Data Analysis (SOC 379) 3 Semester Hours Department of Social and Cultural Analysis

Similar documents
Computer Architecture CSC

AGN 331 Soil Science Lecture & Laboratory Face to Face Version, Spring, 2012 Syllabus

AGN 331 Soil Science. Lecture & Laboratory. Face to Face Version, Spring, Syllabus

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

Military Science 101, Sections 001, 002, 003, 004 Fall 2014

ENV , ENV rev 8/10 Environmental Soil Science Syllabus

Sociology 521: Social Statistics and Quantitative Methods I Spring 2013 Mondays 2 5pm Kap 305 Computer Lab. Course Website

HMS 241 Lab Introduction to Early Childhood Education Fall 2015

Ryerson University Sociology SOC 483: Advanced Research and Statistics

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

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

STA 225: Introductory Statistics (CT)

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

Texas A&M University - Central Texas PSYK PRINCIPLES OF RESEARCH FOR THE BEHAVIORAL SCIENCES. Professor: Elizabeth K.

Accounting 312: Fundamentals of Managerial Accounting Syllabus Spring Brown

Medical Terminology - Mdca 1313 Course Syllabus: Summer 2017

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

SYLLABUS. EC 322 Intermediate Macroeconomics Fall 2012

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

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

University of Massachusetts Lowell Graduate School of Education Program Evaluation Spring Online

Introduction to Sociology SOCI 1101 (CRN 30025) Spring 2015

PSCH 312: Social Psychology

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

Preferred method of written communication: elearning Message

COURSE WEBSITE:

CS/SE 3341 Spring 2012

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

Syllabus for CHEM 4660 Introduction to Computational Chemistry Spring 2010

Course Syllabus. Alternatively, a student can schedule an appointment by .

ECON492 Senior Capstone Seminar: Cost-Benefit and Local Economic Policy Analysis Fall 2017 Instructor: Dr. Anita Alves Pena

Student Information System. Parent Quick Start Guide

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

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

Instructor: Matthew Wickes Kilgore Office: ES 310

MKT ADVERTISING. Fall 2016

Psychology 102- Understanding Human Behavior Fall 2011 MWF am 105 Chambliss

ITSC 1301 Introduction to Computers Course Syllabus

Math 181, Calculus I

S T A T 251 C o u r s e S y l l a b u s I n t r o d u c t i o n t o p r o b a b i l i t y

BUS Computer Concepts and Applications for Business Fall 2012

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

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

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

TCH_LRN 531 Frameworks for Research in Mathematics and Science Education (3 Credits)

Course Syllabus Advanced-Intermediate Grammar ESOL 0352

CIS 121 INTRODUCTION TO COMPUTER INFORMATION SYSTEMS - SYLLABUS

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

ED487: Methods for Teaching EC-6 Social Studies, Language Arts and Fine Arts

CRITICAL THINKING AND WRITING: ENG 200H-D01 - Spring 2017 TR 10:45-12:15 p.m., HH 205

FINN FINANCIAL MANAGEMENT Spring 2014

COMMUNICATIONS FOR THIS ONLINE COURSE:

SYLLABUS: RURAL SOCIOLOGY 1500 INTRODUCTION TO RURAL SOCIOLOGY SPRING 2017

Syllabus - ESET 369 Embedded Systems Software, Fall 2016

UNDERGRADUATE SEMINAR

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

MATH 205: Mathematics for K 8 Teachers: Number and Operations Western Kentucky University Spring 2017

Adler Graduate School

MURRAY STATE UNIVERSITY DEPARTMENT: NUTRITION, DIETETICS, AND FOOD MANAGEMENT COURSE PREFIX: NTN COURSE NUMBER: 230 CREDIT HOURS: 3

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

U : Second Semester French

COURSE SYLLABUS AND POLICIES

TROY UNIVERSITY MASTER OF SCIENCE IN INTERNATIONAL RELATIONS DEGREE PROGRAM

Introduction to Personality Daily 11:00 11:50am

PSYCHOLOGY 353: SOCIAL AND PERSONALITY DEVELOPMENT IN CHILDREN SPRING 2006

MTH 141 Calculus 1 Syllabus Spring 2017

Economics 201 Principles of Microeconomics Fall 2010 MWF 10:00 10:50am 160 Bryan Building

COMM370, Social Media Advertising Fall 2017

Course Syllabus Art History II ARTS 1304

San José State University Department of Marketing and Decision Sciences BUS 90-06/ Business Statistics Spring 2017 January 26 to May 16, 2017

KOMAR UNIVERSITY OF SCIENCE AND TECHNOLOGY (KUST)

95723 Managing Disruptive Technologies

Fashion Design & Merchandising Programs STUDENT INFORMATION & COURSE PARTICIPATION FORM

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

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

Demography and Population Geography with GISc GEH 320/GEP 620 (H81) / PHE 718 / EES80500 Syllabus

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

Spring 2015 Natural Science I: Quarks to Cosmos CORE-UA 209. SYLLABUS and COURSE INFORMATION.

Spring Course Syllabus. Course Number and Title: SPCH 1318 Interpersonal Communication

PBHL HEALTH ECONOMICS I COURSE SYLLABUS Winter Quarter Fridays, 11:00 am - 1:50 pm Pearlstein 308

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

FINANCE 3320 Financial Management Syllabus May-Term 2016 *

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

ATW 202. Business Research Methods

BIOH : Principles of Medical Physiology

PSYC 2700H-B: INTRODUCTION TO SOCIAL PSYCHOLOGY

Social Media Journalism J336F Unique ID CMA Fall 2012

Foothill College Summer 2016

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

SYLLABUS- ACCOUNTING 5250: Advanced Auditing (SPRING 2017)

COURSE SYNOPSIS COURSE OBJECTIVES. UNIVERSITI SAINS MALAYSIA School of Management

ITSC 2321 Integrated Software Applications II COURSE SYLLABUS

BIOL 2421 Microbiology Course Syllabus:

The Policymaking Process Course Syllabus

POFI 1349 Spreadsheets ONLINE COURSE SYLLABUS

Coding II: Server side web development, databases and analytics ACAD 276 (4 Units)

CS 3516: Computer Networks

Math 96: Intermediate Algebra in Context

POLSC& 203 International Relations Spring 2012

Welcome to WRT 104 Writing to Inform and Explain Tues 11:00 12:15 and ONLINE Swan 305

Transcription:

- 1 - Data Analysis (SOC 379) 3 Semester Hours Department of Social and Cultural Analysis Spring, 2012 Section 098 MWF 9:00-9:50 Ferguson G78 Section 099 MWF 11:00-11:50 Ferguson G78 Instructor: Robert Szafran Office: Liberal Arts North 337 Phone: 936-468-2009 Fax: 936-468-2162 E-mail:rszafran@sfasu.edu Office Hours: Monday 10 to 11, 12 to 1 Tuesday 1:15 to 3:15 Wednesday 10 to 11, 12 to 1 Thursday 1:15 to 3:15 Friday 10 to 11 12 to 1 (LINC) Catalog Course Description 379. Collection, analysis, interpretation, and evaluation of social data. Student Learning Outcomes After successfully completing this course, a student will be able to 1) describe basic concepts in data analysis such as level of measurement, central tendency, dispersion, descriptive statistics, inferential statistics, sampling distributions, sampling error, significance level, hypothesis testing, confidence interval, and margin of error; 2) explain what information can be gained from each of the following: Cronbach s alpha, Cramer s V, tau-b, Pearson s r, multiple correlation, R 2, beta, regression residuals, and chi-square residuals; 3) determine what types of statistical analysis are appropriate for a particular research question and a particular data set; 4) use SPSS to conduct statistical analyses; 5) take raw data and create an SPSS data set; 6) draw appropriate conclusions from statistical analyses; 7) present results in written form that are clear, correct, and relevant to the research question; and 8) correctly complete all the steps in t-statistic, F-ratio, and chi-square hypothesis tests.

- 2 - Book and Software The required text for the course is Answering Questions with Statistics by Robert Szafran, SAGE Publications, 2012, ISBN 978-1-4129-9132-2. I recommend that you rent IBM SPSS Statistics (Base or Standard or Premium) GradPack 20.0 and install it on your own computer. However, SPSS is also available in the Steen Library PC Computing Lab. The following IBM website lists four online vendors for the gradpacks: http://www-01.ibm.com/software/analytics/spss/products/statistics/gradpack/ As you compare vendor offers, consider version (18.0, 19.0, or 20.0), package (base, standard, or premium), method of delivery (download or shipped CD), length of rental (6 months, 1 year, or 2 years), and price. About SPSS A word of encouragement here. SPSS is not a computer language. It does not require command statements. It is menu-driven. (You simply select what you want to have done from a list of options.) SPSS is very user-friendly. Although it is available in the LINC computer lab in the library, many students purchase their own copy. Here are the Windows and Mac system requirements if you are thinking of renting your own copy. Operating system Platform Hardware Windows Microsoft Windows XP (Professional, 32-bit) or Vista (Home, Business, 32- or 64-bit), Windows 7 (32- or 64-bit)* *Windows 2000 is not a supported platform. Intel or AMD x86 processor running at 1GHz or higher Memory: 1GB RAM or more recommended Minimum free drive space: 800MB DVD drive XGA (1024x768) or higher-resolution monitor For connecting with IBM SPSS Statistics Server, a network adapter running the TCP/IP network protocol Mac Apple Mac 10.6x (Snow Leopard) or 10.7 (Lion) Intel processor (32- and 64-bit) Memory: 1GB RAM or more recommended Minimum free drive space: 800MB DVD drive XGA (1024x768) or higher-resolution monitor

- 3 - Homework Sets Eight times during the semester you will have homework problems to turn in. The homework problems are selected from the questions at the end of the chapters in the text. A later page in the syllabus lists the homework problems and when they are due. The problem sets are due by 4 p.m. on the day they are due. Each homework set is graded from 0 to 100. The average on your seven best homework sets determines 10% of your final grade. Reports During the semester you will have three reports to do. Each report will present you with a research question and a data set. You will use the data set to answer the research question. Your answer to the research question will take the form of a written report approximately three pages (1,000 words) in length plus supporting computer output. The reports are due by 4 p.m. on the day they are due. Preliminary drafts of reports can be submitted to the instructor two class periods before they are due for comments and suggestions. Each report determines 5% of your final grade. Together, they determine 15%. Exams There will be five exams. The first, second, and fourth exams cover recent readings and class material. Each of these exams will determine 15% of your final grade. The fifth exam is a comprehensive final. It will be over all of the material covered during the semester. It determines 20% of your final grade. These exams will consist of a variety of types of questions including multiple choice, short answer, simple calculations, and interpretation of computer output. The third exam is modeled after a research report. You will have to decide which SPSS procedures you would use to address a particular research question and draw conclusions from provided computer output. It determines 10% of your final grade. You may bring a calculator if you wish to any exam but any calculations will be quite simple. (You may not use a calculator built into a cell phone.) No blue books or scantrons are needed for any of the exams.

- 4 - Grading Procedure Your grades will be posted on Blackboard. Your final grade for the course will be based on the following system: Final Average Grade 90.00 to 100 A 80.00 up to 90.00 B 70.00 up to 80.00 C 60.00 up to 70.00 D 0 up to 60.00 F Your grade is determined entirely by your performance on the homework, reports, and exams. There are no extra-credit opportunities! Any appeals of grades should be made within one week of the date the grades are posted. If you can't afford a bad grade in this course, begin now working harder than you think you need to -- not in May! Other Information Missed Homework Sets. The homework sets are to be turned in by 4 p.m. on the day they are due. In the case of late homework: There will be no penalty if you are able to document an excuse that you could not have reasonably anticipated. Such documentation must be presented within one week of the homework due date. Homework (without a documented excuse) turned in after it is due but before the start of the next class meeting will not receive a grade higher than 75. Homework (without a documented excuse) turned in after the start of the next class meeting will receive no points. Missed Reports. The reports are to be turned in by 4 p.m. on the day they are due. Each day a report is late will mean a ten point deduction from the grade earned on the assignment. There will be no penalty if you are able to document an excuse that you could not have reasonably anticipated. Such documentation must be presented within one week of the missed assignment. Missed Exams. Persons who for any reason miss the first exam may take a make-up exam on Friday, April 27, at 1:30 p.m. Persons who for any reason miss the second exam may take a make-up exam on Friday, April 27, at 2:30 p.m. Persons who for any reason miss the fourth exam may take a make-up exam on Friday, April 27, at 3:30 p.m. Persons who for any reason miss the third exam may take a make-up exam on Friday, April 27, at 4:30 p.m. These make-up exams will be of a similar format as the original exams. Persons presenting documentation for why it was not possible to take the scheduled make-up exams or the scheduled final exam will be allowed to make-up those exams at a later

time with no penalty. Other persons missing the scheduled make-up exams or the scheduled final exam will be allowed to make-up those exams at a later time but will have 25 points deducted from their score as a late penalty. Writing Emphasis Course Credit. SOC379 is designated by the College of Liberal and Applied Arts as a writing emphasis course. The reports and homework problems requiring verbal interpretations of output will total more than 3,000 words. You will have an opportunity to obtain instructor comments and suggestions on preliminary drafts of your reports. The reports, homework sets, and research report based 4 th exam, together, account for 35 percent of your grade. Attendance Policy. Your attendance is not directly factored into your course grade. However, missing class may result in your missing questions on exams and information about the homework sets and reports, all of which do directly factor into your course grade. Attendance will be monitored but only to understand why some persons are doing poorly in the course. Appealing Grades. Any appeals of homework, report, or exam grades should be made within one week of the date those grades are posted. Academic Accommodations for Disabled Students. To obtain disability related accommodations, alternate formats, and/or auxiliary aids, students with disabilities must contact the Office of Disability Services (ODS), Human Services Building, Room 325, 468-3004 / 468-1004 (TDD), as early as possible in a semester. Once verified, ODS will notify the course instructor and outline the accommodation and/or auxiliary aids to be provided. Failure to request services in a timely manner may delay your accommodations. For additional information, go to http://www.sfasu.edu/disabilityservices/. The Grade of WH. If a student cannot complete the course work because of unavoidable circumstances, a grade of WH (grade withheld) may be assigned. In such cases, students must complete the work within one calendar year from the end of the semester in which they receive a WH, or the grade automatically becomes an F. If students register for the same course in future terms, the WH will automatically become an F and will be counted as a repeated course for the purpose of computing the grade point average. Note that a grade of WH is given at the discretion of the course instructor and department chair. Both must agree that a WH is appropriate. Furthermore, only students who have completed almost all of the course work will be considered for a grade of WH. Forwarding Your E-Mail. Any e-mail correspondence for this course will be sent to your SFA e-mail address. If you normally use some other address, be sure to forward mail from your university address to the address you actually check. Doing this will forward not only your e- mail for this course but also any official university e-mail sent to you. You can easily set a forwarding address by going to the following web site: https://apache.sfasu.edu/accountman/mailindex.html - 5 -

- 6 - Academic Dishonesty. Academic integrity is a responsibility of all university faculty and students. Faculty members promote academic integrity in multiple ways including instruction on the components of academic honesty, as well as by abiding by university policy on penalties for cheating and plagiarism. SFA describes cheating and plagiarism in the following manner: Academic dishonesty includes both cheating and plagiarism. Cheating includes but is not limited to (1) using or attempting to use unauthorized materials to aid in achieving a better grade on a component of a class; (2) the falsification or invention of any information, including citations, on an assigned exercise; and/or (3) helping or attempting to help another in an act of cheating or plagiarism. Plagiarism is presenting the words or ideas of another person as if they were your own. Examples of plagiarism are (1) submitting an assignment as if it were one's own work when, in fact, it is at least partly the work of another; (2) submitting a work that has been purchased or otherwise obtained from an Internet source or another source; and (3) incorporating the words or ideas of an author into one's paper without giving the author due credit. All graded work for this course should represent individual effort. Plagiarism and cheating are serious offenses and may be punished by failure on the homework set/report/exam, failure in the course, and/or expulsion from the university. The university s full policies on academic dishonesty and academic appeals by students are at http://www.sfasu.edu/policies/academic_integrity.asp and http://www.sfasu.edu/policies/academic_appeals_students.asp How SOC379 Supports the Sociology Curriculum. The Department of Social and Cultural Analysis has designed the sociology major curriculum to enable students to achieve seven broad learning outcomes (http://www2.sfasu.edu/soc/). Data Analysis (SOC379) directly contributes to three of those program learning outcomes (PLOs): PLO 2. The student will be able to identify the principles of good social scientific research design. Such principles include validity, reliability, precision in measurement, and sampling methodology. (supported by Student Learning Outcome 1, 3) PLO 4. The student will be able to apply sociological knowledge and skills to a variety of settings. (supported by Student Learning Outcomes 3, 4, 5, 6, 7) PLO 7. The student will be able to analyze a data set using statistical techniques and draw conclusions from the results. (supported by Student Learning Outcomes 1, 2, 4, 6, 7, 8) How SOC379 Supports the Social Work Curriculum. By addressing knowledge, values, and skills associated with quantitative data analysis, SOC379 supports the following BSW generalist practice behaviors (GPB): GPB 21. Students will use practice experience to inform scientific inquiry. GPB 22. Students will use research evidence to inform practice. Classroom Rules. Bring no food into the classroom. Turn cell phones off during class. Do not text message during class.

- 7 - Some Important University Dates. Jan 23 last day to add a course Mar 10-18 Spring holidays Mar 21 last day to drop a course Apr 5-9 Easter holiday (classes resume 4 pm on April 9) Apr 24 last day to withdraw from the University (grades of WP and WF given) May 12 graduation Semester Outline Date Topic and Reading Assignment Assignment Due Jan 18 W Introduction (Chapter 1) Jan 20 F Essential Concepts from Research Methods (Chapter 1) Jan 23 M (in LINC) A Simple SPSS Session (in LINC) (Chapter 2) Jan 25 W Creating A Data Set (Chapter 2) Jan 27 F Creating A Data Set (Chapter 2) Jan 30 M Frequency Tables and Univariate Graphs (Chapter 3) Homework #1 (ch2) Feb 1 W Measures For Central Tendency & Dispersion (Chapter 4) Feb 3 F Measures For Central Tendency & Dispersion (Chapter 4) Feb 6 M Creating New Variables (Chapter 5) Homework #2 (ch3 & ch4) Feb 8 W Practice Exam Feb 10 F Exam (chapters 1-5) Feb 13 M Reports and Review of 1 st Exam Feb 15 W Comparing Group Means (Chapter 6) Feb 17 F Crosstab Tables and Multivariate Graphs (Chapter 7) Feb 20 M Crosstab Tables and Multivariate Graphs (Chapter 7) Homework #3 (ch5 & ch6) (optional) draft of report #1 Feb 22 W Measures Of Association (Chapter 8) Report #1 Feb 24 F Measures Of Association (Chapter 8) Feb 27 M Bivariate Regression (Chapter 9) Feb 29 W Review Reports Homework #4 (ch7 & ch8) (optional) draft of report #2 Mar 2 F Multiple Regression (Chapter 10) Report #2

- 8 - Date Topic and Reading Assignment Assignment Due Mar 5 M Multiple Regression (Chapter 10) Mar 7 W Practice Exam Homework #5 (ch9 & ch10) Mar 9 F Exam (chapters 6-10) -- spring break -- Mar 19 M Sampling Distributions (Chapter 11) and Review of 2 nd Exam (optional) draft of report #3 Mar 21 W Normal Distributions (Chapter 11) Mar 23 F Normal Distributions (Chapter 11) Report #3 Mar 26 M Hypothesis Testing (Chapter 12) Mar 28 W One-Sample T-Tests (Chapter 12) Mar 30 F Review Reports Homework #6 (ch11 & ch12) Apr 2 M Exam (SPSS procedures & output interpretation) Apr 4 W Paired Samples T-Tests (Chapter 13) - Easter holiday - Apr 11 W Independent Samples T-Tests (Chapter 13) Apr 13 F One-Way Analysis Of Variance (Chapter 14) Apr 16 M Two-Way Analysis Of Variance (Chapter 14) Apr 18 W Practice Exam Homework #7 (ch13 & ch14) Apr 20 F Exam (chapters 11-14) Apr 23 M Chi-Square Tests (Chapter 15) Apr 25 W Chi-Square Tests (Chapter 15) Apr 27 F Other Inferential Tests (Chapter 16) make-up exams in afternoon Apr 30 M Recognizing Types of Hypotheses Homework #8 (ch15 & ch16) May 2 W May 4 F May 9 W Recognizing Stats When You Read Them Review & Conclusion - Exam Week - Exam 9:00 section s exam is 8:00 a.m. to 10:00 11:00 section s exam is 10:30 a.m. to 12:30

- 9 - Homework Sets Homework sets are due by 4 p.m. on the date they are due. Problems appear at back of chapters in text. All these problems (except those from chapter 11) require you to use SPSS. Turn in your SPSS output along with your answers. Set # Due Problems 1 Jan 30 Ch 2: problems 12 and 14 2 Feb 6 3 Feb 17 4 Feb 27 5 Mar 7 6 Mar 30 7 Apr 18 8 Apr 30 Ch 3: problems 12 and 14 Ch 4: problems 16 and 20 Ch 5: problems 14 and 18 Ch 6: problems 10 and 12 Ch 7: problems 8 and 10 Ch 8: problems 14 and 20 Ch 9: problems 12 and 14 Ch 10: problems 12 and 14 Ch 11: problems 16 and 22 Ch 12: problems 18 and 20 Ch 13: problems 14 and 16 Ch 14: problems 14 and 18 Ch 15: problems 12 and 14 Ch 16: problems 8 and 12

Keeping Track of Your Grade calculate the average of your seven best homework set grades (in other words, drop one grade and average the rest) = homework set #1 = homework set #2 = homework set #3 = homework set #4 = homework set #5 = homework set #6 = homework set #7 = homework set #8 your course average is the average of the following entries = exam #1 = exam #1 = exam #1 = exam #2 = exam #2 = exam #2 = exam #3 = exam #3 = exam #3 = report #1 = report #2 = report #3 = exam #4 = exam #4 = average of seven best homework sets = average of seven best homework sets = final exam = final exam = final exam = final exam 10