Applying structural equation modelling to suggested statistics and information outcomes- attitudes model: a case of Sulaimani University statistics and information students

Abstract EN

Structural Equation Modelling SEM is widely and highly used as statistical techniques in both social sciences and behavioural sciences.

The purpose of this study is to determine the effect of students' attitude and perceptions with its variables (Enjoyment value, self-concept of student's abilities, Value, Difficulty, and Interest) on their statistics outcome using Structural Equation Modelling STM.

Quantitative method was used; the data was collected from the students in statistics and information department at the college of administration and economic in the University of Sulaimani.

190 students at level (1, 2, 3, and 4) were randomly selected in which 156 questionnaires were returned.

The response rate was 82.10% .

It can be concluded that not all the hypothesis were confirmed and as well they were not statistically significant.

Thus, firstly, a positive relationship was found between behaviour, difficulty and statistics-outcome, and value was found to not be a significant predictor of statistics-outcome in the structure equation model (SEM).

These findings illustrate that increasing behavior also increase statistics-outcome.

It is an expected situation that students who have a good behavior for statistics also have high levels of outcome of statistics.

On the other hand, statistically there were no significant relationships between (Enjoyment value, self-concept, Interest) with statistical outcome.

Moreover, there were significant relationship between (Difficulty, statistics attitudes) with statistics-outcome because the p-value were less than the common alpha 0.05 and the coefficient of statistics attitudes is (0.672).

This indicates that for every addition in statistics attitudes, the statistics outcome will be increased by (0.672).