SOC DATA ANALYSIS IN SOCIAL RESEARCH SECTION CRN # COURSE SYLLABUS: SPRING 2015

Similar documents
EDCI 699 Statistics: Content, Process, Application COURSE SYLLABUS: SPRING 2016

STA2023 Introduction to Statistics (Hybrid) Spring 2013

Accounting 312: Fundamentals of Managerial Accounting Syllabus Spring Brown

CSCI 333 Java Language Programming Fall 2017 INSTRUCTOR INFORMATION COURSE INFORMATION

Class Mondays & Wednesdays 11:00 am - 12:15 pm Rowe 161. Office Mondays 9:30 am - 10:30 am, Friday 352-B (3 rd floor) or by appointment

Course Syllabus Advanced-Intermediate Grammar ESOL 0352

Course Syllabus p. 1. Introduction to Web Design AVT 217 Spring 2017 TTh 10:30-1:10, 1:30-4:10 Instructor: Shanshan Cui

Foothill College Summer 2016

Business Computer Applications CGS 1100 Course Syllabus. Course Title: Course / Prefix Number CGS Business Computer Applications

ADMN-1311: MicroSoft Word I ( Online Fall 2017 )

FIN 571 International Business Finance

Page 1 of 8 REQUIRED MATERIALS:

SYLLABUS. EC 322 Intermediate Macroeconomics Fall 2012

Spring 2014 SYLLABUS Michigan State University STT 430: Probability and Statistics for Engineering

The University of Texas at Tyler College of Business and Technology Department of Management and Marketing SPRING 2015

MATH 1A: Calculus I Sec 01 Winter 2017 Room E31 MTWThF 8:30-9:20AM

SYLLABUS: RURAL SOCIOLOGY 1500 INTRODUCTION TO RURAL SOCIOLOGY SPRING 2017

Course Content Concepts

Spring 2015 IET4451 Systems Simulation Course Syllabus for Traditional, Hybrid, and Online Classes

ITSC 1301 Introduction to Computers Course Syllabus

Class Tuesdays & Thursdays 12:30-1:45 pm Friday 107. Office Tuesdays 9:30 am - 10:30 am, Friday 352-B (3 rd floor) or by appointment

State University of New York at Buffalo INTRODUCTION TO STATISTICS PSC 408 Fall 2015 M,W,F 1-1:50 NSC 210

MAT 122 Intermediate Algebra Syllabus Summer 2016

Scottsdale Community College Spring 2016 CIS190 Intro to LANs CIS105 or permission of Instructor

STUDENT MOODLE ORIENTATION

PSCH 312: Social Psychology

COURSE WEBSITE:

Class Numbers: & Personal Financial Management. Sections: RVCC & RVDC. Summer 2008 FIN Fully Online

Instructor: Matthew Wickes Kilgore Office: ES 310

ACC : Accounting Transaction Processing Systems COURSE SYLLABUS Spring 2011, MW 3:30-4:45 p.m. Bryan 202

CIS Introduction to Digital Forensics 12:30pm--1:50pm, Tuesday/Thursday, SERC 206, Fall 2015

SYLLABUS- ACCOUNTING 5250: Advanced Auditing (SPRING 2017)

Office Hours: Mon & Fri 10:00-12:00. Course Description

POFI 1349 Spreadsheets ONLINE COURSE SYLLABUS

SOUTHWEST COLLEGE Department of Mathematics

PreAP Geometry. Ms. Patricia Winkler

Ryerson University Sociology SOC 483: Advanced Research and Statistics

CIS 121 INTRODUCTION TO COMPUTER INFORMATION SYSTEMS - SYLLABUS

ITSC 2321 Integrated Software Applications II COURSE SYLLABUS

Office Location: LOCATION: BS 217 COURSE REFERENCE NUMBER: 93000

CHEM 1105: SURVEY OF GENERAL CHEMISTRY LABORATORY COURSE INFORMATION

AU MATH Calculus I 2017 Spring SYLLABUS

ACCT 100 Introduction to Accounting Course Syllabus Course # on T Th 12:30 1:45 Spring, 2016: Debra L. Schmidt-Johnson, CPA

COURSE SYLLABUS: CPSC6142 SYSTEM SIMULATION-SPRING 2015

GIS 5049: GIS for Non Majors Department of Environmental Science, Policy and Geography University of South Florida St. Petersburg Spring 2011

Foothill College Fall 2014 Math My Way Math 230/235 MTWThF 10:00-11:50 (click on Math My Way tab) Math My Way Instructors:

Student Handbook. Supporting Today s Students with the Technology of Tomorrow

PSYCHOLOGY 353: SOCIAL AND PERSONALITY DEVELOPMENT IN CHILDREN SPRING 2006

Introduction to Information System

GEOG Introduction to GIS - Fall 2015

Required Text: Oltmanns, T. & Emery, R. (2014). Abnormal Psychology (8th Edition) ISBN-13: ISBN-10:

International Business BADM 455, Section 2 Spring 2008

Office Hours: Day Time Location TR 12:00pm - 2:00pm Main Campus Carl DeSantis Building 5136

San José State University Department of Psychology PSYC , Human Learning, Spring 2017

International Environmental Policy Spring :374:315:01 Tuesdays, 10:55 am to 1:55 pm, Blake 131

General Microbiology (BIOL ) Course Syllabus

MTH 141 Calculus 1 Syllabus Spring 2017

HCI 440: Introduction to User-Centered Design Winter Instructor Ugochi Acholonu, Ph.D. College of Computing & Digital Media, DePaul University

APPLIED RURAL SOCIOLOGY SOC 474 COURSE SYLLABUS SPRING 2006

ENG 111 Achievement Requirements Fall Semester 2007 MWF 10:30-11: OLSC

COMS 622 Course Syllabus. Note:

The Heart of Philosophy, Jacob Needleman, ISBN#: LTCC Bookstore:

MGMT 3362 Human Resource Management Course Syllabus Spring 2016 (Interactive Video) Business Administration 222D (Edinburg Campus)

EdX Learner s Guide. Release

Course Policies and Syllabus BUL3130 The Legal, Ethical, and Social Aspects of Business Syllabus Spring A 2017 ONLINE

HIST 3300 HISTORIOGRAPHY & METHODS Kristine Wirts

MGMT 479 (Hybrid) Strategic Management

English Policy Statement and Syllabus Fall 2017 MW 10:00 12:00 TT 12:15 1:00 F 9:00 11:00

GEOG 473/573: Intermediate Geographic Information Systems Department of Geography Minnesota State University, Mankato

Syllabus - ESET 369 Embedded Systems Software, Fall 2016

Class Meeting Time and Place: Section 3: MTWF10:00-10:50 TILT 221

Journalism 336/Media Law Texas A&M University-Commerce Spring, 2015/9:30-10:45 a.m., TR Journalism Building, Room 104

BIOL 2402 Anatomy & Physiology II Course Syllabus:

General Physics I Class Syllabus

POFI 1301 IN, Computer Applications I (Introductory Office 2010) STUDENT INFORMANTION PLAN Spring 2013

PSY 1012 General Psychology. Course Policies and Syllabus

Instructor: Mario D. Garrett, Ph.D. Phone: Office: Hepner Hall (HH) 100

COURSE SYLLABUS AND POLICIES

INTRODUCTION TO GENERAL PSYCHOLOGY (PSYC 1101) ONLINE SYLLABUS. Instructor: April Babb Crisp, M.S., LPC

BUS Computer Concepts and Applications for Business Fall 2012

Course Syllabus Art History II ARTS 1304

Introduction to Forensic Anthropology ASM 275, Section 1737, Glendale Community College, Fall 2008

Syllabus Foundations of Finance Summer 2014 FINC-UB

DIGITAL GAMING AND SIMULATION Course Syllabus Advanced Game Programming GAME 2374

Sociology 521: Social Statistics and Quantitative Methods I Spring Wed. 2 5, Kap 305 Computer Lab. Course Website

FINN FINANCIAL MANAGEMENT Spring 2014

JOURNALISM 250 Visual Communication Spring 2014

COMM 210 Principals of Public Relations Loyola University Department of Communication. Course Syllabus Spring 2016

Introduction to World Philosophy Syllabus Fall 2013 PHIL 2010 CRN: 89658

ICT/IS 200: INFORMATION LITERACY & CRITICAL THINKING Online Spring 2017

Visual Journalism J3220 Syllabus

Records and Information Management Spring Semester 2016

MKT ADVERTISING. Fall 2016

Course Syllabus It is the responsibility of each student to carefully review the course syllabus. The content is subject to revision with notice.

BIOS 104 Biology for Non-Science Majors Spring 2016 CRN Course Syllabus

BRAZOSPORT COLLEGE LAKE JACKSON, TEXAS SYLLABUS. POFI 1301: COMPUTER APPLICATIONS I (File Management/PowerPoint/Word/Excel)

SPANISH 102, Basic Spanish, Second Semester, 4 Credit Hours Winter, 2013

Moodle Student User Guide

Graduate Program in Education

ASTRONOMY 2801A: Stars, Galaxies & Cosmology : Fall term

Transcription:

SOC 576-- DATA ANALYSIS IN SOCIAL RESEARCH SECTION 001-- CRN # 22399 COURSE SYLLABUS: SPRING 2015 Instructor: Dr. Jiaming Sun Office Location: SS 205 Face to Face Office Hrs: M W: 9 am - 11am or by appointment Office Phone: 903-886-5322 Office Fax: 903-886-5330 Email: Jiaming_sun@tamu-commerce.edu COURSE INFORMATION Lectures: T 4:30 pm - 7:10 pm (SS 312) meets 1/20/2015 through 5/15/2015 Schedule for Lab Practice: TBD This syllabus is intended to help you clearly understand the course goals, expectations, testing methods and topics we are going through so you may maximize your performance. It should also help you to avoid mistakes and misunderstandings that will affect your grade adversely. Text Frankfort-Nachmias: Social Statistics for a Diverse Society 7e + SPSS Version 22.0: Paperback August 2, 2014. ISBN-13: 978-1483375380 ISBN-10: 1483375382 Edition: 7 Pck Pap/ (Required). Jiaming Sun. Global Connectivity and Local Transformation. University Press of America. ISBN 0-7618-4008-7 (Required). Additional materials will be posted in the course website. Student Learning Outcomes/Objectives This course provides an advanced statistics for graduate students who have complete basic descriptive and inferential statistics courses. This course emphasizes procedures that are especially appropriate for social science data analysis and for completion of your research proposal designed in your SOC 575 course. The main goals of the course are:

To review basic statistical symbols and be able to think graphically based on statistic data; To enhance understanding about key concepts in statistics in sociological literature that employs data analysis; To acquire the ability to use appropriate statistical techniques to answer research questions; To learn how to organize, analyze and present statistical data for research papers, particularly for your master thesis; The course also provides an introduction to using SPSS (Statistical Package for the Social Sciences) and STATA (The name "Stata" is a portmanteau of the words "statistics" and "data") to set up data files, manipulate variables and run statistical programs. ACCESS AND NAVIGATION This course is an ecollege online supporting course (a hybrid course or web-enhanced course). ecollege is a campus wide web-enhanced internet teaching and learning support system. Students taking this course will be able to surf the online course website, get reading material, download and upload assignments, take online quizzes and exams, check grades and cumulative points with percentiles anytime online while having regular face to face in class lectures. If you are not familiar with the use of ecollege or the Library Online Services, please avail yourself of the online tutorials which is available through your MyLeo web page. You will need your CWID and password to log in to the course. If you do not know your CWID or have forgotten your password, contact Technology Services at 903.468.6000 or helpdesk@tamuc.edu Lecture Slides (PowerPoint) The PowerPoint lessons used during classes will be transferred into HTML file and uploaded into ecollege after each chapter finished. These online lessons should help you keep track of the course content and the topics we lectured. Keep in mind, however, that these online lessons should NOT keep you from taking your own notes or from attending classes. Most questions in your quizzes and exams will be discussed in lectures in classes. COURSE REQUIREMENTS As per the university rule, students taking one course with three credits hours are expected to spend the same amount of time as

attending lectures on out of class activities (three hours in class, and three hours out of class), such as reading, doing assignments, and preparing quizzes and exams. Attendance Students are required to attend all class meetings or participate in online instruction as offered by the instructor. Recovering missed lecture content or assignment information is the responsibility of the student. Office appointments will not be used to substitute for class attendance or online study. Fellow students may provide notes for recovery of missed information. A student will have total 80 points for full attendance of class. The attendance points will not be given to those who are tardy or packing up early. Excessive tardiness may result in a further loss of points from your overall performance points. It can mean a difference of a final letter grade. Take it seriously. Assign/Quiz There will be some exercises in this course. Doing these exercises helps understanding class material and preparing the exams. Assignments are due on specific dates, as assigned. You will have plenty of notification sent by email. If you know you are going to be out of town and unable to access a computer, plan ahead. Late submission will cause a minimum 20% deduction of penalty for the first week, and then 10% each subsequent week late (up to 50 % deduction). No late submission will be accepted by the day and after taking the exams. Make-ups will be given for students who have extraordinary circumstances but the grading will be an average of the two quizzes. Exams There will be two exams during the semester. The midterm exam will be taken in computer lab with openbook. Students may use the text and/or one sheet of compact set of notes arranged in convenient reference form. Students will be provided with study guide at the lecture and online prior to the exam. Make-ups or retaking the exam will be given for students who have extraordinary circumstances but the grading will be an

average of the two exams. The final exam is a written report based on your work on data process with the results of data analysis and conclusion in length about 24 pages including tables, charts (the examples of a research report have been posted on ecollege). Grading Policy YOU EARN YOUR OWN POINTS Attendance 80 SPSS Lab Practice 70 Chapter Exercises 70 Quizzes 80 Midterm Exam 100 Final Exam (A Report of Data Analysis) 100 Total 500 Final grades will be assigned on the following aspects and scale: A: Truly exceptional and outstanding work. (450-500) B: Solid, acceptable graduate-level work. (400-449) B-: Near acceptable level for graduate work. (350-399) C: Not acceptable level for graduate work. (300-349) TECHNOLOGY REQUIREMENTS AND MATERIAL NEEDS This is a web-enhanced course and some obvious technological resources will be required. Our campus is optimized to work in a Microsoft Windows environment. This means that our course works best if you are using a Windows operating system (XP or newer) and a recent version of Microsoft Internet Explorer (6.0, 7.0 or 8.0). Along with Internet Explorer and Safari, ecollege also supports the Firefox browser (3.0) on both Windows and Mac operating systems. Word processing software (Microsoft Word preferred); SPSS software (recommended); Some floppy diskettes or jump drive to use exclusively for this class; A speaker for watching online SPSS demos when student using computer at lab or at home;

A binder or folder to organize and save computer instructions and output from programs run for lab. Bring this to lab each week; A hand calculator to prepare homework assignments and for use in class and during exams. Any basic calculator with a square root function will suffice. You are strongly recommended to have a computer with internet connections at home to complete course assignments and online quizzes. COURSE AND UNIVERSITY PROCEDURES/POLICIES Disruptive Behavior "Disruptive behavior" includes but not limited being rude to other people, destructive (rather than constructive) criticism of another, arriving late repeatedly, sleeping during class, belligerent or aggressive behavior, and so on. These behaviors have no place in a college classroom. You have a right to maintain your own opinions and to disagree with others, but you must do so in a fashion that is conducive to learning and does not take the form of a personal attack on others. Minimally, you are expected to treat your classmates and your professor in a respectful fashion and they will return the favor. Any behavior that obstructs or disrupts the classroom teaching and learning environment will be addressed. Serious or repeated breaches in appropriate behavior may result in a degradation of your final grade in the course and may be referred to additional University authorities. Cheating & Plagiarism It should go without saying that every student is expected to do his/her own work. Department policy provides that anyone caught cheating in any form or fashion will receive an F for the course and may be subjected to further disciplinary action by the university. Plagiarism (the use of others words, phrases, and ideas in your writing without giving credit to the original author) is a form of cheating and not only violates academic ethical standards, but is against the law. Policies on Enrollment, X, DP, DF, and Withdrawal Every student has the right to drop the course without penalty until the drop date. Students dropping the course during this period will be given a DP (drop while passing). A grade of DP is GPA neutral, but a grade of DF counts as an F on your transcript.

If you choose to stop attending class, you may be dropped from the course due to excessive absences. If you are not satisfied with your grade in the course and wish you to drop, it is YOUR responsibility to drop the course. Once a grade of DP or DF has been registered, I won t be able to change. A student may drop a course by logging into their myleo account and clicking on the hyperlink labeled 'Drop a class' from among the choices found under the myleo section of the Web page. Students should check the university catalog, current semester schedule, and other official sources for specific deadlines, policies, etc. It is the student s responsibility to see that all university procedures are properly followed. Student Requiring Assistance The Americans with Disabilities Act (ADA) is a federal antidiscrimination statute that provides comprehensive civil rights protection for persons with disabilities. Among other things, this legislation requires that all students with disabilities be guaranteed a learning environment that provides for reasonable accommodation of their disabilities. If you have a disability requiring an accommodation, please contact: Office of Student Disability Resources and Services Texas A&M University-Commerce Gee Library, Room 132 Phone (903) 886-5150 or (903) 886-5835 Fax (903) 468-8148 Email: StudentDisabilityServices@tamuc.edu COMMUNICATION AND SUPPORT Email Correspondence In this course, e-mail is an essential corresponding method and supplement to lectures. This means that you can expect to hear from the instructor via emails regularly throughout the semester, such as using e-mail for reminders, clarifications, last-minute notifications, etc. Needless to say, students are expected to check email regularly in daily fashion (a couple of times a day). Conversely, you should feel free to contact the instructor via e- mail with questions, requests or problems that were not or could not be addressed clearly in classes (or online lectures). You may access to your email account via myleo - all my emails

sent from ecollege (and all other the university s emails) will go to this account. Conversely, you are to email me via the ecollege email system or your myleo email since the university spam filters will catch yahoo, hotmail, etc. and usually the emails in spam won t be checked. HOWEVER in order to avoid duplication of questions and answers, please post all class related questions in the Virtual Office. This will be our Q&A forum. It is likely that your peers will have the same question. Emails of a personal nature or for a bonus point should be sent individually to the instructor s email address via ecollege. If you are having problems in class, please contact the instructor immediately. Please understand that you should not contact the instructor only at the end of the semester being unhappy with your grade, asking for a way to change it. COURSE OUTLINE / CALENDAR The course schedule is tentative and somewhat subject to change. Although this course will follow the schedule, it is possible that some adjustments will be made as we progress through the semester. Week Dates Topic Readings 1 Jan.20 Introduction syllabus. Review Ch. 1 basic statistics. SPSS software and GSS data sets. 2 Jan. 27 Measures of central Tendency Ch. 4, 5 and Variability. SPSS practice. 3 Feb. 3 Normal Distribution, SPSS Ch. 6 practice. 4 Feb. 10 Sampling and Sampling Ch. 7 Distribution, 5 Feb. 17 Statistical inference: Ch. 8 Estimation. SPSS practice 6 Feb. 24 Significant tests, SPSS Ch. 9 practice. 7 Mar. 3 Review Ch.5-9 8 Mar. 10 ***Midterm Exam *** 9 Mar. 16 Cross-Tabulation, SPSS practice. Ch. 10

10 Mar. 24 Chi-Square Test, SPSS Ch. 11 practice. 11 Mar. 31 Measures of Association for Ch. 12 Nominal and Ordinal Variables. SPSS practice. 12 Apr. 7 Linear regression and Ch. 13 correlation. SPSS practice. 13 Apr. 14 Analysis of Variance. Ch. 14 14 Apr. 21 Writing Report of Data Analysis 15 Apr. 28 Presentation of your reports of data analysis 16 May 5 ***Final Exam*** As scheduled by the University 17 May 12 Grading