It was not observed that the distribution out-of analyzed items differed notably about regular delivery. Simultaneously, IDI list don’t confirm the current presence of floor or threshold consequences about analysis (simply in the example of items nine “I continue shopping for one thing” did a slight ceiling impression show for everybody three products). Regularity data to possess personal sample products showed no troubles having data granulation. Due to that, most of the circumstances was basically found in subsequent analyses. It on account of impulse put bias, for example personal desirability and acquiescence.
By applying the Velicer MAP method, it was found that the optimal number of components to be extracted is one, which confirms the hinge tanÄ±ÅŸma web sitesi original factor structure of the questionnaire. The effect was observed both when the results of the interviewees were analyzed together and when they were divided into validation groups. Subsequently, the result obtained by MAP was verified by means of principal component analysis with oblimin rotation. As the criterion for the number of factors to be isolated, the eigenvalue was set to be equal to at least 2. Assumptions of factor analysis were met [KMO = 0.908; chi ( 91 ) 2 = 1; p < 0.001]. The created factor explains a total of % variance of the questionnaire. The factor structure was checked for the three validation groups, there were no significant differences in the size of explained variance: early adulthood (%), young adolescence (%), problem group (%). The obtained factorial results correspond to the expected one factor dimensions of the original version of the Questionnaire.
Parallel study showed that a one-foundation solution is actually the most appropriate for everybody three the trials. As expressed within the Dining table dos, one-foundation design showed good item loadings and you will equivalent results was basically seen regarding the product loadings across the about three products. The things stacked saliently on this subject grounds, with items packing varied between 0.505 and 0.719 during the early adulthood test. Throughout the kids it actually was between 0.464 and you will 0.770 plus the challenge category it actually was ranging from 0.400 and you may 0.668. A low loadings remained significant, guaranteeing brand new coherent construction of your own Polish sort of the brand new appliance.
The next step integrated evaluating the outcomes of the model fitting strategies off their offered degree. There are zero tall differences when considering brand new design fitted score gotten from the confirmatory foundation analysis (CFA). This new Shine version of RS-fourteen showed a coherent you to-dimensional basis framework having reples.
At exactly the same time, it must be indexed you to about around three sample recognition organizations no big differences have been observed. Detailed email address details are provided in the Desk 3.
Cross-Group Authenticity Precision from Bills
Cronbach’s leader coefficient was applied to look at the internal texture away from the fresh new obtained survey evidence. The outcome is actually showed less than.
The brand new reliability of authored foundation is 0.853 (overall try) about validation demo, and that verifies their large texture. Just after section to your validation groups, zero extreme differences in measure structure was indeed noticed. Cronbach’s alphas varied ranging from 0.824 and you can 0.871 across the around three examples:
The greatest reliability of acquired basis is by the young people (? = 0.871) and you will correspondingly low because of the disease class: (? = 0.824).
Therefore, the internal consistency reliability of the RS-14 is not only acceptable across all sample populations, but also rather robust. Additionally, the analysis of the discriminative power of individual items shows that all test items are positively correlated with the scale. Because of the slight variation in Cronbach’s Alpha value for items where the correlation with the scale was <0.300, it was decided to include all test items in the factor. The exact results are shown in Table 4 below.