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Direct linkBash, Kirstie L.; Howell Smith, Michelle C.; Trantham, Pam S. – Journal of Mixed Methods Research, 2021
The use of advanced quantitative methods within mixed methods research has been investigated in a limited capacity. In particular, hierarchical linear models are a popular approach to account for multilevel data, such as students within schools, but its use and value as the quantitative strand in a mixed methods study remains unknown. This article…
Descriptors: Hierarchical Linear Modeling, Mixed Methods Research, Research Design, Statistical Analysis
Evers, Arne; McCormick, Carina M.; Hawley, Leslie R.; Muñiz, José; Balboni, Giulia; Bartram, Dave; Boben, Dusica; Egeland, Jens; El-Hassan, Karma; Fernández-Hermida, José R.; Fine, Saul; Frans, Örjan; Gintiliené, Grazina; Hagemeister, Carmen; Halama, Peter; Iliescu, Dragos; Jaworowska, Aleksandra; Jiménez, Paul; Manthouli, Marina; Matesic, Krunoslav; Michaelsen, Lars; Mogaji, Andrew; Morley-Kirk, James; Rózsa, Sándor; Rowlands, Lorraine; Schittekatte, Mark; Sümer, H. Canan; Suwartono, Tono; Urbánek, Tomáš; Wechsler, Solange; Zelenevska, Tamara; Zanev, Svetoslav; Zhang, Jianxin – International Journal of Testing, 2017
On behalf of the International Test Commission and the European Federation of Psychologists' Associations a world-wide survey on the opinions of professional psychologists on testing practices was carried out. The main objective of this study was to collect data for a better understanding of the state of psychological testing worldwide. These data…
Descriptors: Testing, Attitudes, Surveys, Psychologists
