It wasn’t noticed the delivery off reviewed circumstances differed rather in the normal distribution. At exactly the same time, IDI index did not prove the existence of floors otherwise ceiling outcomes in the investigation (only in the case of items 9 “We keep looking for things” performed a small ceiling impact let you know for all about three products). Regularity analysis to have personal decide to try products exhibited no troubles having investigation granulation. Due to that, most of the factors were used in further analyses. Then it on account of response lay prejudice, like personal desirability and acquiescence.
Factorial Authenticity
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.
Parallel analysis showed that a-one-grounds service is the most appropriate for everyone around three this new trials. Once the conveyed inside Dining table 2, the only-foundation model shown an excellent item loadings and you will comparable results had been seen concerning your goods loadings along side three samples. Every factors stacked saliently with this basis, which have product loading ranged between 0.505 and 0.719 in early adulthood try. In the adolescents it actually was between 0.464 and you can 0.770 and in the challenge classification it was ranging from 0.eight hundred and you may 0.668. The lowest loadings remained high, guaranteeing the newest coherent framework of Gloss kind of the new instrument.
The next phase integrated comparing the results of the design suitable strategies off their available training. There have been zero significant differences between the model fitted ratings acquired about confirmatory grounds analysis (CFA). The newest Polish sort of RS-14 showed a coherent one to-dimensional grounds structure with reples.
On top of that, it should be detailed you to in the about three attempt recognition teams zero big variations was basically observed. Detail by detail results are offered in Dining table step three.
Cross-Classification Authenticity Precision from Scales
Cronbach’s alpha coefficient was used to look at the internal consistency from the latest obtained survey evidence. The results was presented lower than.
The fresh 
new precision of your own created factor is 0.853 (full test) regarding the validation trial, and therefore confirms their large texture. Just after division on the validation communities, zero tall variations in scale feel was indeed seen. Cronbach’s alphas varied ranging from 0.824 and you may 0.871 along the three products:
The greatest reliability of received grounds was by the more youthful people (? = 0.871) and you will respectively reduced because of the condition 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.