Affirm Journal of Statistics for Social Sciences

Affirm Journal of Statistics for Social Sciences is an international and peer-reviewed journal with an intercontinental advisory board. The journal documents the professional’s interest in any areas that connect to statistics for social sciences. The focus of the journal is on theories and practice in descriptive statistics, correlation principles and methods, simple and multiple regression, sampling methods and theory, statistical quality control, and statistical prediction. The editorial board of the Affirm Journal of Statistics for Social Sciences invites authors to submit original papers, case studies and review papers to the journal. At Affirm Journal of Statistics for Social Sciences, we expect the authors to abide Principles of Transparency and Best Practice in Scholarly Publishing suggested by The Committee on Publication Ethics (COPE), the Directory of Open Access Journals (DOAJ), the Open Access Scholarly Publishers Association (OASPA), and Scopus.

Scope and Focus

Analysis of Financial Data
Analysis of Variance
Correlation Principles and Methods
Cumulative Distributions
Descriptive Statistics
Determination of Sample Size
Experimental Design
Frequency Distribution
Hypothesis Testing
Measures of Central Tendency
Measures of Variability
Non-parametric Statistics
Normal Curve
Presentation of Statistical Data
Probability Distributions
Sampling Methods and Theory
Simple and Multiple Regression
Small-Sample Statistics
Statistical Inference
Statistical Prediction
Statistical Quality Control
Testing of Hypotheses
The Reliability of Estimates

Editor in chief

Dr. Loghman

Abstracting and Indexing

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