Strengths and Limitations to Research Design and Methods

Strengths and Limitations to Research plan and MethodsCarly ReidAbstractAssess the strengths and limitations of each of the look for contrives presented in Weeks 2 and 3.Recommend a quantitative design for your research plan. Include a rationale for why that design would be most appropriate.For the designs that you did non choose, state why each one is not appropriate for your research questions, hypotheses, and variables.Support your work with references to the literature.Experimental Design StrengthsExperimental designs sets the precedence for being the first standard prototypes for researchers. Researchers put forward regulate in hooked variables and dispose of superfluous variables more so than other research design methods. With the ability to manipulate contact to unconditional variables experimental design allows a researcher to conclude causal relationships within the design. With the ability to watch ca character and effect and the influence of the independent variable on the dependent one. (Fort-Nachmias Nachmias, 2008) Since the conditions be controlled in experimental design this permits duplication that allows the researcher to authenticate their results. New research is contingent upon experimental design methods because when this research experiments are replicated it allows other researchers to substantiate confidence in a studys results. (Fort-Nachmias Nachmias, 2008)Experimental Design LimitationsExperimental design strives to remove or governs extraneous variables yet this may not always be probable. Especially when the study has to do with real world situations since its next to impossible to replicate a inborn environment this weakens impertinent validity. (Levy, Ellis, Cohen, 2011) When dealing with the selection process it may not be ergodic which is necessary to control variables. Samples sizes may not me indigenous of a wider population make results too general to the population of interest. (Fort-Nachmias Nachmias, 2008 ) This methodology can prove to be unethical or impossible to apply arbitrary treatments to patients and or control populations.Quasi-Experimental Design StrengthsA quasi-experimental intentional studies lets researchers examine behavior in ordinary situations that arent ordinarily pliable to experimental designs. The external validity is increased when using natural samples. (Fort-Nachmias Nachmias, 2008) In this weeks assignments Marques and Lima (2011) studied the effects of living in industrial neighborhoods. Marques and Lima (2011) took a look at how living in an industrial neighborhood can psychologically effect its inhabitants.Since the researchers didnt use random assignments to compare groups this would be considered a quasi-experimental design. Marques and Lima were unable to control where those they were poring over lived. Researchers who create comparison groups through a non-random methods comparing groups are using quasi-experimental design. Quasi-experimental desig n is a substitute for experimental design since experimental design uses random assignment to groups. For instance a researcher may inquire of the discriminations of participants in the groups due to gender, marital status, age, or education level. In this particular article the difference was years of residing in a particular town. There was no other significant difference in the four samples. (Marques Lima, 2011)Quasi-Experimental Design LimitationsSince quasi-experimental design doesnt use random selection to allocate assignments to participants to comparison groups, the person conducting the research must be mindful of how the non-random selection process might affect the study results. (Shannon, Goldenhar, Hale, 2001) When find the differences between groups with factors like age, socio-economic status, gender, marital status, education level or other differences a researcher might want to know if there are intrinsic differences. As a researcher it is important to take into account these differences since they could possibly affect participant responses to the take over group to which they are linked. (Shannon et al., 2001) It is also important to remark that these differences must be accounted for and detailed for statistical analysis. (Shannon et al., 2001).Unchosen Research DesignsExperimental DesignQuasi-experimental versus experimental differs in that experimental always uses a control group to which research participants are randomly assigned, repayn treatments executed by the researcher, and followed by an assessment of the effects of treatment. (Levy, Ellis, Cohen, 2011) Experimental designs measure the connection between the independent and dependent variables of which researchers welcome complete control of independent variables effects on the dependent variables. (Fort-Nachmias Nachmias, 2008)Cross-Sectional DesignCross-sectional deigns surveillances and uses random sampling of research participants and break away to be connected to survey research. (Fort-Nachmias Nachmias, 2008) Information is recorded from the survey without manipulation of variables or exposure of groups to a single treatment. Cross-sectional research designs can give researchers a nominal tool to examine many individualities concurrently like age, gender socio-economic status between the supposed group that is participating in a researched activity and the group that isnt. This design is descriptive rather than causal. Experimental design manipulates variables unlike cross-sectional designed research.My Research Design for Quantitative StudyThe bespeak of my study is to define the individualities of a sample of young caregivers of Alzheimers and dementia patients between the ages of 28 and 40 to conclude the effects of self-esteem and familial support on stress management. The sample will be made up of caregivers responses to a flyer announcement for participants displayed at a local Adult daycare center. Contingent on the number of resp onses, all, or an unsystematically selected number of participants will be carefully chosen.This population was chosen because of the supposed impact of stress on younger Alzheimers/Dementia caregivers. The survey design will be a self-administered questionnaire for the data collection in this study. The partiality for survey design is steered by the necessity to gather caregiver responses concerning the personal experiences of these younger caregivers in demanding circumstances with concern to their use of self-esteem and having familial support. The survey tool used was designed specifically for this research. The dependent variable in both hypotheses is the management of stress. The independent variables are self-esteem and familial support.The survey content is designed to identify to what boundary participants utilize their family networks. The survey will also ascertain how their self-esteem is effected in stressful situations as a caregiver. The data will be analyze and inte rpreted reporting the results of the returned surveys as well as the amount of the non-returned surveys. A wave analysis will be utilized where we will examine returns on select items week by week to determine if average responses change from beginning to the end of the process. (Creswell, 2009 pg. 152). Descriptive analysis will be provided for the independent and dependent variables in the study and will identify the means, standard deviations, and range of scores for these variables. (Creswell, 2009 pg. 152) An analysis of variance will be applied to make contrasts between the independent variables. (Creswell, 2009 pg. 152)ReferencesBurger, J. M. (2009). Replicating Milgram Would people still obey today? American Psychologist, 64(1), 1-11. doi10.1037/a0010932.Creswell, J. (2009). Research design Qualitative, quantitative, and mixed methods approaches (3rd Ed.). Thousand Oaks, CA Sage Publications.Frankfort-Nachmias, C., Nachmias, D. (2008). Research methods in the neighborly sc iences (7th ed.). New York Worth.Levy, Y., Ellis, T. J., Cohen, E. (2011). A Guide for Novice Researchers on Experimental and Quasi-Experimental Studies in Information Systems Research. Interdisciplinary Journal Of Information, Knowledge Management, 6151-161.Marques, S., Lima, M. L. (2011). Living in grey areas industrial activity and psychological health. Journal of Environmental Psychology, 31(4), 314-322. doi10.1016/j.jenvp.2010.12.002Shannon, H. S., Goldenhar, L. M., Hale, A. R. (2001). Chapter 4 Quasi-experimental and experimental designs More powerful evaluation designs. In L. S. Robson (Author), Guide to evaluating the effectiveness of strategies for preventing work injuries How to appearing whether a safety intervention really works. (pp. 29-42). Cincinnati NIOSH.Trochim, W. M. (2006). Quasi-experimental design. The Research Methods Knowledge Base. Retrieved December 21, 2013, from http//www.socialresearchmethods.net/kb/quasiexp.php