To assess the quality of different aspects of the learning outcomes in relation to knowledge requirements as results of teaching several assessment methods have to be used. For most teachers it is also obvious that students differ in their ability to demonstrate the learning outcome depending on the assessment method used. In order to compare different assessment methods of the learning outcome of pre-school teacher students’ different types of tasks were evaluated and compared in order to identify the potential of each method to give the students fair chances of showing their skills. Thus, assessments based on multiple choice questionnaires of different types, long answer questions, practical laboratory experiments, experiment construction and the students ability to evaluate experiment plans were compared. Having Swedish as mother tongue also was included as an explanatory variable since we suspected that some of the assessment methods in reality rather evaluates the linguistic skills in interpreting texts rather than evaluating the content knowledge of the subject. The results for each student when different methods were used were compared in order to evaluate if some of the methods for assessment gave similar results or if the methods induced differences in the results for the same student. We use ordination techniques to assess and visualize main trends in the data and linear models and classification trees to evaluate specific associations. There is correlation between results from several assessment methods, there are positive correlation between combinations of results from long answers, experiment and experiment construction, meaning students who showed good results with one method did so also with the others - but in some comparisons like long answer questions and multiple choice questions good results were independent of each other. There was a negative effect of having a non-Swedish mother tongue on the results in multiple choice questionnaires, but a positive effect of a non-Swedish mother tongue on the combined scores on experimental construction and experiment. Linear models show that good achievements in experimental construction are explained by high summed scores of Doll´s criteria, the four R’s richness, recursion, relations, and rigor.