Students are expected to participate in scheduled course modules, complete reading assignments, actively contribute to class discussions, and submit assignments on time. To benefit most from the course, students must complete required readings and online resource materials, complete the assignments, and participate in class activities. As such, you are expected to follow the social rules based on SJSU's Do's and Don'ts of Online Posts and ALA's Statement of Appropriate Conduct. The forum is a venue for learning, asking questions, agreeing, disagreeing, and admit uncertainty. Incomplete grades will not be granted except in extraordinary circumstances.ĭiscussion is an important element of this course, and will be used to explore the concepts presented in the reading. Extra-credit assignments are not available. The points for an assignment will be reducted by 5% for each day that the assignment is submitted after the due date. Late assignments ( submitted after midnight on the assigned date) will result in a reduction of points. If you have an illness ( medical documentation required) or family emergency, please contact the instructor. The schedule assumes that all coursework will be collected by midnight Pacific Standard Time (PST) on the assigned date. Sufficient notice will be provided for any change in due dates.ĭiscussion Initial Posts 2/21, 2/28, 3/7Īssignments are designed to accommodate students with a variety of work schedules and personal commitments. Due dates may change to accommodate class needs. The following table includes the course assignment points and due dates. Readings: Nonparametric Statistics Study Guide Readings: Small & Mardis, Ch11 Hypothesis Testing Study Guide Readings: Descriptive Statistics Study Guide Types of Data and Data Analysis Using Descriptive Statistics Readings: Small & Mardis: Scenario IV and Ch10 Scenario VI and Ch15-Document Reviewĭue: Discussion #1, #2, #3, and #4 Response Posts (3/15) Readings: Small & Mardis, Scenario II and Ch4 Connaway & Powell Ch 5, pp.170-182Ĭollecting Documents for Content Analysis & Discourse Analysis Readings: Small & Mardis: Scenario VIII and Ch19 Scenario VI and Ch15-Interviews Readings: Small & Mardis, Scenario III, Ch8, and Ch15-Direct ObservationsĬonnaway & Powell (Ch5, pp.178-183 Ch7, pp. Readings: Small & Mardis: Scenario I, Ch1, Ch2, and Ch3 Knowledge Assessment Activity Results How do data collection and analysis help us make evidence-based decisions? ![]() The majority of the assignments are due on Sunday at 11:59 PM (PT) unless otherwise noted. The schedule is subject to change based on class needs. The schedule represents an overview of the topics that will be covered. They will explore different types of evidence and how they inform decision-making. Students will apply what they learned in INFO 285: Applied Research Methods by comparing and contrasting different data collection and data analysis methods published in library and information science literature. Focus is on primary and secondary data collection methods as well as qualitative and quantitative data analysis methods. This course offers a practical introduction to data collection and analysis methods used by library and information science professionals to make evidence-based decisions. You will be enrolled in the Canvas site automatically. In that case, the class will open on the first day that the class meets. Other contact information: telephone: (843) 991-3346Ĭanvas Information: Courses will be available beginning January 27th, 6 am PT unless you are taking an intensive or a one-unit or two-unit class that starts on a different day. Topic: Collecting and Analysing Data for Evidence
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