Welcome to Research Analyst
A comprehensive browser-based research analysis platform for quantitative, qualitative, and mixed methods research. Upload your data, build conceptual models, run statistical analyses, and export professional results.
Gecit, B. B., Toraman, Y., & Balcioglu, Y. S. (2026). Artificial intelligence versus traditional software in PLS-SEM: data analysis with smart PLS and ChatGPT. Quality & Quantity, 1-21.
Upload Your Research Data
Upload an Excel (.xlsx) or CSV file. Your data stays in your browser.
Click to upload or drag & drop
Supports .xlsx and .csv files
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Data Preview
Convert Items to Variables (Constructs)
Group survey items into constructs manually, by naming patterns, or factor analysis.
Select Items for Construct
Auto-detect based on naming patterns (e.g., AF1, AF2 → AF)
Conceptual Model Builder
Build your research model. Add variables, then draw arrows to create relationships and hypotheses.
Add variables to build your model
Model Variables
Generated Hypotheses
Research Hypotheses
Manage your hypotheses. Hypotheses are auto-generated from the conceptual model arrows.
Summary Statistics
Select Variables
Frequency Tables
Select Variable
Visualizations
Cronbach's Alpha
Defined Constructs (from Items to Variables)
Click a construct to calculate its Cronbach's Alpha
Or Select Items Manually
Composite Reliability (CR)
Select items for each construct to calculate composite reliability.
Select Items
AVE & Discriminant Validity
Define constructs with their items, then calculate AVE, Fornell-Larcker, and HTMT.
Select Items for Construct
Correlation Matrix
Select Variables (Multiple)
Regression Analysis
T-Tests
ANOVA
Chi-Square Test
Exploratory Factor Analysis (EFA)
Select Variables
Confirmatory Factor Analysis (CFA)
Define your measurement model by creating factors and assigning items.
Select Items
PLS-SEM Analysis
Define your structural model with constructs and paths.
Select Indicators
Define Paths
Mediation Analysis
Moderation Analysis
Cluster Analysis
Select Variables
Time Series Analysis
Import Text Data
Import text data for qualitative analysis.
Click to upload text file
.txt, .csv, .docx files
Social Media Comment Extractor
Extract comments from various platforms for qualitative analysis.
YouTube Data API v3
💡 How to get a FREE YouTube API Key:
- Go to Google Cloud Console
- Create a project (or use existing)
- Enable "YouTube Data API v3"
- Create credentials → API Key
- Copy and paste below (it's FREE - 10,000 requests/day)
Reddit API
Reddit's public JSON API (no auth required for public posts)
Manual Import (Quora, Forums, etc.)
Copy-paste comments from any source
Extracted Comments
Qualitative Analysis Methods
Select a methodology for your qualitative analysis. Each method provides specific analytical frameworks.
Thematic Analysis
Identify, analyze, and report patterns (themes) within data. Braun & Clarke approach.
Qualitative Content Analysis
Systematic coding and categorization of textual content for patterns and meanings.
Grounded Theory
Develop theory from data through iterative coding: open, axial, and selective coding.
Interpretative Phenomenological Analysis (IPA)
Explore how participants make sense of personal and social experiences.
Narrative Analysis
Analyze stories and narratives to understand how people construct meaning.
Discourse Analysis
Examine language use in social contexts, power relations, and ideologies.
Ethnographic Analysis
Cultural analysis focusing on behaviors, customs, and beliefs of groups.
Netnographic Analysis
Online ethnography for analyzing digital communities and social media.
Case Study Analysis
In-depth analysis of specific cases within real-world contexts.
Framework Analysis
Matrix-based approach for organizing and analyzing qualitative data.
Manual Coding (NVivo Style)
Text Data
Code Book
Coded Segments
Automated Qualitative Analysis
Analyze sentiment polarity and subjectivity of text.
Extract named entities (people, places, organizations, etc.)