation of variable, feasibility, and Hawthorne effect
Most classic experimental design – pretest-posttest design
Randomized Controlled Trials – true experimental design
Summary Points Contd.
Types of non experimental designs used in EBP – secondary analysis and meta analysis
Quasi experimental designs used most frequently when no randomization or control group possible
Most commonly used quasi experimental design formats – non equivalent control group and time series designs
Non equivalent control groups design compares two groups without randomization
Summary Points Contd.
Time series design – no randomization, no control group, data collected at various intervals.
Threats to study – history, maturation, and attrition
Implications for EBP – must have working knowledge about quantitative designs.
Root Cause Analysis and Quality Improvement work to show relationships