Yazar "Şahin, Melek Gülşah" seçeneğine göre listele

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    Adaptation of the Environmental Worry Index into Turkish: A Validity and Reliability Study on Teacher Candidates
    (Kastamonu University, 2024) İlhan, Mustafa; Gezer, Melehat; Şahin, Melek Gülşah
    Purpose: In the present research, it was aimed to adapt the Environmental Worry Index (EWI) developed by Oguntayo et al. (2023) into Turkish. Methodology: The study was conducted with the participation of 508 teacher candidates. Exploratory graph analysis (EGA), exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were performed for the validity studies. The reliability of the measurements collected via the Turkish form of the scale was examined via the Cronbach's alpha internal consistency coefficient. Corrected item total correlations were calculated for item discrimination, and Ferguson Delta was computed to provide a discrimination index for the entire scale. Findings: The EGA outputs and the results of parallel analysis run within the scope of EFA revealed a single-factor structure unlike the two-dimensional original form of the scale. In EFA, the variance explained for the single-factor solution was determined as 45.80% and the factor loadings ranged between .44 and .80. The CFA results showed that the fit indices for the unidimensional model were within the recommended limits and the factor loadings of the items varied between .41 and .71. Cronbach’s alpha coefficient was estimated as .84 and corrected item total correlations ranged between .36 and .62. The Ferguson’s delta statistic, on the other hand, was found to be .95. Highlights: The results obtained provide evidence that the measurements collected through the Turkish form of the EWI have adequate psychometric properties.
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    The effect of the item’s type and cognitive level on its difficulty index: The sample of timss 2015
    (Özgen Korkmaz, 2020) İlhan, Mustafa; Öztürk, Nagihan Boztunç; Şahin, Melek Gülşah
    In this research, the effect of an item’s type and cognitive level on its difficulty index was investigated. The data source of the study consisted of the responses of the 12535 students in the Turkey sample (6079 and 6456 students from eighth and fourth grade respectively) of TIMSS 2015. The responses were a total of 215 items at the eighth-grade level (115 multiple-choice and 100 open-ended) and 178 items at the fourth grade level (93 multiple-choice and 85 open-ended) in the mathematics test. In the present study, the difficulty indices for the items of different types and cognitive level were calculated firstly. Then, the item type was defined as a dummy variable and multiple regression analysis was applied to test for the predictive effect of the type and cognitive level of the items on its difficulty index. In the study, it was determined that both the type and the cognitive level of the item had a statistically significant effect on its difficulty index. Compared to multiple choice items, it was detected that students had more difficulty in open-ended items. The effect of item type on difficulty index was found to be higher in eighth grade items than the fourth-grade ones. It was ascertained that difficulty index moved toward zero as its cognitive level increased at both grade levels. However, the effect of cognitive level on the difficulty index was higher in the fourth-grade items compared to the eighth grade items.
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    A Study on the Use of the Rasch Model in the Analysis of Data Collected by Ranking Judgments
    (2024) İlhan, Mustafa; Şahin, Melek Gülşah; Güler, Neşe
    This research aimed to exemplify the use of the Rasch model in the analysis of data on ranking judgments. To this end, in the study, we delineated in detail all the processes related to the Rasch analysis, from the preparation of the data file to the interpretation of the analysis outputs. Besides, we compered the Rasch analysis results with the outputs obtained from traditional method. We conducted our study on 261 secondary school students. We collected the research data by employing an instrument containing five stimuli regarding the positive aspects and limitations of the mathematics homework. We asked students to rank the positive aspects of the homework by coding the most prominent advantage with 1 and the last advantage with 5. Similarly, we requested them to put in order the limitations of the homework by coding the foremost limitation with 1 and the last limitation with 5. We analyzed the research data ac-cording to both the Rasch model and traditional method. Research results revealed that the agreement between the stimuli’s scale values obtained from the Rasch analysis and from the traditional method was high. Considering this result and that the Rasch model is a more practical option in terms of the analysis process, we can suggested researchers to prefer Rasch model instead of the traditional method in the analysis of data based on ranking judgments.