Social Science Research Methods

 Description

The concentration in  certificate program prepares students to acquire, manage and analyze a broad range of data on human thought and human behavior. Data can be qualitative (e.g., text, images, sound) or quantitative (e.g., direct observation, surveys, GIS). Data acquisition skills may include the downloading and managing of information from online sources or the primary collection of data in surveys or by direct observation. A key feature of this program is a focus on data analysis so that students will be able to analyze any data they collect. All students in this program will demonstrate skills in statistical analysis plus skills in a selection of methods related to their interests.

Requirements

• Students must complete a minimum of 18 credit hours including 12 of upper division hours for this concentration.
• All courses must be completed with a grade of “C” (2.00) or higher.
• A minimum 12 hours must be taken in courses offered at ASU.

Required Course: 3 credit hours 

GSI 469 

or

SOC 469  Multivariate Statistics for Social Sciences

or

STP 452 Multivariate Statistics 

Electives: 12 credit hours
 

ACO 100: All About Data: Design, Query, and Visualization 

ACT 435: Statistics for Risk Modeling

ACT 450: Actuarial Models and Modeling I 

ALA 235: Introduction to Computer Modeling  

AML 253: Introduction to Mathematical Tools and Modeling for the Life and Social Sciences

AML 441 

ASM 494: Models in Social Evolution

BME 301: Numerical Methods in Biomedical Engineering

BMI 211: Modeling Biomedical Decisions

BMI 311: Modeling Biomedical Knowledge

BMI 312: Modeling Biomedical Data  

BMI 461: Advanced Topics in Biomedical Informatics I  

BMI 462: Advanced Topics In Biomedical Informatics II

COM 308: Advanced Research Methods in Communication 

COM 407: Advanced Critical Methods in Communication

CRJ 303: Statistical Analysis 

ECN 410: Applied Regression Analysis and Forecasting  

ECN 416: Game Theory and Economic Behavior

EDP 454: Statistical Data Analysis in Education  

FAS 361 or SOC 391 Research Methods 

FAS 498 [*ADVAN* *STATI*] 

GCU 351: Population Geography 

GCU 373 Introduction to Geographic Information Science

GCU 442 Geographical Analysis of Transportation 

GCU 496 Geographic Research Methods 

GIS 311 Geographic Information Science II 

GIS 322 Spatial Data Structures and Algorithms 

GIS 341 Introduction to Cartography and Georepresentation 

GIS 431 Spatial Databases 

GIS 441 Geographics Interactive and Animated Cartography and Geovisualization

GIS 461 / PUP 481 / GCU 494 Optimization Fundamentals for Spatial Analysis

GIS 462 / PUP 482 Location Analysis and Modeling

GIS 470 Statistics for Geographers

GIS 471 Geographic Information Analysis

GIS 472 Spatial Regression Analysis

HSE 290: Experimental Methods for Human Systems Research

HSE 390: Qualitative Research Methods

IFT 200: Information Modeling, Storage and Retrieval

IFT 410 

MKT 352: Marketing Research

POS 301 / SGS 305 Empirical Political Inquiry

POS 401 / SGS 401 Political Statistics 

PUP 424 Planning Methods

PSY 330: Statistical Methods

SBS 302: Qualitative Methods

SBS 404: Social Statistics II: Multivariate Analysis 

SOC 389 / SBS 389 / ASB 389: Ethnographic Field Lab

SOS 211: Calculus and Probability for the Life and Social Sciences 

STP 280: Probability and Statistics for Researchers

STP 310 Design and Analysis of Experiments

STP 311 Regression & Time Series Analyses

STP 315 Statistical Computing

STP 420 Introductory Applied Statistics

STP 421: Probability

STP 425: Stochastic Processes 

STP 429 Experimental Statistics 

STP 450 Nonparametric Statistics

STP 460 Categorical Data Analysis

TWC 301: Fundamentals of Writing for Digital Media

TWC 411: Principles of Visual Communication

Required Capstone Course: 3 credit hours

ASB 484 Internship 

ASB 499 Individualized Instruction