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Logistic Regression Model Application in Research

  Logistic Regression Model for Bank loan Default Selection A logit model (or logistic regression model) is a statistical method used to predict the probability of a binary outcome (like yes/no, success/failure) based on one or more independent variables. It transforms a linear combination of predictors into probabilities between 0 and 1 using the logistic function. Example Imagine a bank wants to predict whether a loan applicant will default: Dependent variable: Default (1 = yes, 0 = no) Independent variables: Income, credit score, age The logit model estimates how these factors influence the probability of default. Let’s build a logit model example for predicting bank loan default using the three independent variables we mentioned: Income, Credit Score, and Age . Example: Bank Default Prediction Model Setup Dependent variable (Y): Default (1 = default, 0 = no default) Independent variables (X): (X_1): Income (in $10...

What is SPSS and SmartPLS?

  SPSS vs SmartPLS Comparision   Use SPSS ➜ when your study is simple, explanatory, or comparative Use SmartPLS ➜ when your study is theory-driven, predictive, or model-based Comparision Criteria SPSS SmartPLS Main purpose Statistical analysis Structural Equation Modeling (SEM) Best for Descriptive & inferential stats Complex causal models Type of analysis Regression, t-test, ANOVA PLS-SEM Sample size Medium to large Small to medium Data normality Required Not required Latent variables ❌ Not supported ✅ Fully supported Path models ❌ No ✅ Yes Mediation / moderation Limited Strong & visual Journal preference Social sciences, po...

Variables in Research Model

  Variables When we model in a research any or create a conceptual framework / diagram then  variables  help us. There are 4 variables. These are- Independent Variable Dependent Variable Mediating Variable Moderating Variable 1. Independent Variable (IV) The cause or predictor . It is the variable you manipulate or consider as influencing another variable. Example: Leadership style, training, budget, technology. 2. Dependent Variable (DV) The effect or outcome . It is what you measure and what you expect to change because of the independent variable. Example: Green procurement performance, employee productivity, customer satisfaction. 3. Mediating Variable (Mediator) Explains how or why an independent variable affects a dependent variable. one or more than one mediating variable can be.  A mediator sits between the IV and DV. Example: Leadership style → Innovation capability (mediator) → Green procurement. This means leadership style i...

What income sources can be generated for a training, research and consulting academy?

A training, research, and consulting academy can generate income from a variety of sources depending on its core competencies, audience (corporate, academic, government, or general public), and market positioning. Below is a categorized list of potential income streams: 1. Training Services      A. In-person Training & Workshops Corporate training programs (e.g., leadership, compliance, digital transformation) Public workshops and seminars Certification courses (e.g., PMP, Six Sigma, Agile)      B. Online Training Live webinars and virtual workshops On-demand video courses Subscription-based learning platforms      C. Custom Training Programs Tailored training packages for businesses or institutions White-labeled training content 2. Consulting Services Business strategy consulting (e.g., organizational change, innovation) Technical consulting (e.g., IT, engineering, data analytics) HR and workforc...

Research Related Advanced Tools

  Research Related tools Dr. Engr. Md. Abdur Rashid Director (Admin & Finance), NAPD Here are some list of advanced research tools that are very helpful for researcher and students. From my experiences, I got benefit from using theses tools at my research. Plagiarism Checkers Turnitin – Widely used in academia. iThenticate – Designed for scholarly publishing. Grammarly Premium – Includes plagiarism detection. Writing & Publishing Tools Grammarly / Hemingway Editor – Writing enhancement. LaTeX / Overleaf – Professional typesetting for research papers. Data Analysis Tools SPSS – Statistical analysis, often used in social sciences. R / RStudio – Open-source statistical computing. Python (with NumPy, pandas, SciPy, etc.) – General-purpose programming and analysis. Stata / SAS – Used in economics, epidemiology, and biostatistics. NVivo / Atlas.ti – Qualitative data analysis. Data Collection & Survey Tools Qualtrics – Advanced surve...

Difference between Blogging and Knowledge Management

Difference between Blogging and Knowledge Management   Dr. Engr. Md. Abdur Rashid Director (Admin & Finance) NAPD , Bangladesh The fundamental difference between blogging and knowledge management lies in their purpose, scope, and structure: Purpose : Blogging : The main purpose of blogging is to share personal thoughts, opinions, or expertise on specific topics. It is often informal and intended to engage readers, foster discussions, and build a community. Knowledge Management (KM) : Knowledge management focuses on organizing, storing, and sharing knowledge within an organization to improve efficiency and decision-making. Its aim is to capture and make useful knowledge accessible to the right people at the right time. Scope : Blogging : Blogs are typically focused on a particular topic, subject, or personal interest, and can be targeted at a broad or niche audience. They can be written by individuals or teams but are often external-facing and public. Kn...