Steven Eric Krauss

TL;DR: In this paper, the authors introduce the concept of meaning making in research methods and look at how meaning is generated from qualitative data analysis specifically, and some examples from the literature of how meaning can be constructed and organized using a qualitative Data Analysis approach are provided.

TL;DR: The authors explored how novice researchers perceive themselves as being the research instrument in the process of gaining interviewing experience, and found that the most appropriate informants of such a study would be novice researchers who might be more prone to be influenced by their own subjectivity, or at least less aware of it than seasoned researchers.

TL;DR: Several recommendations are highlighted related to conducting more qualitative studies, to have specific and a standard systematic review method for guide research synthesis in context of climate change adaptation and to practice complimentary searching techniques such as citation tracking, reference searching, snowballing and contacting experts.

TL;DR: In this paper, a meta-analysis of zero-order correlations reported in the findings of 31 studies (37 samples, n = 14,318) was performed, and correlations between the constructs in the TPB model and SEI were scrutinized through the application of meta-analytic structural equation modeling (MASEM) based on a pooled correlation matrix.

TL;DR: A brief measure of Y–AP that is explicitly grounded in current theory, research, and community practice is developed and concluded that the measure has the potential to support community efforts to maximize the quality of youth programs.