Academic journal article Kuram ve Uygulamada Egitim Bilimleri

The Examining of Generalization Quantitative Scientific Findings by Using the Jackknife Method: An Application

Academic journal article Kuram ve Uygulamada Egitim Bilimleri

The Examining of Generalization Quantitative Scientific Findings by Using the Jackknife Method: An Application

Article excerpt

Abstract

Th e outcomes which cannot be generalized are specific for a sample but are unable to be refl ected to the rest of the population. Th e parameters that are reached at the end of the statistics that are scarce in sample arise doubts in the aspect of generalization. In these cases, parameter estimation may not be very stable and outlier values can produce false outcomes in the model. Th e situation that there is sample size is not adequate enough in numbers, reliability and generalizations that are reached at the end of restricted sets of data necessitate questioning with a dubious approach. Some statistical methods test the confidence intervals of the parameter values of the samples and the generalization of the parameter estimation values of the samples. Th ese methods are known as "resampling" or "domestic-self copying." Jackknife is one of these methods. Th e sample in this study is composed of 18 students. Th e status of the "self-respect" of individuals in making decisions has been tried to be determined for the sample by the application of the Melbourne Decision-making Scale I. In this research, the dependent variable was determined to be the total item score related to the self-respect manners of individuals whereas independent variables were determined to be the academic success averages of the students (acdave), the financial income of their families (economy) and the number of siblings (sibling) they have. It has been seen that the academic success independent variable has a considerable eff ect at a significance level of .05 on the dependent variable of self-respect dependence of decision making (p < .05) and Jackknife has confirmed this generalization.

Key Words

Jackknife Parameter Estimator, Resampling, Generalization.

(ProQuest: ... denotes formulae omitted.)

Decision-making process is described as the cognitive responses that individuals develop for diff erent situations that they face. Decisionmaking is described as a process in which there are more than one options in a given situation or the process which people may face in responding the problems throughout their social lives (Çakir, 2004; Deniz, 2004; Eldeleklioglu, 1996; Sardogan, Karahan, & Kaygusuz, 2006). It is already known that decision-making styles diff er from person to person. Pieces of writings on the fi eld indicate that people may experience stress and anxiety during the decision-making process (Çakir, 2004; Kuzgun, 1992; Mann at al., 1998; Yi, & Park, 2003). It is declared that "value judgment," "purposes." and "standards" aff ect decisionmaking (Yazicioglu & Erdogan, 2002). Yazicioglu and Erdogan (2002) exemplifi ed some direct eff ects on decision-making such as academic achievement, love, respect, trust, freedom, health, wealth, knowledge, ability, and religion.

Th e principle that the outcomes of the results of the scientifi c studies is regarded to be extremely important as one of the features of scientifi c features (Borg & Gall, 1983). Th e outcomes of the scientifi c studies that are the results of the experimental eff orts shed light on the future studies of the relevant fi eld thus contribute to the development of the fi eld under consideration. Moreover, the situation in which the outcomes of the scientifi c studies are unbiased and reliable would strengthen the theoretical framework of the fi eld and would preserve the objectivity and reliability of the long term use of the relevant outcomes. Th e outcomes which cannot be generalized are sample-specifi c but are unable to be refl ected to the rest of the population (Th ompson, 1992). It has been observed that some of the samples that are investigated in the scientifi c studies are scarce in number. Th e parameters that are reached at the end of the statistics that are scarce in sample arise doubts in the aspect of generalization.

Th e relationship between dependent and independent variables is determined according to the beta coeffi cient that is reached at the result of the regression equation. …

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