Measuring Changes in Hydrolysis Concept of Students Taught by Inquiry Model: Stacking and Racking Analysis Techniques in Rasch Model
Laliyo, L.A.R., Sumintono, B. and Panigoro, C. (2022). Measuring Changes in Hydrolysis Concept of Students Taught by Inquiry Model: Stacking and Racking Analysis Techniques in Rasch Model, HELIYON, 8(3) : e09126 https://doi.org/10.1016/j.heliyon.2022.e09126.
A B S T R A C T
This research aimed to employ stacking and racking analysis techniques in the Rasch model to measure the hydrolysis conceptual changes of students taught by the process-oriented guided inquiry learning (POGIL) model in the context of socio-scientific issues (SSI) with the pretest-posttest control group design. Such techniques were based on a person- and item-centered statistic to determine how students and items changed during interventions. Eleventh-grade students in one of the top-ranked senior high schools in the eastern part of Indonesia were involved as the participants. They provided written responses (pre- and post-test) to 15 three-tier multiple-choice items. Their responses were assessed through a rubric that combines diagnostic measurement and certainty of response index. Moreover, the data were analyzed following the Rasch Partial Credit Model, using the WINSTEPS 4.5.5 software. The results suggested that students in the experimental group taught by the POGIL approach in the SSI context had better positive conceptual changes than those in the control class learning with a conventional approach. Along with the intervention effect, in certain cases, it was found that positive conceptual changes were possibly due to student guessing, which happened to be correct (lucky guess), and cheating. In other cases, students who experienced negative conceptual changes may respond incorrectly due to carelessness, the boredom of problem-solving, or misconception. Such findings have also proven that some students tend to give specific responses after the intervention in certain items, indicating that not all students fit the intervention. Besides, stacking and racking analyses are highly significant in detailing every change in students’ abilities, item difficulty levels, and learning progress.
Menjadi Feminis Muslim
Nurmila, N. (2022). Menjadi Feminis Muslim [On Being Muslim Feminist] (ed.). Bandung: Afkaruna.
Online Mental Health Survey for Addressing Psychosocial Condition During the COVID-19 Pandemic in Indonesia: Instrument Evaluation.
Sunjaya, D.K., Sumintono, B., Gunawan, E., Herawati, D.M.D., and Hidayat, T. (2022). Online Mental Health Survey for Addressing Psychosocial Condition During the COVID-19 Pandemic in Indonesia: Instrument Evaluation. Psychology Research and Behavior Management, 15, pp.161-170. https://doi.org/10.2147/PRBM.S347386
Background: Regular monitoring of the pandemic’s psychosocial impact could be conducted among the community but is limited through online media. This study aims to evaluate the self-rating questionnaire commonly used for online monitoring of the psychosocial
implications of the coronavirus disease 2019 (COVID-19) pandemic.
Methods: The data were taken from the online assessment results of two groups, with a total of 765 participants. The instruments studied were Self-Rating Questionnaire (SRQ-20), posttraumatic stress disorder (PTSD), and Center for Epidemiological Studies Depression Scale-
10 (CESD-10), used in the online assessment. Data analysis used Rasch modeling and Winsteps applications. Validity and reliability were tested, and data were fit with the model, rating scale, and item fit analysis.
Results: All the scales for outfit mean square (MnSq) were very close to the ideal value of 1.0, and the Chi-square test was significant. Item reliability was greater than 0.67, item separation was greater than 3, and Cronbach’s alpha was greater than 0.60; all the instruments
were considered very good. The raw variance explained by measures for the SRQ-20, PTSD, and CESD-10 was 30.7%, 41.6%, and 47.6%, respectively. The unexplained eigenvalue variances in the first contrast were 2.3, 1.6, and 2.0 for the SRQ-20, PTSD, and CESD-
10, respectively. All items had positive point-measure correlations.
Conclusion: The internal consistency of all the instruments was reliable. Data were fit to the model as the items were productive for measurement and had a reasonable prediction. All the scales are functionally one-dimensional.