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    Relationships between Cognitive Flexibility, Perceived Quality of Faculty Life, Learning Approaches, and Academic Achievement
    (Gate Assoc Teaching & Education-Gate, Switzerland, 2020) Toraman, Cetin; Ozdemir, Hasan Fehmi; Kosan, Aysen Melek Aytug; Orakci, Senol
    This study aims to explore the relationships between cognitive flexibility (CF), perceived quality of faculty life (PQFL), learning approaches (LA) and academic achievement (AA). This correlational comparison study was conducted with 1573 undergraduates at Ankara University. The data collection tools were Cognitive Flexibility Scale (CFS), Quality of Faculty Life Scale (QFLS) and Approaches to Learning Questionnaire (ALQ). Grade point average (GPA) was used as a measurement of AA. The three subscales of QFLS; satisfaction from faculty (SF), faculty members (SFM), and school climate and student relationships (SSCSR) were found positively correlated with deep approach to learning (DAL), CF and AA, and negatively correlated with surface approach to learning (SAL). DAL was also found positively correlated with CF and AA, but negatively correlated with SAL. CF and AA were positively correlated with all variables, except SAL. Although CF showed a positive correlation with AA, it assumed a negative explanatory role for AA when it was included in the model as a mediating variable. The regression estimates in the path analysis model revealed that DAL, SAL and SF were positive explanatory variables for AA, whereas SSCSR was a negative explanatory variable for AA and SAL was a negative explanatory variable for CF.
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    Öğe
    The use of polychoric and Pearson correlation matrices in the determination of construct validity of Likert type scales
    (Mehmet Tekerek, 2019) Ozdemir, Hasan Fehmi; Toraman, Cetin; Kutlu, Omer
    No matter how strong the theoretical infrastructure of a study is, if the measurement instruments do not have the necessary psychometric qualities, there will be a question of trust in interpreting the findings, and it will be inevitable to make wrong decisions with the results. One of the important steps in scale development/adaptation studies is to provide evidence of the experimental validity. In order to reveal evidence of construct validity of Likert type scales, to identify factor structures, to confirm previously predicted structures, factor analysis is used. The primary issue to be examined is the level of measurement of the variable and one of the leading decisions that must be taken is which relation matrix will be used. This descriptive research is based on the effects of using Pearson or polychoric correlation matrix in the factor analysis. It is determined that items showed different item-total correlations, loading values and correlation coefficients, different factor numbers emerged, different items were removed out of the scale, confirmation status of the structure has changed.