Applied Psychometrics November 2025

Organized by Rabindrik Psychotherapy Research Institute Trust (RPRIT), Registered Academic Trust by Indian Trust Act,1882, REGD.NO.150600103, DARPAN ID WB/2025/0514195.

Background:

Rabindrik Psychotherapy Research Institute Trust (RPRIT), registered academic trust for higher learning under Indian Trust Act, 1882, has completed 7th term applied psychometrics course.

Modern psychological research increasingly demands the application of psychometric principles beyond theoretical construction and into real-life problem-solving contexts. Traditional psychometrics primarily focuses on the development and evaluation of psychological tests, emphasizing item characteristics, reliability, and validity. In contrast, applied psychometrics extends these principles into action research and real-world applications—where psychometric tools are used for diagnosis, intervention, and management in everyday life situations.

According to Dr. Debdulal Dutta Roy, PhD, the distinction between Psychometrics and Applied Psychometrics can be The distinction between Psychometrics and Applied Psychometrics lies primarily in their purpose and scope. Psychometrics is primarily concerned with the theoretical construction of psychological tests, focusing on the measurement of mental attributes through rigorous test development procedures. It emphasizes item statistics such as item difficulty, discrimination, and guessing, mainly to refine the quality and precision of test items. Psychometrics also aims to develop theories related to test reliability and validity and to establish generalized norms applicable across populations. Knowledge of applied areas is relatively less important in this domain, as the primary goal is to advance measurement theory and methodological precision.

In contrast, Applied Psychometrics extends these principles into real-life contexts where psychological tests are used to address and manage everyday human problems. It focuses on using item statistics not merely for test construction but for understanding human variability and designing interventions, often within the framework of action research. Reliability and validity coefficients are interpreted for solving practical problems rather than for theoretical refinement alone. Instead of relying on universal norms, applied psychometrics emphasizes situation-specific norms suited for classification, diagnosis, and management in particular contexts—such as clinical, educational, industrial, or environmental settings. Therefore, knowledge of applied areas becomes essential in applied psychometrics, as it enables researchers and practitioners to meaningfully explore variability, apply psychological principles, and support evidence-based management and decision-making.

This distinction underscores the transition from theoretical measurement models to applied frameworks that address human variability, management, and intervention.

The course, therefore, integrates psychometric theory with research methods, data analysis, and applied problem-solving, providing researchers in psychology and allied sciences with tools to design, analyze, and interpret psychological measures across diverse settings.

Recent Achievements & Recognition

RPRIT is the registered vendor for Tata Power in psychometric assessment. RPRIT has a strong track record of mentoring undergraduate students through research internships. In 2024, RPRIT offered research internships to 11 undergraduate students from Maharaja Manindra Chandra College on psychometric data analysis and 13 students from the department of applied psychology of the University of Calcutta. RPRIT received appreciation letters from these institutions in recognition of its contribution to student research and skill development. 

Additionally, RPRIT is proud to announce the publication of a book on statistics, developed in collaboration with Acharya Bangalore B-School (ABBS), Bangalore. This initiative brings together esteemed scholars, including Dutta Roy Sir, President of RPRIT, along with Prof. Naresh Babu and Dr. Sharma from ABBS. This collaboration reflects RPRIT’s commitment to advancing statistical knowledge and its practical applications in research and analysis.

Objective of course

This training introduces students, researchers, and professionals to the principles and practice of applied psychometrics for action research and PhD preparation. It blends theory with hands-on experience in test construction, reliability and validity estimation, and data analysis using JAMOVI and R-Studio. Trainees learn to measure psychological attributes, interpret data, and apply results across health, education, industry, and life skills. Through real datasets and practical exercises, the training builds skills to apply psychometrics in research and counseling, supporting academic and professional growth.

Post Learning: Trainees can customise the psychological test for action research in the industry potentially join the faculty at institutes like RPRIT.

Qualification and Eligibility

Open to Postgraduate students, researchers, and professionals with a background in Psychology, Education, or Allied Social Sciences, as well as those interested in learning applied data analysis and psychometrics.

Syllabus:

AP01: Introduction to Applied Psychometrics

AP01.1 Difference between Psychometrics and Applied Psychometrics, Scope, Application in Industry (competency mapping), Health (WHOQOL), School (School attitude), Forensic (Criminal profile analysis), Environment (Climate change), Clinical setting (BDI).

 AP01.2 Mental testing: WAIS-4, NEO FFI, Attitude to School infrastructure, Safe school perception, Reading and Writing motivation, Verbal reasoning, Achievement motivation, Organizational Health Questionnaire. 

 AP01.3 Characteristics of Good psychological test - Item characteristics, Reliability, Validity. 

 AP01.4 Questionnaire types and Construction. Norm and Norm estimation.

 AP01.5 Measurement Scales and Psychological tests - Nominal (Socio-economic survey), Ordinal (Rabindrik value preference survey). Interval (Achievement scale), Ratio (Osgood semantic differential scale).

AP02: Research Methods in Applied Psychometrics 

AP02.1 Experimental method- One way randomized design, Block design, Factorial design, Cross-sectional and long term design. Pre-post research design, Post-facto research design, Case control study. 

AP02.2 Observation- Controlled and Naturalistic observation. 

AP02.3 Qualitative research method-Case study, Grounded theory, Ethnography, Phenomenological Research, Narrative Research.

AP02.4 Survey method-structured and unstructured interview. Fact finding observation, online survey, Telephone survey, Panel Survey. 

AP02.5 Sampling-Simple random sampling, Circular sampling, Stratified Random sampling, Cluster sampling, Quota sampling, Purposive sampling - Maximum variation sampling, homogenous sampling, typical case sampling, extreme or deviant case sampling, critical case sampling, expert sampling.  

AP03: Foundation Statistics

AP03.1 Data summarization- Frequency, Percentage, Percentile, Central tendency, Variability. 

AP03.2 Normal probability curve characteristics - Skewness, Kurtosis, Area estimation. 

AP03.3 Parametric statistics - Mean differences, Correlation, Regression. 

AP03.4 Non-parametric statistics - Chi-square statistics, Rank order correlation, Mann Whitney U test, Sign test, Wilcoxon signed rank test, Kruskal wallis test. 

AP03.5 Psychoinformatics - Data reservoir, Data cleaning, Data Mining, Pattern recognition, Discovery of Knowledge.   

AP04: R-Studio and JAMOVI

AP04.1 File management, Vector, Data frame, Data organization, logical functions, character functions, Matrix manipulation.

AP04.2 Data transformation, Data summarization, Mean difference statistics, Correlation.

AP04.3 Cross tabulation, Non para metric statistics. 

AP04.4 Plotting categorical data, Bar plot, Stacked bar plot, Pie chart, Histogram, Scatter plot, Box plot 

AP04.5 Psych Package. 

AP05: Applied Psychometrics Across Fields (Health, Safety, School, Environmental, and Rabindrik Life Skills) and Practicum

AP05.1 Health Psychology • Psychometric assessment of well-being, stress, and quality of life (e.g., WHOQOL, Parental Stress Index) • JAMOVI applications: Reliability analysis, correlation, t-test, and regression for health-related data. 

AP05.2 Safety Psychology • Measuring organizational health, safety attitude, and accident proneness • JAMOVI applications: Chi-square, regression, and visualization of organizational safety data.

AP05.3 School Psychology • Assessing school attitude, reading-writing motivation, and safe school perception • JAMOVI applications: Descriptive statistics, reliability estimation, and percentile analysis.

AP05.4 Environmental Psychology • Measurement of climate change attitude, eco-anxiety, and environmental concern • JAMOVI applications: Factor analysis, rank order correlation, and visualization of environmental concern data.

AP05.5 Rabindrik Life Skills Psychology • Teaching and assessment of Rabindrik Life Skills through the Rabindrik Value Preference Scale (RVPS) • Exploration of value preference patterns, emotional balance, and decision-making through rank-based psychometric analysis • JAMOVI applications: Non-parametric statistics (Kruskal–Wallis, Mann–Whitney U), data visualization, and interpretation of value preference profiles.  

AP06: AI driven models

AP06.1 Supervised and Unsupervised Machine learning

AP06.2 AI with Personality and Aptitude

AP06.3 AI with Career Prediction

AP06.4 AI with Safety consciousness

AP06.5 AI with Rabindrik value orientation

Duration: 6 Months (72 Hours).

Credit points: 6

Registration Fee is non refundable: Rs.12k (one-time payment before 20th October)and 15k (in two instalments: 70% at enrolment and 30% in second month after 20th October).

Last Date of Registration: 29th October.

Class Starts: 1st November, 2025.

Class Ends: 30th April, 2026.

Day and Timings: 8-9 PM on Wednesday, Friday and Saturday.

Seats: 12.

Certificate: Certificate will be provided after training completion. A marksheet will be awarded only upon completion of both theoretical and practical components

Teaching Pedagogy: Access to digital study materials. Live sessions with expert instructors, Google classroom, WhatsApp group, Personalized feedback on assignments and practicums, The course includes hands-on practice with JAMOVI and R-Studio, allowing learners to apply statistical and psychometric techniques in real time. Resource persons will be internal and external faculties.

Important Dates:

Registration Starts: 09/10/2025.

Registration Closes:29/10/2025.

Class Starts:1st November 2025 (once 12 seats are filled).

Class Ends: After 6 months (approximately 30th April 2026).