Using Rank-Order Judgments Scaling for Political Tactics Used by Teachers and School Principals

Özdemir, Gökçe

doi:10.14689/ejer.2021.93.1

Cited by 2 publications

(1 citation statement)

References 5 publications

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“…When we reviewed the literature, we realized that the analyses were carried out in Microsoft Excel on the grounds the traditional method in studies in which the scaling with ranking judgments was utilized (e.g., Bal, 2011;Bozgeyikli and Kesici, 2016;Bozgeyikli and Toprak, 2013;Demirçelik et al, 2021;Gezer and İlhan, 2018;Örs Özdil and Kınay, 2015;Özdemir, 2021;Şahin et al, 2015;Şahin, Sarkın and Taşdemir, 2019;Toprak et al 2020;Yalçın and Şengül-Avşar, 2014;Yıldırım, Seheryeli and Anıl, 2020). A multi-step process is followed while the data collected by means of the ranking judgments are analyzed according to traditional method in Microsoft Excel.…”

Section: Analysis Of Data Collected By Ranking Judgmentsmentioning

confidence: 99%

A Study on the Use of the Rasch Model in the Analysis of Data Collected by Ranking Judgments

İlhan,

Şahin,

Güler

2024

kalem

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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 according 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.

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Section: Analysis Of Data Collected By Ranking Judgmentsmentioning

confidence: 99%

A Study on the Use of the Rasch Model in the Analysis of Data Collected by Ranking Judgments

İlhan,

Şahin,

Güler

2024

kalem

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Chance in Career Choice: A Rank-Ordering Study

Görgülü

Bozgeyikli

2022

OPUS Toplum Araştırmaları Dergisi

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This study attempts to investigate the position of chance among the factors affecting the career choices of university students according to gender and willingness. For this purpose, the present study based on rank-order judgments of participants was conducted. In present study, the participants (N = 417) ranked the given ten factors in terms of their perceived impact on university department choices. Further, the participants were asked to describe the chance events they experienced related to career choice. The results showed that 28% of the participants stated that chance plays a role in their career choice. Among the factors affecting career choices, chance ranked seventh in the total sample, sixth in females, eighth in males, eighth in those who chose the department willingly, and third in those chose the department unwillingly by the degree of perceived influence. Overall, these results indicate that chance events were prioritized over others such as family demands, friend opinions and media effect. The findings were discussed and implications for career counselling were presented.

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Using Rank-Order Judgments Scaling for Political Tactics Used by Teachers and School Principals

Cited by 2 publications

References 5 publications

A Study on the Use of the Rasch Model in the Analysis of Data Collected by Ranking Judgments

A Study on the Use of the Rasch Model in the Analysis of Data Collected by Ranking Judgments

Chance in Career Choice: A Rank-Ordering Study

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