INFO 287-16
Seminar in Information Science
Topic: Collecting and Analysing Data for Evidence
Spring 2021 Syllabus

Dr. Renée Jefferson
Email

Other contact information: telephone: (843) 991-3346
Office Hours: Virtual, by appointment


Syllabus Links
Textbooks
CLOs
Competencies
Prerequisites
Resources
Canvas Login and Tutorials
iSchool eBookstore
 

Canvas 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. In that case, the class will open on the first day that the class meets.

You will be enrolled in the Canvas site automatically.

Course Description

This course offers a practical introduction to data collection and analysis methods used by library and information science professionals to make evidence-based decisions.  Focus is on primary and secondary data collection methods as well as qualitative and quantitative data analysis methods.  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.  They will explore different types of evidence and how they inform decision-making.

Course Requirements

Course Calendar

The schedule represents an overview of the topics that will be covered.  The schedule is subject to change based on class needs.  The majority of the assignments are due on Sunday at 11:59 PM (PT) unless otherwise noted.

Module/Date

Topic

Assignment/Due Date

1: Jan 25 – Jan 31

Introduction to the Course

Introduction to Your Classmates

Knowledge Assessment Activity

Due: Introduction-Part 1 (1/27, Wed)

Due: Introduction-Part 2 (1/31)

Due: Knowledge Assessment (1/31)

2: Feb 1 – Feb 7

How do data collection and analysis help us make evidence-based decisions?

Knowledge Assessment Activity

Professional Project Review

Readings: Small & Mardis: Scenario I, Ch1, Ch2, and Ch3;  Knowledge Assessment Activity Results

Due: Knowledge Assessment Activity (2/7)

Due: Professional Project Topic

3: Feb 8 – Feb 14

Collecting Data Using Observations

Readings: Small & Mardis, Scenario III, Ch8, and Ch15-Direct Observations

Connaway & Powell (Ch5, pp.178-183; Ch7, pp. 216-218)

Discussion #1: Initial Post (2/14)

Response post due 3/15.

4: Feb 15 – Feb 21

Collecting Data Using Surveys

Readings: Small & Mardis: Scenario VIII and Ch19; Scenario VI and Ch15-Interviews

Connaway & Powell (Ch4, pp.107-114)

Discussion #2: Initial Response (2/21)

Response post due 3/15.

5: Feb 22 – Feb 28

Collecting Data Using Interviews

Readings: Small & Mardis, Scenario II and Ch4; Connaway & Powell Ch 5, pp.170-182

Discussion #3: Initial Response (2/28)

Response post due 3/15.

6: Mar 1 – Mar 7

Collecting Documents for Content Analysis & Discourse Analysis

Readings: Small & Mardis: Scenario IV and Ch10; Scenario VI and Ch15-Document Review

Connaway & Powell, Ch 7, pp. 222-229

Discussion #4: Initial Response (3/7)

Response post due 3/15.

7: Mar 8 – Mar 14

 

Due: Discussion #1, #2, #3, and #4 Response Posts (3/15)

8: Mar 15 – Mar 28

Types of Data and Data Analysis Using Descriptive Statistics

Readings: Descriptive Statistics Study Guide

9: Mar 29 – Apr 4

Spring Recess

 

10: Apr 5 – Apr 11

 

Due: Descriptive Statistics Quiz (4/11)

11: Apr 12 – Apr 18

Data Analysis Using Hypothesis Testing

Readings: Small & Mardis, Ch11; Hypothesis Testing  Study Guide

12: Apr 19 – Apr 25

 

Due: Hypothesis Testing Quiz (4/25)

13: Apr 26 – May 2

Data Analysis Using Nonparametric Tests

Readings: Nonparametric Statistics Study Guide

14: May 3 – May 9

 

Due: Nonparametric Statistics Quiz (5/9)

15: May 10 – May 17

 

Due: Professional Project (May 17, Mon)

Grading

The following table includes the course assignment points and due dates.  Due dates may change to accommodate class needs.  Sufficient notice will be provided for any change in due dates.

Assignments

CLOs

Points

Due Dates

Introduction (Part 1 & Part 2)

 

5

1/27, 1/31

Knowledge Assessment Activity

#1, #3

5

2/7

Discussion Initial Posts (4@5pts)

#1

20

2/14, 2/21, 2/28, 3/7

Discussion Response Posts (4@5pts)

#1, #2

20

3/15

Quizzes (3@10pts)

#3, #4

30

4/11, 4/25, 5/2

Professional Project

#1, #2, #3, #4

20

5/9

Total

 

100

 

Late Assignment Policy

Assignments are designed to accommodate students with a variety of work schedules and personal commitments. The schedule assumes that all coursework will be collected by midnight Pacific Standard Time (PST) on the assigned  date. If you have an illness (medical documentation required) or family emergency, please contact the instructor.  Late assignments (submitted after midnight on the assigned date) will result in a reduction of points.  The points for an assignment will be reducted by 5% for each day that the assignment is submitted after the due date.  Extra-credit assignments are not available.  Incomplete grades will not be granted except in extraordinary circumstances.

Other Relevant Information:

Discussion is an important element of this course, and will be used to explore the concepts presented in the reading.  The forum is a venue for learning, asking questions, agreeing, disagreeing, and admit uncertainty.  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.

Course Workload Expectations:

To benefit most from the course, students must complete required readings and online resource materials, complete the assignments, and participate in class activities.  Students are expected to participate in scheduled course modules, complete reading assignments, actively contribute to class discussions, and submit assignments on time. 

Success in this course is based on the expectation that for each unit of credit, students will spend a minimum of 45 hours over the length of the course (i.e., 3 hours per unit, per week, with one of the hours used for lecture) for instruction, preparation/studying, or course related activities including but not limited to internships, labs, and clinical practica.  Other course structures will have equivalent workload expectations as described in the syllabus.

Instructional time may include, but is not limited to the following: (1) working on posted modules or lessons prepared by the instructor; (2) discussion forum interactions with the instructor and/or other students; (3) getting feedback from the instructor; and (4) attending office hours or other synchronous sessions with the instructor.

Course Workload Expectations

Success in this course is based on the expectation that students will spend, for each unit of credit, a minimum of forty-five hours over the length of the course (normally 3 hours per unit per week with 1 of the hours used for lecture) for instruction or preparation/studying or course related activities including but not limited to internships, labs, clinical practica. Other course structures will have equivalent workload expectations as described in the syllabus.

Instructional time may include but is not limited to:
Working on posted modules or lessons prepared by the instructor; discussion forum interactions with the instructor and/or other students; making presentations and getting feedback from the instructor; attending office hours or other synchronous sessions with the instructor.

Student time outside of class:
In any seven-day period, a student is expected to be academically engaged through submitting an academic assignment; taking an exam or an interactive tutorial, or computer-assisted instruction; building websites, blogs, databases, social media presentations; attending a study group;contributing to an academic online discussion; writing papers; reading articles; conducting research; engaging in small group work.

Course Prerequisites

INFO 200, other prerequisites may be added depending on content. 

Course Learning Outcomes

Upon successful completion of the course, students will be able to:

  1. Demonstrate knowledge of data collection methods and their use in making evidence-based decisions.
  2. Compare and contrast data collection methods used in library and information science research.
  3. Demonstrate knowledge of data analysis methods and their use in making evidence-based decisions.
  4. Compare and contrast data analysis methods used in library and information science research.

Core Competencies (Program Learning Outcomes)

INFO 287 supports the following core competencies:

  1. L Demonstrate understanding of quantitative and qualitative research methods, the ability to design a research project, and the ability to evaluate and synthesize research literature.

Textbooks

Required Textbooks:

  • Small, R. V., & Mardis, M. A. (2018). Research methods for librarians and educators: Practical applications in formal and informal learning environments. Santa Barbara, CA: Libraries Unlimited. Available through Amazon: B07CGMR7Q6arrow gif indicating link outside sjsu domain

Grading Scale

The standard SJSU School of Information Grading Scale is utilized for all iSchool courses:

97 to 100 A
94 to 96 A minus
91 to 93 B plus
88 to 90 B
85 to 87 B minus
82 to 84 C plus
79 to 81 C
76 to 78 C minus
73 to 75 D plus
70 to 72 D
67 to 69 D minus
Below 67 F

 

In order to provide consistent guidelines for assessment for graduate level work in the School, these terms are applied to letter grades:

  • C represents Adequate work; a grade of "C" counts for credit for the course;
  • B represents Good work; a grade of "B" clearly meets the standards for graduate level work;
    For core courses in the MLIS program (not MARA or Informatics) — INFO 200, INFO 202, INFO 204 — the iSchool requires that students earn a B in the course. If the grade is less than B (B- or lower) after the first attempt you will be placed on administrative probation. You must repeat the class if you wish to stay in the program. If - on the second attempt - you do not pass the class with a grade of B or better (not B- but B) you will be disqualified.
  • A represents Exceptional work; a grade of "A" will be assigned for outstanding work only.

Students are advised that it is their responsibility to maintain a 3.0 Grade Point Average (GPA).

University Policies

Per University Policy S16-9, university-wide policy information relevant to all courses, such as academic integrity, accommodations, etc. will be available on Office of Graduate and Undergraduate Programs' Syllabus Information web page at: https://www.sjsu.edu/curriculum/courses/syllabus-info.php. Make sure to visit this page, review and be familiar with these university policies and resources.

In order to request an accommodation in a class please contact the Accessible Education Center and register via the MyAEC portal.

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