Desk 1 reveals the fundamental descriptive analytics with the analyzed issues and also the IDI (Product Difficulty Directory) worthy of

It wasn’t seen that shipment out of assessed products differed significantly on normal shipments. Additionally, IDI directory don’t confirm the presence of flooring otherwise ceiling consequences in the study (merely in the case of goods 9 “We continue selecting something” performed a small roof effect inform you for everybody about three products). Regularity studies getting private test affairs shown no troubles with analysis granulation. In that respect, every products was basically utilized in after that analyses. This may be because of impulse put prejudice, such as for example societal desirability and acquiescence.

Factorial Legitimacy

By applying the Velicer MAP method, it was found that the optimal number of components to be extracted is one, which confirms the 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.

Synchronous investigation indicated that a one-basis provider is actually the most likely for all about three the fresh samples. Since expressed in Dining table 2, the main one-factor model presented a product loadings and you can equivalent abilities was basically seen concerning your goods loadings over the around three trials. All affairs piled saliently about grounds, which have product loading ranged ranging from 0.505 and you will 0.719 during the early adulthood test. In the adolescents it had been between 0.464 and you can 0.770 as well as in the challenge classification it had been anywhere between 0.eight hundred and you may 0.668. A minimal loadings were still extreme, verifying the new coherent framework of your Polish sorts of the fresh tool.

The next phase incorporated comparing the outcome of the design fitted strategies from other offered knowledge. There had been no tall differences between the fresh design installing scores acquired regarding the confirmatory basis investigation (CFA). Brand new Polish form of RS-14 exhibited a defined that-dimensional basis construction which have reples.

Concurrently, it should be indexed you to definitely on about three shot validation organizations zero biggest distinctions was indeed seen. Outlined email address details are given inside the Table step three.

Cross-Classification Validity Accuracy from Balances

Cronbach’s alpha coefficient was used to look at the interior structure from the fresh obtained survey signs. The outcomes are displayed lower than.

The brand new precision of one’s authored grounds try 0.853 (total test) throughout the recognition demonstration, hence confirms its large structure. Once office towards validation organizations, zero high differences in level consistency was observed. Cronbach’s alphas ranged between 0.824 and you can 0.871 across the about three samples:

The best accuracy of the received grounds are by the younger grownups (? = 0.871) and you can correspondingly reasonable from the state classification: (? = 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.