statistical control of extraneous variables

Society was founded in 1952. Access to society journal content varies across our titles. Some society journals require you to create a personal profile, then activate your society account, You are adding the following journals to your email alerts, Did you struggle to get access to this article? Statistically controlling for extraneous variables is an option for removing the influence of the variable on the study of program results. B., Tesluk, P. E., Marrone, J. Login failed. Please log in from an authenticated institution or log into your member profile to access the email feature. View or download all content the institution has subscribed to. . The researcher wants to make sure that it is the manipulation of the independent variable that has an effect on the dependent variable. endobj New login is not successful because the max limit of logins for this user account has been reached. B., Armenakis, A. In this natural experiment, a community living near higher concentrations of car exhaust may also live near factories that pollute or have higher rates of smoking. Extraneous variables are all variables, which are not the independent variable, but could affect the results of the experiment. Extraneous variables are unwanted factors in a study that, if not accounted for, could negatively affect (i.e. Extraneous variables add undesirable error to experiments, so decreasing or controlling the influence of these variables is a major goal. It is assumed that the extraneous factors are ... 2) Matching: Another important technique is to match the different groups of confounding variables. One way to determine whether a relationship between variables is causal is based on three criteria for research design: temporal precedence meaning that the hypothesized cause happens before the measured effect; covariation of the cause and effect meaning that there is an established relationship between the two variables regardless of causation; and a lack of plausible alternative explanations. A. Charbonnier-Voirin, A., Akremi, A. E., Vandenberghe, C. Choudhary, A. I., Akhtar, S. A., Zaheer, A. Dahling, J. J., Chau, S. L., O’Malley, A. DeRue, S. D., Nahrgang, J. D., Wellman, N., Humphrey, S. E. Dinh, J. E., Lord, R. G., Gardner, W. L., Meuser, J. D., Liden, R. C., Hu, J. Dulac, T., Coyle-Shapiro, J., Henderson, D. J., Wayne, S. J. Duriau, V. J., Reger, R. K., Pfaffer, M. D. Eagly, A. H., Johannesen-Schmidt, M. C., van Engen, M. L. Gardner, W. L., Lowe, K. B., Moss, T. W., Mahoney, K. T., Cogliser, C. C. Green, J. P., Tonidandel, S., Cortina, J. M. Hiller, N. J., DeChurch, L. A., Murase, T., Doty, D. Liden, R. C., Erdogan, B., Wayne, S. J., Sparrowe, R. T. Lowe, K. B., Kroeck, K. G., Sivasubramaniam, N. MacKinnon, D. P., Krull, J. L., Lockwood, C. M. McMurray, A. J., Islam, M. M., Sarros, J. C., Pirola-Merlo, A. Sekiguchi, T., Burton, J. P., Sablynski, C. J.

%���� Login via your For more information view the SAGE Journals Sharing page. JSTOR®, the JSTOR logo, JPASS®, Artstor®, Reveal Digital™ and ITHAKA® are registered trademarks of ITHAKA. Sign into your Profile to find your Reading Lists and Saved Searches. we control for many independent variables at once • But it is worth getting the basic ideas • Z will be our symbol for the extraneous variable, the control variable Possible Results of Elaboration 1. The first is inferring a factor is causal because it predicts an outcome even after "statistical control" for other factors. If you're interested in the effect of weight on cataracts, height would be a confounding variable, because taller people tend to weigh more. Here you hold the value of an extraneous variable constant across all subjects. 2 0 obj In analytical health research there are generally two types of variables. To access this article, please, Access everything in the JPASS collection, Download up to 10 article PDFs to save and keep, Download up to 120 article PDFs to save and keep. stream Bethesda, MD 20894, Copyright

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1) Randomization: In this approach, treatments are randomly assigned to the experimental groups. Independent variables are what we expect will influence dependent variables. JSTOR is part of ITHAKA, a not-for-profit organization helping the academic community use digital technologies to preserve the scholarly record and to advance research and teaching in sustainable ways.

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