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No environment setup and no programming needed. Just upload your dataset and select a methodology to finish top level data analytics 5× faster, gaining flawless and statistically sound analysis results without a single line of code.

Q42001 analysis output 01 / 14

Covariance-Based SEM (CB-SEM)

Structural equation modelling

ξ1η1η2.62***.48***.11x1.81x2.77x3.84y1.79y2.86y3.73y4.88y5.82y6.75Standardized estimates · maximum likelihood · n = 412
0122436480.00.250.500.751.00Time (months)S(t)Treatment (n=204)Control (n=198)
Whitcombe 2021Rahmawati 2021Delaney 2022Almeida 2022Nakamura 2023Ramaswamy 2023Osei 2024Bergmann 2024Pooled (RE)-0.40.00.40.81.2Hedges' g [95% CI]
-20-1001020304560Running variable (centred)Outcomeτ = 6.41cutoff
-5-2035-.050.10.20Periods relative to treatmentATTtreatmentpre-trend n.s.
tenure_monthsavg_session_lenn_uploads_30dplan_tiersupport_ticketsreferral_flag-0.4-0.20.00.20.4SHAP value (impact on model output)
0.00.51.00.00.51.0False positive rateTrue positive rateGradient boosting · AUC .914Random forest · AUC .871Logistic regression · AUC .802
036912-0.20.00.20.4Horizon (quarters)Responseshock: ε(policy) → response: ln(output)
C1C2C3C4C5UMAP-1UMAP-2
025050002%4%Trading dayσ̂ₜ (conditional)conditional volatility σ̂ₜstandardised returns
-303-303z (standardised value)W·z (spatial lag)HHLHLLHLslope = Moran's I = .412
T1T2T3T4T540506070Measurement occasionLatent scoremean trajectory (fixed effects)individual trajectories (random effects)
12244-202Cluster (ranked)Random intercept u₀ⱼempirical Bayes estimates ± 95% CI
F1F2F3F4i01.91.20.02.02i02.88.16.15.07i03.84.13.13.04i04.10.79.16.21i05.20.82.10.06i06.01.72.10.07i07.08.19.82.12i08.05.01.78.03i09.11.21.85.04i10.19.17.16.90i11.17.17.08.91i12.21.04.16.86Standardised factor loadings · oblique (geomin) rotation
  • Foundational statistics23
  • Regression & prediction18
  • Multivariate & reduction11
  • Measurement & SEM17
  • Longitudinal & time series26
  • Survival, spatial & network19
  • Machine learning & AI44
  • Causal inference & decision26
  • Methods184
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After
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Who it's for

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For researchers

Zero Reformatting.
Pure Academic Precision.

Eliminate manual table editing completely. Quorant generates publication-grade tables aligned with strict journal submission guidelines in seconds.

  • Full APA edition compliance for tables
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  • Machine Learning algorithms supported
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View Supported Methodologies →
report.pdfpage 14APA 7th
estimating hierarchical regression · 3 blocks · 9 predictors · N = 412
Table 2Hierarchical regression predicting job satisfaction
PredictorStep 1Step 2Step 3
B(SE)B(SE)B(SE)
Block 1 · Controls
Gender0.08(.05)0.06(.05)0.05(.05)
Age−0.03(.04)−0.02(.04)−0.02(.04)
Tenure0.21**(.07)0.18**(.06)0.16**(.06)
Education0.11*(.05)0.09(.05)0.08(.05)
Block 2 · Job characteristics
Job autonomy0.34***(.05)0.28***(.05)
Task variety0.19**(.06)0.15*(.06)
Workload−0.22***(.05)−0.19***(.05)
Block 3 · Social resources
Supervisor support0.27***(.06)
Team cohesion0.14*(.06)
.112 .318 .384
ΔR² .206*** .066***
F 12.80*** 26.94*** 27.83***
df 4, 407 7, 404 9, 402
Note. Unstandardized coefficients; standard errors in parentheses. Listwise deletion, N = 412. *p < .05. **p < .01. ***p < .001.
For agencies

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Deliver rock-solid data evidence whenever clients demand proof. Turn 2-week research pipelines into a few day turnaround, from data collection to final presentation deck.

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Explore 26 Causal Inference & Decision-Making Models →
figures_pack.zip2 of 6SVG · PNG · 300 dpi
rendering conjoint & IPA figures · n = 486 respondents · 12 attributes

Importance–Performance

Concentrate hereKeep up the good workLow priorityPossible overkillA1A2A3A4B1B2B3C1C2C3D1D2PerformanceImportance

Conjoint part-worth

Price31%Turnaround24%Method coverage18%Expert review12%Report format9%Support6%Relative importance
For work

Three Files That End
Endless Strategy Meetings.

No dedicated data team required. A single dataset upload delivers raw CSV, visualization graphics, and executive PDF reports—ready to share company-wide instantly.

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dataset.csvDegree centralityBetweennessCommunity detectionERGMresults.csv01 UPLOAD02 METHOD SELECTION03 NETWORK ANALYSIS04 OUTPUT
How it works

From File Upload to Final Deliverables

01020304
01
Upload Dataset

Upload Excel or spreadsheets instantly with zero setup required. For text mining analysis, PDF files are also supported. Handles large-scale datasets smoothly without friction.

02
Select Methodology

Select the methodology that fits your research goals, from basic hypothesis testing to deep learning and causal inference.

03
Run Analytics

Our expert-grade AI algorithm pipeline completely eliminates human error and mysterious coding bugs.

PythonRStataSPSSSASJulia
04
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Receive everything at once, from raw analysis output files to visual assets, and finalize your research papers and reports on the spot.

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Testimonials

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“Being able to drop visualisations and quantitative indicators straight into a market research presentation lifted our client satisfaction noticeably. We used to spend days on data cleaning and statistical processing and had almost no time left to sharpen the insight. That order is now completely reversed.”

Eleanor Whitcombe
Research Director
Q21001Q83003

“Learning a statistics package and then picking up coding on top of it nearly cost me a full semester of my master’s thesis. Now I just tidy the data, upload it, and results come back within days — formatted in APA style so I can paste them straight into the manuscript. It carried me through to journal submission without a delay.”

Anindya Rahmawati
MSc Candidate, Business Administration
Q42002Q43001

“My field is organisational psychology, so structural equation modelling and moderated mediation were unavoidable. I kept misspecifying the bootstrap settings and the estimates never settled. Here the methodology comes with standard settings and the fit indices arrive laid out in a table, which cut my review time dramatically.”

Priya Ramaswamy
PhD Candidate, Organisational Psychology
Q42001Q43003
Pricing

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Basic
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  • Methods included42
  • Analyses per month5
  • Data per run10MB
  • DeliverablesCSV
  • Expert-verified reportNot included
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$99/mo
$79.20/mo billed annually · $79 with academic verification

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  • Methods included143
  • Analyses per month10
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  • Expert-verified report1 / month
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Enterprise
$199/mo
$159.20/mo billed annually · $1,910.40 per year

For teams that need deep learning and advanced causal inference

  • Methods included184 · all
  • Analyses per month20
  • Data per run500MB
  • DeliverablesCSV · Figures · PDF
  • Expert-verified report3 / month
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Cost per method Basic $0.93 Pro $0.69 Enterprise $1.08 Pro delivers the lowest cost per method — down to $0.55 with academic email verification.
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Every one of the 184 methods is verified to return results identical to the core R and Python statistical libraries.
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Method catalogue

Every Analysis You Need,
Ready at Your Fingertips.

Explore an expansive library of frameworks built for complex research questions. Discover the perfect methodology for your project goals and seamlessly plug it into your analysis requests.

Availability B Basic P Pro E Enterprise Faded letters mark plans that do not include the method.
Showing 184 of 184 methods
Q11001
Kolmogorov-Smirnov Test
Assumption diagnostics
Hypothesis testing
BPE
Q11002
Levene's Test
Assumption diagnostics
Hypothesis testing
BPE
Q11003
Shapiro-Wilk Test
Assumption diagnostics
Hypothesis testing
BPE
Q11004
Chi-Square Test
Categorical data analysis
Hypothesis testing
BPE
Q11005
Fisher's Exact Test
Categorical data analysis
Hypothesis testing
BPE
Q11006
McNemar's Test
Categorical data analysis
Hypothesis testing
BPE
Q11007
Kruskal-Wallis Test
Nonparametric tests
Hypothesis testing
BPE
Q11008
Mann-Whitney U Test
Nonparametric tests
Hypothesis testing
BPE
Q11009
Wilcoxon Signed-Rank Test
Nonparametric tests
Hypothesis testing
BPE
Q11010
Friedman Test
Nonparametric tests
Hypothesis testing
BPE
Q11011
Independent Samples t-test
Mean comparison
Hypothesis testing
BPE
Q11012
One-way ANOVA
Mean comparison
Hypothesis testing
BPE
Q11013
Paired Samples t-test
Mean comparison
Hypothesis testing
BPE
Q11014
ANCOVA
Mean comparison
Hypothesis testing
BPE
Q11015
MANOVA
Mean comparison
Hypothesis testing
BPE
Q11016
Mixed ANOVA
Mean comparison
Hypothesis testing
BPE
Q11017
Repeated Measures ANOVA
Mean comparison
Hypothesis testing
BPE
Q11018
Two-way ANOVA
Mean comparison
Hypothesis testing
BPE
Q12001
Kendall's Tau Correlation
Correlation
Correlation & similarity
BPE
Q12002
Pearson Correlation Analysis
Correlation
Correlation & similarity
BPE
Q12003
Spearman Rank Correlation
Correlation
Correlation & similarity
BPE
Q12004
Partial Correlation Analysis
Correlation
Correlation & similarity
BPE
Q12005
Cosine Similarity Analysis
Similarity measures
Correlation & similarity
BPE
Q21001
Generalized Additive Models (GAM)
Nonparametric & additive regression
Regression
BPE
Q21002
Hierarchical Regression Analysis
Linear regression
Regression
BPE
Q21003
Multiple Linear Regression
Linear regression
Regression
BPE
Q21004
Stepwise Regression Analysis
Linear regression
Regression
BPE
Q21005
Quantile Regression Analysis
Linear regression
Regression
BPE
Q21006
Robust Regression Analysis
Linear regression
Regression
BPE
Q21007
ElasticNet Regression
Regularised regression
Regression
BPE
Q21008
Lasso Regression
Regularised regression
Regression
BPE
Q21009
Ridge Regression
Regularised regression
Regression
BPE
Q21010
Binary Logistic Regression
Limited dependent variables
Regression
BPE
Q21011
Multinomial Logistic Regression
Limited dependent variables
Regression
BPE
Q21012
Negative Binomial Regression Model
Limited dependent variables
Regression
BPE
Q21013
Ordinal Logistic Regression
Limited dependent variables
Regression
BPE
Q21014
Poisson Regression Model
Limited dependent variables
Regression
BPE
Q21015
Probit Regression Model
Limited dependent variables
Regression
BPE
Q21016
Tobit Regression Model
Limited dependent variables
Regression
BPE
Q22001
Decision Curve Analysis (DCA)
Clinical utility
Predictive performance
BPE
Q22002
ROC-AUC Curve Analysis
Discrimination
Predictive performance
BPE
Q31001
Hierarchical Cluster Analysis
Clustering
Clustering
BPE
Q31002
K-Means Clustering
Clustering
Clustering
BPE
Q31003
DBSCAN Density-Based Clustering
Clustering
Clustering
BPE
Q31004
K-Medoids / PAM Clustering
Clustering
Clustering
BPE
Q31005
Spectral Cluster Analysis
Clustering
Clustering
BPE
Q31006
Gaussian Mixture Model (GMM)
Model-based clustering
Clustering
BPE
Q32001
Principal Component Analysis (PCA)
Dimensionality reduction
Dimensionality reduction
BPE
Q32002
Multidimensional Scaling (MDS)
Dimensionality reduction
Dimensionality reduction
BPE
Q32003
UMAP Dimensionality Reduction
Dimensionality reduction
Dimensionality reduction
BPE
Q32004
t-SNE Dimensionality Reduction
Dimensionality reduction
Dimensionality reduction
BPE
Q32005
Non-Negative Matrix Factorization (NMF)
Matrix factorisation
Dimensionality reduction
BPE
Q41001
Cronbach's Alpha Reliability Analysis
Reliability
Reliability & validity
BPE
Q41002
Composite Reliability & AVE Test
Reliability
Reliability & validity
BPE
Q41003
Exploratory Factor Analysis (EFA)
Validity
Reliability & validity
BPE
Q41004
Confirmatory Factor Analysis (CFA)
Validity
Reliability & validity
BPE
Q42001
Covariance-Based SEM (CB-SEM)
Structural equation models
Structural equation modelling
BPE
Q42002
Multi-Group Structural Equation Modeling
Structural equation models
Structural equation modelling
BPE
Q42003
Partial Least Squares SEM (PLS-SEM)
Structural equation models
Structural equation modelling
BPE
Q43001
Mediation Analysis
Mediation
Mediation & moderation
BPE
Q43002
Mediated Moderation Analysis
Conditional process models
Mediation & moderation
BPE
Q43003
Moderated Mediation Analysis
Conditional process models
Mediation & moderation
BPE
Q43004
Moderation Analysis
Moderation
Mediation & moderation
BPE
Q44001
Latent Growth Modeling (LGM)
Growth models
Latent variable & mixture models
BPE
Q44002
Latent Class Analysis (LCA)
Latent class
Latent variable & mixture models
BPE
Q44003
Latent Profile Analysis (LPA)
Latent class
Latent variable & mixture models
BPE
Q44004
Latent Transition Analysis (LTA)
Latent transition
Latent variable & mixture models
BPE
Q45001
Network Psychometrics
Network psychometrics
Psychometrics
BPE
Q45002
Item Response Theory (IRT)
Item response theory
Psychometrics
BPE
Q51001
Dynamic Structural Equation Modeling (DSEM)
Multilevel SEM
Multilevel models
BPE
Q51002
Multilevel SEM
Multilevel SEM
Multilevel models
BPE
Q51003
Hierarchical Linear Modeling (HLM)
Multilevel regression
Multilevel models
BPE
Q51004
Multilevel Mediation Analysis
Multilevel effect decomposition
Multilevel models
BPE
Q51005
Multilevel Moderation Analysis
Multilevel effect decomposition
Multilevel models
BPE
Q51006
Generalized Estimating Equations (GEE)
Repeated-measures regression
Multilevel models
BPE
Q52001
Cross-Lagged Panel Model (CLPM)
Cross-lagged panel
Panel econometrics
BPE
Q52002
Random Intercept CLPM (RI-CLPM)
Cross-lagged panel
Panel econometrics
BPE
Q52003
Dynamic Panel Data / Arellano-Bond
Dynamic panel
Panel econometrics
BPE
Q52004
Panel Unit Root Test
Panel time series
Panel econometrics
BPE
Q52005
Panel Cointegration Test
Panel time series
Panel econometrics
BPE
Q52006
Panel Vector Autoregression (Panel VAR)
Panel time series
Panel econometrics
BPE
Q52007
Panel Fixed Effects Model
Panel regression
Panel econometrics
BPE
Q52008
Panel Random Effects Model
Panel regression
Panel econometrics
BPE
Q53001
ARIMA Model
ARIMA family
Time series
BPE
Q53002
SARIMAX Model
ARIMA family
Time series
BPE
Q53003
Structural Break Test / Chow Test
Structural break tests
Time series
BPE
Q53004
Vector Autoregression (VAR)
Multivariate time series
Time series
BPE
Q53005
Vector Error Correction Model (VECM)
Multivariate time series
Time series
BPE
Q53006
Bayesian Structural Time Series (BSTS)
Bayesian time series
Time series
BPE
Q53007
GARCH / EGARCH Volatility Model
Volatility models
Time series
BPE
Q53008
Kalman Filtering
State-space models
Time series
BPE
Q53009
Granger Causality Test
Causality testing
Time series
BPE
Q53010
Prophet Forecasting Model
Automated forecasting
Time series
BPE
Q53011
Markov-Switching Regression Model
Regime-switching models
Time series
BPE
Q53012
Exponential Smoothing / Holt-Winters
Smoothing & decomposition
Time series
BPE
Q61001
Competing Risks Regression Analysis
Competing risks
Survival analysis
BPE
Q61002
Fine-Gray Competing Risk Model
Competing risks
Survival analysis
BPE
Q61003
Weibull Parametric Survival Model
Parametric survival
Survival analysis
BPE
Q61004
Lasso-Cox Regression
Penalised survival
Survival analysis
BPE
Q61005
Cox Proportional Hazards Model
Proportional hazards
Survival analysis
BPE
Q61006
Time-Dependent Cox Hazards Model
Proportional hazards
Survival analysis
BPE
Q61007
Event History Quantitative Analysis
Event history analysis
Survival analysis
BPE
Q61008
Kaplan-Meier Survival Analysis
Survival curves
Survival analysis
BPE
Q61009
Log-Rank Test
Survival curves
Survival analysis
BPE
Q61010
Restricted Mean Survival Time (RMST)
Restricted mean survival
Survival analysis
BPE
Q61011
Propensity Score Matching with Survival
Causal inference hybrid
Survival analysis
BPE
Q62001
Local Indicators of Spatial Association (LISA)
Spatial autocorrelation
Spatial analysis
BPE
Q62002
Moran's I Spatial Autocorrelation
Spatial autocorrelation
Spatial analysis
BPE
Q62003
Spatial Error Model (SEM)
Spatial regression
Spatial analysis
BPE
Q62004
Spatial Lag Model (SLM)
Spatial regression
Spatial analysis
BPE
Q62005
Geographically Weighted Regression (GWR)
Local spatial regression
Spatial analysis
BPE
Q63001
Exponential Random Graph Models (ERGM)
Network statistical models
Network analysis
BPE
Q63002
Social Network Centrality Metrics
Centrality
Network analysis
BPE
Q63003
Community Detection (Louvain / Walktrap)
Community detection
Network analysis
BPE
Q71001
Boruta Feature Selection Algorithm
Feature selection
Machine learning
BPE
Q71002
Partial Dependence Plot (PDP)
Explainable AI (XAI)
Machine learning
BPE
Q71003
LIME
Explainable AI (XAI)
Machine learning
BPE
Q71004
SHAP (SHapley Additive exPlanations)
Explainable AI (XAI)
Machine learning
BPE
Q71005
Random Forest Regressor/Classifier
Ensembles & boosting
Machine learning
BPE
Q71006
CatBoost
Ensembles & boosting
Machine learning
BPE
Q71007
LightGBM
Ensembles & boosting
Machine learning
BPE
Q71008
Voting Ensemble Model
Ensembles & boosting
Machine learning
BPE
Q71009
XGBoost
Ensembles & boosting
Machine learning
BPE
Q71010
Stacking Ensemble Model
Ensembles & boosting
Machine learning
BPE
Q71011
Isolation Forest Anomaly Detection
Anomaly detection
Machine learning
BPE
Q71012
One-Class SVM Anomaly Detection
Anomaly detection
Machine learning
BPE
Q71013
Explainable AutoML Pipeline
AutoML
Machine learning
BPE
Q71014
Decision Tree / CART
Supervised learning basics
Machine learning
BPE
Q71015
K-Nearest Neighbors (KNN)
Supervised learning basics
Machine learning
BPE
Q71016
Naive Bayes Classification
Supervised learning basics
Machine learning
BPE
Q71017
Support Vector Machine / Regression (SVM/SVR)
Supervised learning basics
Machine learning
BPE
Q72001
Graph Neural Network (GNN / GCN)
Graph neural networks
Deep learning
BPE
Q72002
NeuralProphet
Deep learning forecasting
Deep learning
BPE
Q72003
DeepAR Forecasting
Deep learning forecasting
Deep learning
BPE
Q72004
N-BEATS Forecasting
Deep learning forecasting
Deep learning
BPE
Q72005
N-HiTS Forecasting
Deep learning forecasting
Deep learning
BPE
Q72006
Temporal Convolutional Network (TCN)
Deep learning forecasting
Deep learning
BPE
Q72007
Temporal Fusion Transformer (TFT)
Deep learning forecasting
Deep learning
BPE
Q72008
Autoencoder / Variational Autoencoder (VAE)
Generative models
Deep learning
BPE
Q72009
Generative Adversarial Network (GAN)
Generative models
Deep learning
BPE
Q72010
Convolutional Neural Network (CNN / 1D-CNN)
Neural architectures
Deep learning
BPE
Q72011
Recurrent Neural Network (LSTM / GRU / BiLSTM)
Neural architectures
Deep learning
BPE
Q72012
Transformer Neural Network Architecture
Neural architectures
Deep learning
BPE
Q72013
Multi-Layer Perceptron (MLP)
Tabular neural networks
Deep learning
BPE
Q72014
TabNet Architecture
Tabular neural networks
Deep learning
BPE
Q73001
BERT-based Text Quantitative Classification
LLM & transformers
Text & NLP
BPE
Q73002
LLM Zero-Shot / Few-Shot Classification
LLM & transformers
Text & NLP
BPE
Q73003
Retrieval-Augmented Generation (RAG) Analysis
LLM & transformers
Text & NLP
BPE
Q73004
Sentence-BERT Semantic Similarity
LLM & transformers
Text & NLP
BPE
Q73005
Text Sentiment Analysis
Sentiment analysis
Text & NLP
BPE
Q73006
TextRank Summarization
Summarisation & keywords
Text & NLP
BPE
Q73007
KeyBERT Keyword Extraction
Summarisation & keywords
Text & NLP
BPE
Q73008
FastText Vector Embedding
Embeddings
Text & NLP
BPE
Q73009
Word2Vec Vector Embedding
Embeddings
Text & NLP
BPE
Q73010
TF-IDF Analysis
Text mining basics
Text & NLP
BPE
Q73011
LDA Topic Modeling
Topic modelling
Text & NLP
BPE
Q73012
NMF Topic Modeling
Topic modelling
Text & NLP
BPE
Q73013
BERTopic Modeling
Topic modelling
Text & NLP
BPE
Q81001
Instrumental Variable Estimation (IV)
Instrumental variables
Causal inference
BPE
Q81002
Two-Stage Least Squares (2SLS)
Instrumental variables
Causal inference
BPE
Q81003
Propensity Score Matching (PSM)
Selection bias correction
Causal inference
BPE
Q81004
Heckman Two-Stage Selection Model
Selection bias correction
Causal inference
BPE
Q81005
Inverse Probability Weighting (IPW)
Selection bias correction
Causal inference
BPE
Q81006
Instrumental Variable Forest
Heterogeneous treatment effects
Causal inference
BPE
Q81007
Structural Causal Model / DAG
Causal structure identification
Causal inference
BPE
Q81008
Difference-in-Differences (DiD)
Quasi-experimental design
Causal inference
BPE
Q81009
Event Study Quantitative Design
Quasi-experimental design
Causal inference
BPE
Q81010
Staggered Difference-in-Differences
Quasi-experimental design
Causal inference
BPE
Q81011
Augmented Synthetic Control Method
Synthetic control
Causal inference
BPE
Q81012
Matrix Completion for Causal Inference
Synthetic control
Causal inference
BPE
Q81013
Synthetic Control Method (SCM)
Synthetic control
Causal inference
BPE
Q81014
Regression Discontinuity Design (RDD)
Regression discontinuity
Causal inference
BPE
Q81015
Regression Discontinuity with Covariates
Regression discontinuity
Causal inference
BPE
Q81016
Regression Discontinuity in Time (RDiT)
Regression discontinuity
Causal inference
BPE
Q81017
Marginal Effects Analysis
Effect interpretation
Causal inference
BPE
Q82001
Meta-Regression
Heterogeneity modelling
Meta-analysis
BPE
Q82002
Meta-Analysis
Effect-size synthesis
Meta-analysis
BPE
Q83001
Analytic Hierarchy Process (AHP)
Multi-criteria decision
Decision & efficiency analysis
BPE
Q83002
Importance-Performance Analysis (IPA)
Multi-criteria decision
Decision & efficiency analysis
BPE
Q83003
Conjoint Analysis
Preference measurement
Decision & efficiency analysis
BPE
Q83004
Hierarchical Bayes Conjoint
Preference measurement
Decision & efficiency analysis
BPE
Q83005
Fuzzy Set Qualitative Comparative Analysis (fsQCA)
Qualitative comparative analysis
Decision & efficiency analysis
BPE
Q83006
Data Envelopment Analysis (DEA)
Efficiency analysis
Decision & efficiency analysis
BPE
Q83007
Stochastic Frontier Analysis (SFA)
Efficiency analysis
Decision & efficiency analysis
BPE

Looking for a custom analytics model?

The Quorant analytics team will recommend the optimal framework for you.

Pricing

Find the Right Plan
for Your Research

Get the exact analysis solution you need, right when you need it.

Basic
$39/mo
Billed annually at $31.20/mo · $374.40 per year

For running foundational statistics on your own — hypothesis testing, correlation, basic regression and clustering.

  • Methods included42
  • Analyses per month5
  • Data per run10MB
  • DeliverablesCSV
  • Expert-verified reportNot included
  • SupportEmail
Most popular
Pro
$99/mo
Billed annually at $79.20/mo · $950.40 per year

For finishing theses and professional reports — SEM, multilevel, panel, time series and survival analysis included.

  • Methods included143
  • Analyses per month10
  • Data per run100MB
  • DeliverablesCSV · Figures · PDF
  • Expert-verified report1 / month
  • University discount−$20 / mo
Enterprise
$199/mo
Billed annually at $159.20/mo · $1,910.40 per year

For teams that need deep learning and advanced causal inference, with consulting and a dedicated manager.

  • Methods included184 · all
  • Analyses per month20
  • Data per run500MB
  • DeliverablesCSV · Figures · PDF
  • Expert-verified report3 / month
  • SupportDedicated manager
Cost per method Basic $0.93 Pro $0.69 Enterprise $1.08 Pro delivers the lowest cost per method — down to $0.55 with academic email verification.
Compare

Plan comparison in detail

ItemBasicProEnterprise
Monthly price$39$99$199
Annual billing (20% off)$31.20/mo$79.20/mo$159.20/mo
Methods included42143184
Analyses per month51020
Data per run10MB100MB500MB
Rows supported (approx.)50,000500,0003,000,000
Deliverable — CSV
Deliverable — visualisation files
Deliverable — PDF report
Expert-verified reportNot included1 / month3 / month
APA-formatted result tables
Statistical consulting
Presentation script
SupportEmailDedicated managerDedicated manager

● included · ○ not included. Higher plans contain every method from the plans below them.

Academic programs

Explore Benefits Built to
Ease Your Budget

01

Student & Graduate Discount

This exclusive discount is designed for undergraduate and graduate students carrying the financial burden of coursework and thesis writing. Undergraduate students who have completed at least four semesters, as well as graduate students who are currently enrolled (including completion and research status) or on leave, are eligible. A Pro plan discount code will be sent to your verified university email.

02

QCAP Certification Exam Discount

Pro and Enterprise subscribers receive a 50% discount coupon for the Quorant Certified Analytics Professional (QCAP) exam. Annual subscribers receive one free exam voucher. Upon earning the certification, you will receive a verified certificate ready to be added to your resume.

03

Refer-a-Researcher Credit

Invite fellow researchers or teammates to Quorant. When your referee completes their first subscription, both you and your peer will immediately receive one free voucher for an expert analytics report.

04

Academic Society & Institute Partnership

Exclusive partnership benefits for participants of Quorant-affiliated academic conferences and researchers at private research institutes. Enter your institutional affiliate code to unlock an extra 20–30% discount across all plans, along with customized corporate and institutional licensing options.

05

Quorant Academic Ambassador

We are looking for graduate students to shape the academic research ecosystem together with Quorant. Selected ambassadors receive unlimited access to all Enterprise features during their term, co-author research papers with the Quorant team, and participate in various projects.

06

Global Equity Program

Bridging the global research divide for students, graduate students, and researchers in UN-designated target regions or under-resourced research environments. Granted after a brief review of your research proposal, providing a 50% discount on the Enterprise plan along with one year of dedicated technical research support.

FAQ

Pricing questions

What happens when I use up my monthly analyses?

Your allowance resets on the next billing date. If you need more analyses before then, you can move up to a higher plan.

Can I combine the annual discount with the university email discount?

Yes, both apply. Once your academic verification is confirmed you receive a discount code, and entering it applies the reduction. Codes are issued in limited quantity each month; if none are left, the pool resets on the first day of the following month.

What makes the expert-verified analysis report different?

Separate from the automatically generated deliverables, it is a report in which a specialist personally reviews the analysis design and writes up the interpretation. It adds a step that re-checks the AI agent's output for errors, which is what makes it highly reliable. Pro includes one per month and Enterprise three.

How does statistical consulting work?

Statistical consulting is included with Enterprise once a month. It is most useful when you are unsure which methodology suits the data you want to analyse, and it gives you substantive feedback before you commit to an approach.

How is the presentation script provided?

Based on your analysis results, we write a script covering how to interpret the findings in an actual presentation. Depending on the methodology it runs from one to six minutes of material, delivered as a Word or TXT file.

What happens to my data after analysis?

Once the analysis completes, the raw data is destroyed immediately.

Can I use the results in a thesis or a commercial report?

Yes. The rights to use the generated deliverables belong to you, and the output already matches journal submission formatting.

Are You an Enterprise or Institution?

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About

분석을 대신하지 않습니다.
결과물을 만듭니다.

Quorant는 통계 소프트웨어를 파는 회사가 아닙니다. 데이터를 가진 사람이 코드를 배우지 않고도 논문과 보고서에 바로 쓸 수 있는 결과물을 받도록 만드는 것이 유일한 목표입니다.

Why we exist

우리가 푸는 문제

분석이 어려운 것이 아니라, 분석에 도달하기까지가 어렵습니다
업로드에서 결과물까지의 거리를 줄입니다
외주 컨설팅은 견적 회의만 두 번 하고 착수를 못 합니다
구독 한 번으로 당일에 시작합니다
무료 통계 도구는 학습 곡선이 곧 비용입니다
방법론을 고르는 것으로 학습을 대체합니다
How we work

사람이 아니라
절차로 신뢰를 담보합니다

누가 만들었는지보다, 어떻게 검증했는지가 연구자에게 더 중요합니다.

방법론마다 대조 검증
184개 방법론 각각에 대해 R·Python 표준 라이브러리로 동일 데이터를 돌려 결과가 일치하는지 확인한 뒤 배포합니다.
분류는 계보를 따릅니다
차원축소를 군집에, 의사결정기법을 머신러닝에 넣지 않습니다. 8개 대분류·23개 카테고리는 방법론의 통계적 계보를 기준으로 정리했습니다.
해석까지 사람이 봅니다
Pro 월 1회, Enterprise 월 3회 제공되는 검증 보고서는 자동 산출물이 아니라 전문가가 모형 설정과 해석을 직접 검토해 작성합니다.
Company

회사 정보

회사명Quorant
대표자Minkyu Kim
위치City of Toronto, Canada
사업 영역구독형 데이터분석 플랫폼
제공 방법론184
문의문의 페이지
Programs

연구 접근성

예산이 연구의 상한이 되지 않도록 세 가지 프로그램을 운영합니다. 대학 이메일 인증 할인, Academic Ambassador, 그리고 UN 기준 글로벌 연구 격차 해소 대상 지역을 위한 Global Equity Program입니다.

오늘 업로드하면,
오늘 결과를 받습니다.

Security & verification

학술지 인용 기준을 준수하는
검증된 분석 엔진

연구 데이터는 대체할 수 없는 자산입니다. 어떻게 다루는지, 결과를 어떻게 검증하는지 전부 공개합니다.

Standards

세 가지 약속

학술·산업 표준 준수
APA 스타일 통계 표기법을 완벽 지원합니다. 계수, 표준오차, 유의수준, 적합도 지수가 학술지 투고 형식 그대로 출력되어 재조판이 필요 없습니다.
데이터 보안
전송 구간은 TLS로 보호되고 저장 시에도 암호화됩니다. 분석이 완료되면 업로드된 원본 데이터는 즉시 파기되며, 결과물만 계정에 남습니다.
검증된 알고리즘
R·Python 핵심 통계 라이브러리와 100% 동일한 결과를 산출하도록 184개 방법론 전부를 개별 대조 검증한 뒤 배포합니다.
Data lifecycle

업로드한 데이터가 거치는 경로

원본 데이터는 분석에만 사용되고, 그 외 어떤 목적으로도 활용되지 않습니다.

01
업로드
TLS로 암호화된 채널로 전송됩니다. 파일은 계정별로 격리된 저장소에 들어갑니다.
02
암호화 저장
분석이 진행되는 동안만 암호화된 상태로 보관됩니다.
03
분석
선택한 방법론으로 계산합니다. 데이터는 모델 학습이나 다른 이용자의 분석에 쓰이지 않습니다.
04
원본 파기
완료 즉시 원본이 삭제됩니다. 계정에는 CSV·시각화·PDF 결과물만 남습니다.
Metrics

지표 산출 근거

홈에 표기한 수치가 어떻게 측정되었는지 밝힙니다.

300+누적 가입 계정 중 최근 12개월 내 1회 이상 분석을 실행한 개인·기관 수
75%도입 전후 보고서 작성 소요 시간을 직접 비교 응답한 이용 기관의 평균 단축률
100%184개 방법론 각각을 동일 데이터로 R·Python 표준 라이브러리와 대조했을 때 결과가 일치한 비율
2,000+최근 6개월 월평균 분석 실행 건수

측정 기준일과 표본은 갱신 시점마다 이 페이지에 함께 표기합니다.

더 확인하고 싶은 점이 있나요?

기관 도입 시 필요한 보안 검토 자료를 별도로 제공합니다.

FAQ

자주 묻는 질문

찾는 답이 없다면 문의 페이지로 알려주세요. 영업일 기준 1일 이내에 답변드립니다.

Plans

요금제

요금제를 중간에 변경할 수 있나요?

가능합니다. 상위 요금제로 변경하면 즉시 적용되며 차액이 일할 계산됩니다. 하위 요금제로 변경하면 현재 결제 기간이 끝난 뒤부터 적용됩니다.

월 분석 횟수를 다 쓰면 어떻게 되나요?

다음 결제일에 횟수가 초기화됩니다. 남은 기간에 추가 분석이 필요하면 상위 요금제로 변경하거나 회당 추가 이용권을 구매할 수 있습니다.

연 결제 할인과 대학 이메일 할인을 함께 받을 수 있나요?

함께 적용됩니다. 연 결제 20% 할인 후 금액에서 대학 인증 할인이 추가로 반영됩니다.

해지하면 남은 기간은 어떻게 되나요?

해지 시점과 관계없이 이미 결제한 기간의 종료일까지 모든 기능을 이용할 수 있습니다. 이후 자동 갱신되지 않습니다.

대학 이메일 인증은 어떻게 하나요?

결제 화면에서 소속 대학 이메일을 입력하면 6자리 인증번호가 발송됩니다. 인증은 12개월마다 갱신합니다.

Analysis

분석

어떤 파일 형식을 지원하나요?

CSV와 Excel(XLSX) 파일을 지원합니다. 첫 행이 변수명이고 한 행이 한 관측치인 정형 데이터 형태여야 합니다.

데이터 용량을 초과하면 어떻게 하나요?

Basic 10MB, Pro 100MB, Enterprise 500MB가 1회 업로드 한도입니다. 초과 시 분석 대상 변수만 남겨 파일을 줄이거나 상위 요금제로 변경하시면 됩니다.

어떤 방법론을 써야 할지 모르겠습니다.

방법론 카탈로그에서 8개 영역과 23개 카테고리로 좁혀 나갈 수 있습니다. 그래도 판단이 어려우면 데이터 구조와 알고 싶은 것을 문의로 보내주시면 적합한 방법론을 안내해 드립니다.

분석 결과가 예상과 다르면 다시 요청할 수 있나요?

계산 오류나 설정 착오로 확인되는 경우 재분석은 횟수에서 차감하지 않습니다. 결과가 가설과 다른 것은 오류가 아니므로, 이 경우 검증 보고서를 통해 해석을 도와드립니다.

전문가 검증 분석 보고서는 무엇이 다른가요?

자동 산출되는 결과물과 별개로, 모형 설정이 적절한지와 결과를 어떻게 읽어야 하는지를 전문가가 직접 검토해 작성한 문서입니다. Pro는 월 1회, Enterprise는 월 3회 제공됩니다.

Data

데이터·보안

업로드한 데이터는 어떻게 처리되나요?

전송과 저장 모두 암호화되며, 분석이 끝나면 원본은 즉시 파기됩니다. 모델 학습이나 다른 이용자의 분석에 사용하지 않습니다. 자세한 처리 경로는 보안 및 검증 페이지에 있습니다.

개인정보가 포함된 데이터를 올려도 되나요?

이름·연락처·식별번호 등 직접 식별 정보는 제거하거나 익명 코드로 대체한 뒤 업로드하시기를 권합니다. 통계 분석에는 식별 정보가 필요하지 않습니다.

분석 결과를 논문이나 상업용 보고서에 사용해도 되나요?

가능합니다. 산출된 결과물의 사용 권리는 이용자에게 있으며, APA 표기법을 따르므로 학술지 투고 형식에 바로 맞습니다.

결과물은 얼마나 보관되나요?

구독이 유지되는 동안 계정에서 언제든 다시 내려받을 수 있습니다. 원본 데이터와 달리 결과물은 파기되지 않습니다.

답을 찾지 못하셨나요?

Contact

무엇을 도와드릴까요

요금제 문의, 기관 도입 상담, 방법론 선택 도움까지 모두 받습니다. 영업일 기준 1일 이내에 답변드립니다.

Send a message

문의 남기기

보내주신 내용은 문의 응대 목적으로만 사용되며, 처리 후 파기됩니다.

전송 준비 완료

현재는 화면 시안 단계로 실제 전송은 연결되어 있지 않습니다. 백엔드 연동 후 정상 발송됩니다.

Direct

연락처

회사명Quorant
대표자Minkyu Kim
위치City of Toronto, Canada
응답 시간영업일 기준 1일 이내
도입 상담Enterprise 도입은 전담 담당자가 배정되어 별도 안내드립니다
Careers

Build the tools researchers actually finish their work with

Quorant is a small, research-native team in Toronto. We care about one thing: shortening the distance between a dataset and a defensible result. If that problem is familiar to you, we would like to talk.

How we work

Three commitments

Methodology first
Every feature is checked against the statistical literature before it ships. Being fast is never a reason to be wrong.
Remote-friendly, Toronto-anchored
Core hours overlap with Eastern Time. Where you work from is your call.
Research time is paid time
Everyone gets dedicated hours for papers, coursework or open-source work.

Not sure which role fits?

Send us what you have been working on. We read everything.