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Research Data Services @ Georgia State University Library: WORKSHOPS ~ Data Analysis Tools ~ Quantitative (Stata, SPSS, SAS, R) & Qualitative (NVivo)

WORKSHOPS ~ DATA ANALYSIS TOOLS

See the WORKSHOP CALENDAR for specific days/times, and learn more about getting RDS@GSU Data Certified.

Stata Workshop Series

Stata Workshop Series

This workshop series completes all analysis using code. No previous knowledge of coding is required. This series is for the Windows version of Stata. See the Stata research guide here.


Stata 1: Introduction to Stata

This workshop is the first of a three-part series on Stata. Stata is a statistical software package. Stata is widely used by scientists throughout the social sciences for analysis of quantitative data ranging from simple descriptive analysis to complex statistical modeling.

Please note: This workshop completes all analysis using code. No previous knowledge of coding is required.

Workshop Topics:

  • Opening data
  • Generating variables (basic)
  • Frequency distributions
  • Analysis: summary statistics

Prerequisites: None.

Workshop materials available here.


Stata 2: Basic Data Analysis

This workshop is the second in a three-part series on Stata. Stata is a statistical software package. Stata is widely used by scientists throughout the social sciences for analysis of quantitative data ranging from simple descriptive analysis to complex statistical modeling.

Please note: This workshop completes all analysis using code. No previous knowledge of coding is required.

Workshop Topics:

  • Generating variables (advanced)
  • Analysis: Chi-square, ANOVA, regression
  • Graphs
  • Navigating help features

Prerequisites: Stata 1 or basic knowledge of Stata.

Workshop materials available here.


Stata 3: Advanced Data Analysis

This workshop is the third in a three-part series on Stata. Stata is a statistical software package. Stata is widely used by scientists throughout the social sciences for analysis of quantitative data ranging from simple descriptive analysis to complex statistical modeling.

Please note: This workshop completes all analysis using code. No previous knowledge of coding is required.

Workshop Topics:

  • Troubleshooting code
  • Generating scales
  • 3, 4, and 5 way cross tabulations

Prerequisites: Stata 1 and Stata 2 or moderate knowledge of Stata.

Workshop materials available here.

Logistic Regression with Stata Workshop

Logistic Regression with Stata Workshop

This workshop completes all analysis using code. No previous knowledge of coding is required. This series is for the Windows version of Stata.


Logistic Regression with Stata

This workshop is an overview of logistic regression analysis using Stata.

Workshop Topics:

  • Logistic Regression
  • Odds Ratios
  • Model Building

Prerequisites: None.

Social Networks (with Stata) Workshop Series

Social Networks Workshop (with Stata) Series


Networks 1: General Overview of Social Networks and Social Network Analysis

This workshop is the first of a three-part series on social network analysis. You will learn how to use social network analysis to examine the connections between individuals or groups both visually and through specific measurements.

Workshop Topics:

  • Social networks (defined)
  • Ego networks
  • Sociocentric networks
  • Network components

Prerequisites: None.


Networks 2: Analyzing Sociocentric Networks with Stata

This workshop is the second of a three-part series on social network analysis. You will learn how to use Stata to conduct social network analysis to examine sociocentric network data.

Workshop Topics: xam

  • Calculations for sociocentric networks
  • Generating network matrixes in Stata

Prerequisites: Networks 1 or basic knowledge of social networks.


Networks 3: Social Network Instrument Development and Data Collection

This workshop is the third of a three-part series on social network analysis. You will learn the development and implementation of social network data collection tools. This workshop is especially important for scholars who are interested in analyzing secondary social network data as well as collecting social network data.

Workshop Topics:

  • Instrument development
  • Sampling techniques
  • Data collection process
  • Data management and organization

Prerequisites: Networks 1 and 2 or foundational knowledge of social networks and social network analysis.

SAS Workshop Series

SAS Workshop Series

This workshop series completes all analysis using code. No previous knowledge of coding is required. This series is for the Windows version of SAS.

 


SAS 1: Introduction to SAS

This workshop is the first in a two-part series on SAS. SAS is a statistical software package that is widely used by scientists throughout the health sciences and demography for analysis of quantitative data ranging from simple descriptive analysis to complex statistical modeling.

Please note: This workshop completes all analysis using code. No previous knowledge of coding is required.

Workshop Topics:

  • Opening data
  • Analysis: summary statistics, Chi-square, ANOVA, regression
  • Frequency distributions

Prerequisites: None.


SAS 2: Data Editing and Cleaning

This workshop is the second in a two-part series on SAS. SAS is a statistical software package that is widely used by scientists throughout the health sciences and demography for analysis of quantitative data ranging from simple descriptive analysis to complex statistical modeling.

Please note: This workshop completes all analysis using code. No previous knowledge of coding is required.

Workshop Topics:

  • Generating variables
  • Data cleaning
  • Data manipulation
  • Navigating help features

Prerequisites: SAS 1 or basic knowledge of SAS.

NVivo Workshop Series

NVivo Workshop Series

This workshop is for the *WINDOWS* version of NVivo. The Mac version differs significantly from the Windows; consequently, attending the Windows workshop if you will be using the Mac version is not recommended. We do not offer workshops on the Mac version due to having no Mac labs to do so. If you need one-on-one training for the Mac version of NVivo, please directly contact Mandy Swygart-Hobaugh, Ph.D. See the NVivo research guide here.


NVivo 1 for Windows: Getting Started

This is the first workshop in a two-part series on NVivo. When undertaking qualitative research, it doesn’t take long for things to get messy. You can quickly find yourself buried under interview transcripts, photographs, videos, memos, web sites, articles and other texts. NVivo is a powerful data collection and analysis tool for the qualitative researcher. In this 90-minute workshop for beginners, we’ll look at strategies for getting your data into the system, setting up preferences for how you want to work, organizational principles, and other tips and tricks.

Workshop Topics

  • Getting to know the NVivo workspace
  • Exploring different types of data types/files that can be analyzed
  • Basic coding of text-based files
  • Using Queries to explore and code your data
  • Recording comments and ideas

Prerequisites: Basic understanding of qualitative research methods is suggested, but not required. Watching this short tutorial on coding qualitative data before attending the workshop is recommended.


NVivo 2 for Windows: Exploring Your Data

This is the second workshop in a two-part series on NVivo. This workshop picks up where NVivo 1 leaves off and continues to explore ways to organize, analyze, and present your qualitative research data. The workshop also further explores how to build queries to explore and analyze your coded data.

Workshop Topics

  • Creating Classifications with Attribute Values to facilitate comparative analyses
  • Crosstab and Matrix Coding queries
  • Data visualizations
  • Sharing findings with Reports and exporting Codebooks

Prerequisites: NVivo 1 or viewed this Lynda.com Nvivo tutorial.

Logics & Logistics of Qualitative Research with NVivo Session

Logics & Logistics of Qualitative Research with NVivo Session


The Logics & Logistics of Qualitative Research

A Framework for Exploring Concepts, Dimensions, and Relationships in Qualitative Data using NVivo Research Software

Dr. LaRossa and Dr. Mandy Swygart-Hobaugh present this joint session. Dr. LaRossa discusses the steps involved in building theoretically-rich qualitative analyses (the logics) and Dr. Swygart-Hobaugh outlines the specific features of NVivo qualitative research software that complement and facilitate these analyses (the logistics).

NOTE: 

SPSS Workshop Series

SPSS Workshop Series

The SPSS 1 and SPSS 2 workshops in this three-part series focus on using the point-and-click method for using SPSS; the syntax/code method is introduced briefly. The SPSS 3 workshop is conducted entirely using code. See the (1) SPSS research guide here and (2) SPSS workshop guide here.


SPSS 1: Getting Started

This workshop is the first of a three-part series on SPSS. SPSS is a statistical software package that is widely used by scientists throughout the social sciences for analysis of quantitative data.

Please note: This workshop focuses on using the point-and-click method for using SPSS; the syntax/code method is introduced briefly.

Workshop Topics

  • Navigating SPSS
  • Entering and importing data from different formats (such as text and Excel files)
  • Defining variables (defining and labeling codes, selecting appropriate levels of measurement)
  • Manipulating and transforming data (selecting cases and splitting files; recoding and computing variables)
  • Running descriptive statistics
  • Generating simple graphs

Prerequisites: None.


SPSS 2: Analyzing Data

This workshop is the second of a three-part series on SPSS. SPSS is a statistical software package that is widely used by scientists throughout the social sciences for analysis of quantitative data.

Please note: This workshop focuses on using the point-and-click method for using SPSS; the syntax/code method is introduced briefly.

Workshop Topics

  • Cross-tabulation and Chi-Square tests
  • Analysis of Variance (ANOVA)
  • T-tests
  • Correlation analysis
  • Multiple regression analysis

Prerequisites: Attendance at SPSS 1 preferred, or completion of Parts 1-6 of the Lynda.com "SPSS Statistics Essential Training" tutorial.


SPSS 3: Basic Coding in SPSS

This workshop is the third of a three-part series on SPSS. SPSS is a statistical software package that is widely used by scientists throughout the social sciences for analysis of quantitative data.

Please note: This workshop completes all analysis using code. No previous knowledge of coding is required.

Workshop Topics:

  • Recoding variables
  • Coding methods
  • Analysis: summary statistics, Chi-square, ANOVA, regression

Prerequisites: Attendance at SPSS 1 and 2 preferred, or completion of Parts 1-6 of the Lynda.com "SPSS Statistics Essential Training" tutorial.

R Workshop Series

R Workshop Series

This workshop series completes all analysis using code. No previous knowledge of coding is required. This series is for the Windows version of RStudio and Rcmdr.

 

 


R 1: Introduction to R

This workshop is the first of a two-part series on R using RStudio and Rcmdr. R is a statistical software package that is rapidly being adopted both in academia and industry for analysis. R is widely used by scientists throughout the social and physical sciences for analysis of quantitative data ranging from simple descriptive analysis to complex statistical modeling.

Please note: This workshop completes all analysis using code. No previous knowledge of coding is required.

Workshop Topics:

  • Downloading packages
  • Opening data
  • Frequency distributions
  • Analysis: summary statistics
  • Graphing (including 3D)

Prerequisites: None.


R 2: Basic Data Analysis in R

This workshop is the second of a two-part series on R using RStudio. R is a statistical software package that is rapidly being adopted both in academia and industry for analysis. R is widely used by scientists throughout the social and physical sciences for analysis of quantitative data ranging from simple descriptive analysis to complex statistical modeling.

Please note: This workshop completes all analysis using code. No previous knowledge of coding is required.

Workshop Topics:

  • Opening data
  • Regression analysis
  • Generating variables

Prerequisites: R 1: Introduction to R Workshop.