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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Micro-influencers’ impact on engagement levels for fashion retail brands on Instagram

Quiterio Capeli, Marilia 01 January 2019 (has links)
With the increase of social media usage and its relevance for the millennial generation, social media influencers rise as credible sources who influence their followers purchase behaviors. Micro-influencers have up to 400,00 followers and fashion brands are constantly collaborating with them to generate brand awareness. The purpose of this study is to analyze how micro-influencers impact engagement levels on fashion retail brands’ accounts on Instagram and what common visual patterns the posts with higher levels of engagement present. A sample of 817 posts from three different brands were analyzed to provide insight in what kind of posts generates higher engagement levels: motivational posts, product posts, model/catalog, micro-influencer, influencer, or none of the above. A content analysis was conducted and after all the posts were coded, the top 100 with the highest engagement levels were submitted to a frame analysis so common patterns and themes could be recognized among the top engagement posts.
2

A look at engagement strategies that promote persistence and retention of entering students at the Community College of Qatar

Tamimi, Abdulnassir 03 November 2011 (has links)
According to Tinto (2000a), institutions have fewer retention and persistence problems when their students are not only academically prepared, but are also engaged on campus as well as satisfied with the resources and support provided by the college. A student that has a positive first semester experience is more likely to achieve academic success and re-enroll the following term. The purpose of this study was to explore the differences in experiences, perceptions, expectations, and engagement levels of entering male versus female students and returning male versus returning female students at the gender-segregated Community College of Qatar during the first three to six weeks at the college. The study also attempted to determine if any student support services such as advising, tutoring, counseling, new student orientation program, and participation in student activities were useful and had any influence in promoting student engagement. Data were analyzed using descriptive statistics. For entering male and female students survey responses were classified using questions from five Survey of Entering Student Engagement (SENSE) benchmarks: (1) Engaged Learning (2) Early Connections (3) Clear Academic Plan and Pathway (4) Academic and Social Support Network and (5) Effective Track to College Readiness. While questions from four Community College Survey of Student Engagement (CCSSE) benchmarks: (1) Active and Collaborative Learning (2) Student Effort (3) Support for Learners (4) Student-Faculty Interaction were used for returning male and female students. One-Sample t-tests were run to determine if significant differences in engagement levels existed between the four independent groups for each of the benchmark categories. Cohen’s d calculations were used to measure the effect size and the standardized differences between the means of the variables. For the purpose of this study, Cohen’s d effect size of 0.35 or higher was used as the criteria for interpreting statistically significance. The results of this study revealed entering and returning female students reported statistically higher engagement levels than entering and returning male students in most of the variables indicating that they are more likely to utilize student support services at higher frequencies and have a more positive first semester experience than their counterparts. / text

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