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Research Design

NPTE Research & EBP

Historical research investigates data sources for authenticity and worth
descriptive research collects data about conditions, attitudes or charactheristics of a group
types of descriptive research case studies, developmental, longitudinal, normative, qualitative
case studies investigation of individual, group
developmental R studies of behaviors that differentiate individuals at different ages, growth, maturation
longitudinal studies changes over time
normative R standards of behavior, standard values of given characteristics
qualitative R seeks facts or causes of social phenomena
Correlational R determine relationship between 2 variables
Limitation of correlational R cannot establish cause & effect, may fail to consider all variables in relationship
Correlation coefficient degree of relationship between variables
Correl Coeff near +1.00 positively correlated
Correl Coeff near 0.00 variables not related
Correl Coeff near -1.00 inversely correlated
Types of correlational R retrospective, prospective, descriptive, predictive
Retrospective R investigates data collected in past
Prospective R investigation of current data
Descriptive R investigation of several variabless, determines existing relationships among variables
Predictive R useful to develop predictive models
Experimental R attempts to define a cause and effect relationship by group comparisons
Types of experimental R True experimental, cohort design, within subject (repeated measures), between subject design, single subject design, factorial design
True experimental design random assignment into experiemental or control group
Cohort design quasi-experimental design. Subjects ID and followed over time for changes following intervention. Lacks randomization, may not have a control group
Within Subject Design AKA Repeated Measures. subjects serve as own controls, random assignment to tx or no tx.
Between Subject Design comparisons made between groups
Single Subject Experimental design involves a sample of one with repeated measurements and design phases (AB, ABA, ABAB)
A-B design SSED - 2 phases - a pretreatment and a treatment phase.
A-B-A design Baseline phase, treatment phase, second baseline phase
A-B-A-B design baseline, treatment, baseline, treatment
Factorial Design number of independent variables utilized
Causal-Comparative R attempts to define a cause-effect relationship through group comparisons
Ex post facto R independent variable has already occurred and cannot be manipulated. Groups compared based on dependent variable
Epidemiology R study of disease frequency & distribution
Created by: Jenwithonen