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Correlational Design
Problems in Correlational Research Design
In an attempt to determine how school children develop an interest in science -- more specifically, what factors might work to influence scientific interest in children -- a group of researchers has created and validated a measure of actual scientific interest. Equipped with this means of measuring their dependent variable, the researchers must now go about the task of determining what independent variables should be included in their model, thus answering their central research question. To this end, their plan is to use a variety of instruments to measure as many variables as possible as quickly as they possibly can, with the assumption that each additional variable they measure increases the probability that they will find variables that indeed have an influence on scientific interest. Their reasoning and the research...
Interest, especially interest in academic subjects and especially among children of school age, is something that changes over time, and thus a static measure of scientific interest followed by a rapid (and again static) measure of other cognitive, psychological, and environmental variables would not really reveal what the researchers would want it to reveal, namely how scientific interest changes/is influenced by other variables. Examination would have to take place over time, with changes in the independent variables measured along with changes in scientific interest in order to determine a truly correlative relationship between any of the variables tested. The fundamental design of this research is flawed, then, however slightly, and a single…
2009). The greater the extent to which a young person identified with homeless culture, the more likely he or she was to be an abuser of drugs and alcohol. Although this cultural factor was the strongest correlative factor, the other domains in the study likewise were highly correlated with substance abuse amongst homeless young people. The authors stated that although drug abuse is often seen as a problem by social
categories of research designs: true experiment, factorial, quasi-experiment, and ex post facto. Under each broad category, there are a number of more specific research designs. For instance, a co-relational design in which the researcher aims to determine the relationship between two or more variables falls under the category of ex post facto designs. Your research design represents the structure of your study. In other words, it reflects the number
88). To make the non-experimental anthropological study of freshman in a dorm room experimental, a study could be constructed of multiple variable factors (such as high school grades, number of roommates, major, gender) to determine what variables were present in students with higher grades. By submitting questionnaire to students in the dorm room and determining which variables, when present, seemed to correlate with higher grades and were potential 'causal' factors
.....ending terrorism in Africa, the methods employed should be oriented towards measuring outputs. The outputs that are expected with this particular study are the ending of terrorism in Africa. The inputs are the various strategies and programs that are implemented in order to bring about this outcome. The outcome has to be measured in a quantitative manner in order that a statistical analysis can be performed. Thus, the type of
Internal validity of any research design refers to the design's ability to make causal inferences from the data collected and the results of the study (Shadish, Cook, & Campbell, 2002). The research designs that offer the highest levels of internal validity are true experiments where the participants are randomly assigned to the conditions in the study. Quasi-experimental designs attempt to improve on the poor internal validity of correlational designs by
DPI The PICOT question is: To what extent is there a relationship between the standard health education to implement patient-specific dietary and lifestyle modifications compared to patients who receive culturally tailored diabetes education and the reduction of A1C levels among Asian Americans newly diagnosed for type 2 diabetes after 3 months following initial diagnosis? Topic 1. This DPI will use a quantitative research design that is correlational. Though Abrahamse, Schultz and Steg (2015)