<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Jewelle V. Olarte</style></author><author><style face="normal" font="default" size="100%">Eddie G. Fetalvero</style></author><author><style face="normal" font="default" size="100%">Garry Vanz V. Blancia</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">CONSENSUS CLASSROOM CLIMATE INVENTORY: SCALE DEVELOPMENT AND VALIDATION</style></title><secondary-title><style face="normal" font="default" size="100%">Problems of Education in the 21st Century</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">consensus classroom climate</style></keyword><keyword><style  face="normal" font="default" size="100%">factor analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">reliability test</style></keyword><keyword><style  face="normal" font="default" size="100%">scale development</style></keyword><keyword><style  face="normal" font="default" size="100%">validity test</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2024</style></year><pub-dates><date><style  face="normal" font="default" size="100%">October/2024</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://oaji.net/articles/2023/457-1728583869.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">82</style></volume><pages><style face="normal" font="default" size="100%">Continuous</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Science education is a key area of research, largely due to its inherent complexity and challenges. Various teaching methods have been developed to address these difficulties, which include the consensus classroom climate. However, no standardized tool has been created to evaluate the consensus within a classroom. This study aimed to develop and validate the Consensus Classroom Climate Inventory (CCCI), an instrument designed to measure the consensus climate of a classroom. The research was conducted in two phases: (1) initial item pool development based on an extensive literature review and (2) expert panel review for content validation. The resulting 29-item scale was pilot-tested with 120 freshmen students from a state university.  Exploratory factor analysis using SMART-PLS yielded four distinct factors: Student Agency, Collaborative Learning Environment, Inclusive and Flexible Learning, and Student Autonomy. The final scale consisted of 23 items. Confirmatory factor analysis demonstrated strong factor loadings (&gt;0.8) for all items, indicating good construct validity.  Model fit indices suggested a generally good fit, though some indices indicated room for improvement. Reliability analysis revealed high internal consistency across all factors. The CCCI shows promise as a reliable and valid tool for assessing consensus classroom climate, though further refinement is recommended to enhance model fit. This instrument can assist educators in evaluating the consensus climate of Science classrooms and help educators enhance teaching to improve students’ Science learning. </style></abstract><issue><style face="normal" font="default" size="100%">5</style></issue><work-type><style face="normal" font="default" size="100%">Original article</style></work-type><section><style face="normal" font="default" size="100%">708-722</style></section></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Andie Tangonan Capinding</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">CONSTRUCTION AND VALIDATION OF MATHEMATICAL SATISFACTION QUESTIONNAIRE: AN EXPLORATORY AND CONFIRMATORY FACTOR ANALYSIS</style></title><secondary-title><style face="normal" font="default" size="100%">Problems of Education in the 21st Century</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Item measurement</style></keyword><keyword><style  face="normal" font="default" size="100%">mathematical satisfaction</style></keyword><keyword><style  face="normal" font="default" size="100%">reliability test</style></keyword><keyword><style  face="normal" font="default" size="100%">validity test</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2023</style></year><pub-dates><date><style  face="normal" font="default" size="100%">June/2023</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://oaji.net/articles/2023/457-1687425080.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">81</style></volume><pages><style face="normal" font="default" size="100%">Continuous</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Mathematics satisfaction can drive students to work harder in math class. Thus, it is vital to assess the satisfaction of learners using an instrument to intervene in the teaching and learning process. There are research studies that have independently developed questionnaires to measure students' mathematics satisfaction, but most of them focused on students' satisfaction with mathematical resources and online mathematics courses. Thus, previously developed instruments had limitations. The purpose of this study was to develop and validate a mathematical satisfaction questionnaire for students. Face validation, content validation, exploratory factor analysis, confirmatory factor analysis, and reliability testing were used in the study to construct and validate the instrument. The initial draft of the mathematical satisfaction questionnaire has 44 items divided into five categories: skill, real-life, academic, praise, and task completion. The study's sample included 317 students from the Nueva Ecija University of Science and Technology – Gabaldon campus. The content validity of the test was assessed by ten instructors and professors using Aiken's V technique. The construct validity was examined using exploratory and confirmatory factor analysis. Aiken's V coefficient ranged from 0.73-0.87, which is adequate for the content validity index. Every construct has an acceptable reliability coefficient. Eight items were removed following EFA. Construct validation confirmed 36 items distributed among the five mathematical satisfaction constructs. The final instrument is reliable and can be used to assess students' mathematical satisfaction.</style></abstract><issue><style face="normal" font="default" size="100%">3</style></issue><work-type><style face="normal" font="default" size="100%">Original article</style></work-type><section><style face="normal" font="default" size="100%">327-339</style></section></record></records></xml>