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| clinical trial methodology |
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| research designed to investigate treatment efficacy |
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| variation on experimental design in which more than one intervention is tested and in which the order of participation in each intervention is manipulated |
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| strength of differences in the sample values that the investigator expresses to find |
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| genre of research that examines the distribution of disease in populations and seeks to reveal factors that influence population-based illness |
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| variation on true-experimental design in which the investigator evaluates the effects of 2 or more independent variables or the effects of an intervention of different factors or levels of sample or study |
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| action process of maneuvering the independent variable so that the effect of its presence, absence, or degree on the dependent variable can be observed |
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| analysis techniques of data and/or information aggregated from more than one source |
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| experimental-type designs in which 3 criteria for true experiment do no exist |
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| designs in which 2 of the 3 criteria necessary for the true experiment are absent |
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| experiments that have treatments, outcome measures, and experimental units but do not use random assignment to create comparison from which treatment-caused changed is inferred; instead, the comparisons depend on nonequivalent groups who differ from each other in many ways other than the presence of the treatment being test |
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| selection or assignment of subjects based on chance |
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| true-experimental design that combines true experimentation and posttest-only designs into 1 design structure |
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| classic 2-group design in which subjects are randomly selected and randomly assigned (R) to either an experimental or control group conditions |
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| random sampling technique whereby the investigator begins with large units in which smaller sampling unites are contained, then randomly selects elements from these units |
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| boundary-setting action process that involves the enrollment of available subjects as they enter the study until the desired sample size is reached |
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| strength of differences in the sample values that the investigator expects to find |
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| capacity to generalize findings and develop inferences from the sample to the study population |
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| sampling in which nonrandom methods are used to obtain a sample |
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| group of persons, elements or both with common characteristics that are defined by the investigator |
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| sampling plans that are based on probability theory |
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| nonrandom technique in which the investigator purposively obtains a sample by selecting sample elements in the same proportion that they are represented in the population |
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| subtest of the population participating or included in the study |
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| process of selecting a subgroup that can accurately represent the population, designs, or procedures developed to increase the chances of selecting indiv. or elements that will be most representative of the larger population |
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| difference between the values obtained form the sample and those that actually exist in the population |
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| listing of every element in the target population |
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| probability sampling technique in which a sample is randomly selected from a population |
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| obtaining a sample through asking subjects to provide the names of others who may meet study criteria; aka networking |
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| probability of identifying a relationship that exists, or the probability of rejecting the null hypothesis when it is false or should be rejected |
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| stratified random sampling |
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| technique in which the population is divided into smaller subgroups, or strata, from which sample elements are then chosen |
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| group of individuals or elements from which the investigator is able to select a sample |
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| data collection technique in which the meaning of objects in their natural context is examined |
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