Quantitative Research for the Qualitative Researcher is a concise, supplemental text that provides qualitatively oriented
students and researchers with the requisite skills for conducting quantitative research. Throughout the book, authors Laura M. O'Dwyer and James A. Bernauer provide ample support and guidance to prepare readers both cognitively and attitudinally to conduct high quality research in the quantitative tradition. Highlighting the complementary nature of quantitative and qualitative research, they effectively explain the fundamental structure and purposes of design, measurement, and statistics within
the framework of a research report, (including a dissertation). The text encourages the reader to see quantitative methodology for what it is, a process for systematically discovering new knowledge that can help describe, explain, and predict the world around us. Non-Experimental Research DesignsNon-experimental research designs Chapter Outline
The purpose of this chapter is to introduce readers to quantitative, non-experimental research designs as a way for generating data to address important research questions. In describing these designs, we refrain from categorizing them as discrete entities and instead present descriptions to how the designs are used and how the data are generated. Essential Characteristics of Non-Experimental Research DesignsNon-experimental research designs are appropriate when the goal is to examine naturally occurring attributes, behaviors, or phenomena that cannot be experimentally manipulated by the researcher. This may be because it is impossible or ... locked icon Sign in to access this contentSign in Get a 30 day FREE TRIAL
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Nonexperimental DesignsNonexperimental designs include research designs in which an experimenter simply either describes a group or examines relationships between preexisting groups. The members of the groups are not randomly assigned and an independent variable is not manipulated by the experimenter, thus, no conclusions about causal relationships between variables in the study can be drawn. Generally, little attempt is made to control for threats to internal validity in nonexperimental designs. Non-experimental designs are used simply to answer questions about groups or about whether group differences exist. The conclusions drawn from nonexperimental research are primarily descriptive in nature. Any attempts to draw conclusions about causal relationships based on nonexperimental research are done so post hoc. This entry begins by detailing the differences between nonexperimental and other research designs. Next, ... locked icon Sign in to access this contentSign in Get a 30 day FREE TRIAL
sign up today! What is a nonNonexperimental designs are research designs that examine social phenomena without direct manipulation of the conditions that the subjects experience. There is also no random assignment of subjects to different groups. As such, evidence that supports the cause-and-effect relationships is largely limited.
What is a nonIn nonexperimental designs, the groups already exist and the experimenter cannot or does not attempt to manipulate an independent variable. The experimenter is simply comparing the existing groups based on a variable that the researcher did not manipulate. The researcher simply compares what is already established.
Can quantitative studies be nonWhile non-experimental research can be both qualitative and quantitative, here we will focus on quantitative research. Experimental research can provide strong evidence that change in independent variable causes change in the dependent variable.
Which is an example of a quantitative nonAn example of a non-experimental quantitative research method is correlational research. Researchers use it to correlate two or more variables using mathematical analysis methods.
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A non experimental design is being used for a quantitative study what will occur during this study
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