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Nursing Research II

Quantitative Terms 75-76

QuestionAnswer
Exists when two or more research-trianed investigators with divergent backgrounds exploe the same phenomenon. Investigator triangulation
The use of both quantitative and qualitative research strategies in conducting a study but within one method. Within method triangulation
Combining research methods or strategies from two or more research traditions in the same study. Between method triangulation
Collection of data from multiple sources in the same study Data triangulation
Using two or more analysis techniques to analyze the same set of data for the purpose of validation. Analysis triangulation
The use of two or more frameworks of theoretical perspectives in the same study, with development of hypotheses based on the different theoretical perspectives and tested on the same data set. Theoretical triangulation
The use of two or more theories, methods, data sources, investigators, or analysis methods in a study; it usually involves combining qualitative and quantitative research methodologies Triangulation
The use of two or more research methods or procedures in a study, such as different designs, instruments, and data collection procedures, usually from both quantitative and qualitative research. Methodological triangulation
The use of two or more types of triangulation Multiple triangulation
The controlled implementation of a treatment or an independent variable in a study to determine its effect on the study dependent variable Manipulation
Any influence or action in a study that distorts the findings or slants them away from the true or expected. Bias
Casual laws that related to large and complex objects Molar
Imposing of rules by the researcher to decrease the posssibility of error and increase the probability tht the study's findings are an accurate reflection of reality. Control
Examines casual connections at the level of small particles, such as atoms Micromediation
The recognition that a number of interrelating variables can be involved in causing a particular effect Multicausality
Addresses relative rather than absolute causality. Probability
Includes three conditions: (1) there must be a strong relationship between the proposed cause and effect, (2) the proposed cause must have preceded the effect in time (3) the cause has to be present whenever the effect occurs. Causality
The group of elements or subjects not exposed to the experimental treatment; used in studies with random sampling methods Control group
Considers causal factors operating between molar and micro levels Intermediate mediation
Reasons why false conclusions can be drawn about the presence or absence of a statistically significant relationship or difference between groups. Threats to statistical conclusion validity
A measure of the truth or accuracy of a claim that is an important concern throughout the research process. Study Validity
Created by: egoodrich
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