Moreover, a factor analysis showed that the production factors had the largest impact in these regions.
Full information factor analysis showed the presence of one dominant factor explaining 34% of data variance.
Confirmatory factor analysis showed some problems in the adjustment of the questionnaire model to the data.
For example, the factor analysis showed that rigour and relevance are not opposing aims in heritage science research.
Similarly, the factor analysis showed that enrichment independently decreased motivation to interact with novel objects and humans.
Factor analysis showed that anomalies of element concentrations in most cases can be explained by local mineralogical conditions.
The results of factor analysis showed that the compost/mulch thickness was the most influential variable affecting water quality.
The results of the factor analysis showed that the choice of a factor explains 34.3%% of the total dispersion while the solution of two factors explains 63.6%%.
Factor analysis showed that the data on the questionnaire decomposed into three factors, which accounted for 72.6%% of the total variance: professionalism, collaboration, and communication.
Factor analysis showed that the data on the questionnaire decomposed into three factors which counted for 76.4 % of the total variance: professionalism, collaboration, and communication.
The findings of the exploratory factor analysis showed that the positive impact of these work sites on the site was 65.25% while the negative impact was %34.75.
