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The construction and analysis of repeated measurement designs (RMD) using the trial and error method

100%
Mir S. A., Shah I. A.
Statistics in Transition new series
|
2021
|
vol. 22
|
issue 1
131-144
EN
Repeated measurement designs prove broadly applicable in almost all branches of biosciences, including agriculture, animal husbandry, botany, zoology. Unbiased estimators for elementary contrasts among direct and residual effects are obtainable in this class of designs, which is considered their important property. In this paper, an attempt was made to provide a new method of overcoming a drawback in the construction method developed by Afsarinejad (1983), where one or more treatments may occur more than once in certain sequences causing the constructed designs to no longer remain uniform in the examined periods. Nine designs were constructed and presented jointly with their corresponding mathematical analyses.
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Testing Question Order Effects of Self-Perception of Risk Propensity on Simple Lottery Choices as Measures of the Actual Risk Propensity

88%
Golik J.
ASK. Research and Methods
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2018
|
vol. 27
41-60
EN
Uncertainty together with the necessity of making choices inevitably results in risky decisions. For many years now, scientists have been studying notions connected with risk such as risk management, risk perception or risk propensity. While many sophisticated methods regarding measurement of risk propensity have been developed so far, it seems that little attention has been paid to checking whether they are not inherently flawed. The main goal of this article is to check with a simple preliminary study whether questionnaire based methods of risk propensity assessment are not susceptible to question order effects. The research is focused on respondents’ answers to simple lottery choices as measures of their risk propensity. However, what would happen if the respondents were first asked how they perceive their own risk propensity? In order to answer this query a few questions designed to measure risk propensity and self-perception of risk propensity have been interspersed in a questionnaire of another research project. Furthermore, as an additional output of the study, the correlation has been checked between self-perception of risk propensity and the actual assessment of risk propensity based on the questions used. The results of the study show that question order effects are partially present in the setting described. Some conclusions and recommendations for further research are made based on the results. Finally, it can be concluded from the research that simple self-perception of risk propensity was significantly correlated with measures of actual risk propensity used.
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