Of the many potential and espoused outcomes of higher education, it was satisfaction that rose to prominence for Alexander Astin, stating, “it is difficult to argue that student satisfaction can be legitimately subordinated to any other education outcome” (1993, p. 273). This high endorsement of the construct of satisfaction is backed by a plethora of arguments of its importance for college and university decision makers. A thorough and accurate rendering of student satisfaction measurement is requisite. To calculate student satisfaction as the magnitude of item endorsement leaves a measure that is sample specific. The goal of a universal and unidimensional measure is only advanced by determining which items do or do not contribute to a model of linearity and unidimensionality. This research utilizes the Rasch model to advance exploration of the variable of student satisfaction. Using data collected from the Noel-Levitz Student Satisfaction Inventory, analysis was conducted to determine if reported ascribed importance and experienced satisfaction adhered to the assumption of the Rasch model. Results suggest that student satisfaction and ascribed importance do adhere to these assumptions of measurement, but only after ordinal rankings of dissatisfaction are collapsed into a single entity. The determined separation of satisfaction and dissatisfaction likens Herzberg’s Motivation-Hygiene Theory. Additional discussion and implications focus on contrasting analysis when applying the Rasch analysis relative to classical test theory, recommendations of modified instrument scaling to better capture the construct, implications for higher education, and heightened understanding of student satisfaction as a whole.

The purpose of this study was to understand undergraduate students’ attitudes about search data privacy in academic libraries and their preferences for how librarians should handle information about what students search for, borrow, and download. This is an important area of study due to the increasingly data-driven nature of evaluation, accountability, and improvement in higher education, along with libraries’ professional commitment to privacy, which has historically limited the amount of data collected about student use. Using a qualitative approach through the lens of interpretive description, I used the constant comparative method of data collection and analysis to conduct semi-structured interviews with 27 undergraduate students at a large, urban public research institution. Through inductive coding, I organized the data into interpretive themes and subthemes to describe students’ attitudes, and developed a conceptual/thematic description that illustrates how they are formed. Students revealed that a variety of life experiences and influences shaped their views on search data privacy in academic libraries. They viewed academic library search data as less personally revealing than internet search data. As a result, students were generally comfortable with libraries collecting search data so long as it is used for their benefit. They were comfortable with data being used to improve library collections and services, but were more ambivalent about use of search data for personalized search results and for learning analytics-based assessment. Most students expressed a desire for de-identification and user control of data. Some students expressed concern about search data being used in ways that reflect bias or favoritism. Participants had moderate concern about their library search data privacy being used by government agencies to protect public safety. Although some disagreed with the practice in concept, most did not feel that the search data would be useful, nor would it reveal much about their personal interests or selves. Students who were not comfortable with the idea of search data collection in academic libraries often held their convictions more strongly than peers who found the practice acceptable. The results of this study suggest that academic libraries should further explore student perspectives about search data collection in academic libraries to consider how and if they might adjust their data collection practices to be respectful of student preferences for privacy, while still meeting evaluation and improvement objectives. This study achieved the intended purpose of contributing a foundational body of knowledge about student attitudes regarding search data privacy in academic libraries. It positions librarian-researchers to develop studies that further this line of inquiry in an area that has significant implications for both user privacy and libraries’ practices for assessment and evaluation. Limitations of this study include its limited generalizability as a result of the qualitative research design, and the fact that it relied primarily on a convenience sampling method.

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In today's classrooms, many teachers meet students' reading needs by providing guided reading. However, little is known about how teachers combine student data and pedagogical content knowledge to plan guided readings lessons. This study focused on understanding how elementary teachers use guided reading pedagogical content knowledge and student data when planning a guided reading lesson. The conceptual framework was based on Fountas and Pinnell's guided reading framework, and Clay's theory of data collection with respect to literacy processing. The research questions concerned how teachers' use, guide, and reflect on guided reading pedagogical content knowledge and students data when planning a guided reading lesson. A qualitative study using both phenomenological and case study aspects was utilized to capture insights of elementary teachers from a successful Title 1 school. This study included a single elementary school. Participants included 10 elementary teachers from grades K-5. Data sources included introductory and follow-up teacher interviews as well as teacher lesson plans. Data were analyzed using coding for identification of patterns. The findings revealed that teachers believe their success lies in searching for the right books use to differentiate their guided reading instruction based on each student's individual data. They also believe their success comes from providing background knowledge to students when teaching guided reading lessons to pique their students interest and help them better understand what they are reading. This study can contribute to positive social change by providing administration insights to how to prepare high quality professional development to help teachers plan guided reading lessons.

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