Applied Data Analysis
QAC 201
Fall 2010
| Section:
01
02
03
04
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| Crosslisting:
SOC 257, GOVT 201, PSYC 280, NS&B 280 |
This course allows you to ask and answer questions that you feel most passionately about. The focus is on helping you develop and complete your own research project. In keeping with the First Year Matters topic: Feast or Famine, just one of the many studies that you will have the opportunity to explore is Welfare, Children and Families, a National study initiated to assess the well-being of low-income children and families in the post-welfare reform era. The project investigates the strategies families have used to respond to reform, in terms of employment, schooling or other forms of training, residential mobility, and fertility. Central to this project is a focus on how these strategies affect children's lives, with an emphasis on their health and development as well as their need for, and use of, social services.
The course offers: Unlimited one-on-one support; ample opportunities to work with other students who share your interests; training in numerous skills that prepare you to work in many different research labs across the university that collect empirical data; and, a final project that can be submitted for possible publication in one of Wesleyan's student run journals. It is also an opportunity to fulfill an important requirement in several different majors that you may be considering: Neuroscience and Behavior (fulfills the Research Methods and Practica requirement); Psychology (fulfills the statistics requirement); Government (fulfills one of the 9 courses needed for the major); Sociology (fulfills one of the 10 course credits needed for the major). |
|
Essential Capabilities:
Information Literacy, Quantitative Reasoning |
| Credit: 1.5 |
Gen Ed Area Dept:
NSM QAC |
| Course Format: Lecture / Discussion | Grading Mode: Graded |
| Level: UGRD |
Prerequisites: None |
|
Fulfills a Requirement for: (BIOL)(CADS)(DATA-MN)(EDST-MN)(EDST)(GOVT)(GOVT-American)(HRAD-MN)(INFO-MN)(NS&B)(PSYC)(SOC) |
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Past Enrollment Probability: Not Available |
| SECTION 01 | | Special Attributes: FYI |
Major Readings: Wesleyan RJ Julia Bookstore
Primary source journal articles on your chosen research topic. |
| Instructor(s): Dierker,Lisa C. Times: .M.W... 11:00AM-12:20PM; .M.W... 01:10PM-02:30PM; Location: SHAN107; ALLB204; |
| Total Enrollment Limit: 25 | | SR major: X | JR major: X | | |
| Seats Available: 7 | GRAD: X | SR non-major: X | JR non-major: X | SO: X | FR: 25 |
| Drop/Add Enrollment Requests | | | | | |
| Total Submitted Requests: 1 | 1st Ranked: 0 | 2nd Ranked: 0 | 3rd Ranked: 0 | 4th Ranked: 0 | Unranked: 1 |
| SECTION 02 |
Major Readings: Wesleyan RJ Julia Bookstore
Same as Section 1 |
Examinations and Assignments:
Same as Section 1 |
Additional Requirements and/or Comments:
This combination lecture and hands-on laboratory course provides experience in data management and applied statistics. Students will have the opportunity to develop skills in several aspects of the research process including generating testable hypotheses based on extant data; conducting a literature review and evaluating the content of scientific literature; preparing data for analysis; selecting and conducting descriptive and inferential statistical analyses; and presenting research findings. By providing opportunities for training in one of the three major statistical analysis software (SAS, SPSS, and Stata), this course aims to empower students to manage and analyze large data sets. Each laboratory group will be organized around a specific software application. |
| Instructor(s): Dierker,Lisa C. Times: .M.W... 11:00AM-12:20PM; .M.W... 02:40PM-04:00PM; Location: SHAN107; ALLB204; |
| Total Enrollment Limit: 25 | | SR major: 0 | JR major: 0 | | |
| Seats Available: 12 | GRAD: X | SR non-major: 4 | JR non-major: 12 | SO: 9 | FR: 0 |
| Drop/Add Enrollment Requests | | | | | |
| Total Submitted Requests: 0 | 1st Ranked: 0 | 2nd Ranked: 0 | 3rd Ranked: 0 | 4th Ranked: 0 | Unranked: 0 |
| SECTION 03 |
Major Readings: Wesleyan RJ Julia Bookstore
Same as Section 1 |
Examinations and Assignments:
Same as Section 1. |
Additional Requirements and/or Comments:
This combination lecture and hands-on laboratory course provides experience in data management and applied statistics. Students will have the opportunity to develop skills in several aspects of the research process including generating testable hypotheses based on extant data; conducting a literature review and evaluating the content of scientific literature; preparing data for analysis; selecting and conducting descriptive and inferential statistical analyses; and presenting research findings. By providing opportunities for training in one of the three major statistical analysis software (SAS, SPSS, and Stata), this course aims to empower students to manage and analyze large data sets. Each laboratory group will be organized around a specific software application. |
| Instructor(s): Dierker,Lisa C. Kaparakis,Emmanuel I. Times: .M.W... 11:00AM-12:20PM; .M.W... 04:10PM-05:30PM; Location: SHAN107; ALLB204; |
| Total Enrollment Limit: 25 | | SR major: 0 | JR major: 0 | | |
| Seats Available: 8 | GRAD: X | SR non-major: 4 | JR non-major: 12 | SO: 9 | FR: 0 |
| Drop/Add Enrollment Requests | | | | | |
| Total Submitted Requests: 1 | 1st Ranked: 0 | 2nd Ranked: 0 | 3rd Ranked: 0 | 4th Ranked: 0 | Unranked: 1 |
| SECTION 04 |
Major Readings: Wesleyan RJ Julia Bookstore
Same as Section 1 |
Examinations and Assignments:
Same as Section 1 |
Additional Requirements and/or Comments:
This combination lecture and hands-on laboratory course provides experience in data management and applied statistics. Students will have the opportunity to develop skills in several aspects of the research process including generating testable hypotheses based on extant data; conducting a literature review and evaluating the content of scientific literature; preparing data for analysis; selecting and conducting descriptive and inferential statistical analyses; and presenting research findings. By providing opportunities for training in one of the three major statistical analysis software (SAS, SPSS, and Stata), this course aims to empower students to manage and analyze large data sets. Each laboratory group will be organized around a specific software application. |
| Instructor(s): Dierker,Lisa C. Rose,Jennifer S. Times: .M.W... 11:00AM-12:20PM; ..T.R.. 01:10PM-02:30PM; Location: SHAN107; ALLB204; |
| Total Enrollment Limit: 25 | | SR major: 0 | JR major: 0 | | |
| Seats Available: 15 | GRAD: X | SR non-major: 4 | JR non-major: 12 | SO: 9 | FR: 0 |
| Drop/Add Enrollment Requests | | | | | |
| Total Submitted Requests: 0 | 1st Ranked: 0 | 2nd Ranked: 0 | 3rd Ranked: 0 | 4th Ranked: 0 | Unranked: 0 |
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