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40.606  Articles
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Students achievement in mathematics is often considered necessary for the success of the future of a country. Therefore, the training and preparation of students to do well in mathematics has become fundamental goal of educat ion for most countries and mo... see more

This study is among the first Canadian population-based evaluations designed to examine associations of the Triple P – Positive Parenting Program (Triple P) for mother and child outcomes at the community level. Uniquely, this study was conducted independe... see more

Multilevel data are data that are nested within the other data which are in the higher level. As an example is students are nested in the classes. The student is the level-1 variable and the class is the level-2 variable. Multilevel data are not restricte... see more

The purposes of this quasi-experimental study were to: (a) compile a solution set of ideas and idea categories that could be used to measure ideational fluency, flexibility, and originality of ideas for future research studies, and (b) measure and compare... see more

This study had three purposes and four hypotheses were tested. Three purposes: (1) To use hierarchical linear modeling (HLM) to investigate whether students’ perceptions of their engineering career intentions changed over time; (2) To use HLM to test the ... see more

Research on the consequences of organizational justice climate will still grow in the future, especially its cross-level impact on individual outcomes. This study examines the unique combined impact of a multi-foci distributive justice climate on trust in... see more

Strategic management research has demonstrated the importance of firm- and industry structure as drivers of firm profitability. However, less is known about how firms´ geographical locations affect profitability. Applying a multi-level approach of hierarc... see more

Strategic management research has demonstrated the importance of firm- and industry structure as drivers of firm profitability. However, less is known about how firms´ geographical locations affect profitability. Applying a multi-level approach of hierarc... see more

The use of linear mixed models for nested structure longitudinal data is called hierarchical linear modeling. This modeling takes into account the dependence of existing data within each level and between hierarchical levels. The process of modeling, esti... see more

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