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NRS 433V Topic 3 DQ1 and DQ2

NRS 433V Topic 3 DQ1 and DQ2

Topic 3 DQ 1
Start Date & Time Due Date & Time Points
Sep 12, 2022, 12:00 AM Sep 14, 2022, 11:59 PM 8
Provide examples of experimental and nonexperimental research design. Contrast the levels of control
applied to each.


TOPIC 3 DQ 1: Examples of Experimental and Non-Experimental Research Design

There are many different types of experimental research designs, but some of the most common include:-The controlled experiment, or carrying out a laboratory test: In a controlled experiment or in a laboratory test, the researcher is able to manipulate one or more independent variables while holding all other variables constant. This allows the researcher to determine whether changes in the dependent variable are due to the independent variable(s). All experimental research designs share the same basic goal: to identify cause and effect relationships. In an experiment, one or more variables (the factors that a researcher manipulate) are changed while everything else is held constant (Podsakoff & Podsakoff, 2019). The results of the experiment allow researchers to determine whether the changes in the variable(s) had a significant effect on the outcome. Another example of experimental design is the randomized controlled trial (RCT). In an RCT, participants are randomly assigned to groups, and each group receives a different treatment. This allows researchers to compare the effects of different treatments directly. Other common designs include cross-over trials, where participants receive all of the treatments at different times. NRS 433V Topic 3 DQ1 and DQ2

In non-experimental research designs, the level of control is typically lower than in experimental designs. This means that there is less controllability over the variables being studied, and results are more susceptible to confounding factors. However, non-experimental designs have their own strengths, such as increased realism and flexibility. In many cases, non-experimental research is the only type of research possible given the practical limitations imposed by ethical concerns or time restraints. Ultimately, the appropriateness of a particular research design depends on the particular research question being asked.

A non-experimental research design is a type of research design that does not involve the manipulation of the independent variable. Non-experimental research designs are often used in social science research, and they can be either observational or analytical in nature (Guerin, 2018). One of the main example of a non-experimental research design is testing the hypothesis of patients who are resistant to drugs and those who are not. There are four levels of control that can be applied to experimental research designs: independent, dependent, quasi-independent, and natural. NRS 433V Topic 3 DQ1 and DQ2.


Guerin, B. (2018). The use of participatory and non-experimental research methods in behavior analysis. Perspectivas em Análise do Comportamento9(2), 248-264. https://doi.org/10.18761/PAC.2018.n2.09

Podsakoff, P. M., & Podsakoff, N. P. (2019). Experimental designs in management and leadership research: Strengths, limitations, and recommendations for improving publishability. The Leadership Quarterly30(1), 11-33. https://doi.org/10.1016/j.leaqua.2018.11.002

Topic 3 DQ 2
Page 12 Grand Canyon University 2022 © Prepared on: Aug 31, 2022

Start Date & Time Due Date & Time Points
Sep 12, 2022, 12:00 AM Sep 16, 2022, 11:59 PM 8
Describe sampling theory and provide examples to illustrate your definition. Discuss generalizability as it
applies to nursing research.


TOPIC 3 DQ 2: Sampling Theory

Sampling theory is a branch of mathematics that deals with the sampling of a population. A population is defined as a complete set of objects from which something is to be selected. A sample is a subset of a population. There are two main types of sampling: probability sampling and non-probability sampling. Probability sampling relies on the use of random numbers to select the objects from the population (Pye, 2020). Non-probability sampling does not rely on random selection. Some common types of probability sampling are simple random sampling, stratified random sampling, and systematic random sampling. Some common types of non-probability sampling are convenience sampling and purposive sampling.

Generalizability is the extent to which the results of a study can be generalized to other people, settings, or times. It is an important consideration in nursing research because the findings of a study may not be applicable to all patients (He et al., 2020). When assessing the generalizability of a study, it is important to consider factors such as the population studied (e.g., men vs. women; young vs. old), the setting in which the study was conducted (e.g., hospital vs. community setting), and how well the study was designed (e.g., randomized controlled trial vs. case report). The findings of a study that is poorly designed or that only includes a small number of participants are less likely to be generalizable.

Sampling and generalizability are important concepts to consider when designing and conducting nursing research. With regard to sampling, it is important to select a sample that is representative of the population under study. This can be achieved by using random sampling or stratified sampling. Generalizability refers to the extent to which the findings of a study can be generalized to other populations. It is important to consider factors such as study setting, population characteristics, and research design when assessing generalizability.


He, Z., Tang, X., Yang, X., Guo, Y., George, T. J., Charness, N., … & Bian, J. (2020). Clinical trial generalizability assessment in the big data era: a review. Clinical and translational science13(4), 675-684. https://doi.org/10.1111/cts.12764

Pye, J. (2020). On the Application of Bandlimitation and Sampling Theory to Quantum Field Theory. http://hdl.handle.net/10012/16427

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