Data Analysis Using SPSS in PhD: Comparing Different Methods

Welcome to our comprehensive guide on Data Analysis Using SPSS in PhD. Embarking on a doctoral journey is a monumental task, and one of its pivotal phases revolves around data analysis. In the world of academic research, particularly in the conte ..Read More

Understanding Hypothesis Testing and Statistical Modeling by using data analysis help using STATA

Welcome to the world of data analysis help using STATA! In this journey, we'll demystify hypothesis testing and statistical modelling, making quantitative analysis easier to grasp. No need for flowery language or dramatic flair – we' ..Read More

Why is Netnography becoming one of the most important research methodologies and how it can be a game changer for your research

First of all, let us understand why Netnography and for those who don’t know what Netnography is, please read the below paragraph. Netnography is a research method used in qualitative social science research that involves the study of online ..Read More

An Examination of Common Misconceptions about Statistical Significance and How to Interpret P-Values Correctly

Introduction Suppose you have passed an examination. Now, the statistical significance will help you to understand whether you have passed by luck or because of your knowledge. It is the basic idea of this and we will know more about it later in t ..Read More

Overview Of the Role of Power Analysis in the Planning and Design Stage of Research

Introduction A power analysis is a computation that determines the minimum sample size needed for an experiment given the necessary statistical power, effect size, and significance level. It aids in determining if an experiment or survey result is ..Read More

The Pros and Cons of Using Open-Source Software (R) versus Proprietary Software (SAS, SPSS) In PhD Research

Introduction Open-source software is referred to as computer software that has been made available under a licence that gives users the freedom to use, examine, modify, and share the software and its source code with any other person and also for ..Read More

Using Multivariate Analysis Techniques in PhD Research: A Critical Analysis of Their Capabilities and Limitations

Introduction First, let us understand what multivariate analysis is. In multivariate analysis (MVA), numerous variables (more than two) are analysed to find any potential relationships between them. By examining every potential independent variabl ..Read More

Exploring the Applications of Bayesian Methods in PhD Research

Introduction In Bayesian analysis, the prior distribution—a probability distribution for the unknown parameters—encodes the expert scientific judgment. Nowadays, PhD research is being done with the help of Bayesian methods to make the ..Read More

A brief guide measures of statistical data analysis

The area of statistics is the art of discovering from data. Statistical knowledge helps you use the precise techniques to manage the data, apply the accurate investigations, and efficiently display the events. Statistics is a significant method to in ..Read More

Forecasting Quantitative Time Series using statistical methods

Forecasting , or predicting is a vital tool in any decision making process. It uses vary from determining inventory requirements for local shop to estimating the annual sales of TV. The quality of forecasts management can be strongly related to the i ..Read More

How to Know When You Should Use Qualitative and Quantitative Studies

While writing a dissertation, you should justify and present the need to study the specific research problem and discuss the research approach that you have used to study the research problem in the dissertation proposal chapter. Outlining the resear ..Read More


Deep Learning is gaining popularity among Artificial intelligence group and data scientist group. It has become of the love of data lovers across the globe. Recently, researchers have started to question that deep learning is the future of Artificial ..Read More

Exploring in detail Kruskal Wallis Test which is an alternative to One way ANOVA

ANOVA attempts to analyse whether one independent variables explain the dependent variables. The independent variable is assumed to have an impact on the dependent variable. These independent variables are measured in interval or ordinal level. Also, ..Read More

Two-way randomized Anova: What it is and what it does

A two-way ANOVA is similar to a one-way ANOVA in that it analyzes the variance between groups and within groups. The logic is the same: if either of the variables has an effect, the variance within the group should be greater than the variance betwee ..Read More

Know How to Gather Primary Data for Your Research in Social Science

Research aims to determine reliable, authentic and unbiased answers to a research question.  This involves data collection, analysis and interpretation. In research, data can be collected through various methods like primary and secondary method ..Read More

A step-by-step guide to developing bubble chart in Excel

Academic research involves the collection and analysis of huge data sets (mostly complex) to arrive at the desired results. To communicate the data to the readers or to add sense to the collected data, it is a must for a scholar to visually represent ..Read More

Beginners Guide to Top 4 Regression Techniques in Data Science

Research in data science is incomplete with performing regression analysis. Running a regression test is no-brainer, provided you know ‘A-Z’ about the types & features of regression analysis techniques. While a handful of scholars are ..Read More

Radar chart: Representing your multivariate data in an effective manner

Bar charts, pie charts, and line charts are the popular data representation tools well-known to a researcher. But there is a lesser known visually powerful chart out there that packs a lot of information into a single image, the radar chart.  ..Read More

Bivariate analysis : A statistical method to determine the relationship between two continuous variables

The first step in performing an extensive research is to inspect the relationship between the outcome variable, i.e. the element of interest and the potential explanatory variables. However, the number of variable varies and so is the statistical app ..Read More

SurveyMonkey, Google Forms, or Qualtrics: Which is the best data collection tool?

Looking for the best survey or data collection tool for your research work? There are a number of data collection tools available in the market including Google forms, SurveyMonkey, and Qualtrics, which are suitable for your marketing needs. Each ..Read More

Designing a questionnaire: Qualitative Vs Quantitative

When designing a questionnaire, you may be faced with the question whether you need to design a qualitative or quantitative questionnaire. If you are confused, read on to know the difference between qualitative and quantitative questionnaires that wi ..Read More

A Quick Fix to Enhance the Research Skills of a PhD Candidate

Even though research is crucial for PhD, it should not consume all your time. Rather it should give you enough time to actually write effectively what you have researched. Research is not as difficult and challenging as it is made out to be. Scholars ..Read More

Warning: These 5 Mistakes Will Destroy Your dissertation

Drafting the perfect dissertation is crucial to attain your PHD degree and shape up your future. Read on to know the 5 common mistakes that can destroy your dissertation and tips to avoid them. Selecting the wrong topic Always remember the ..Read More

Surviving your PhD Thesis

Even the best of PhD students feel a sense of frustration over their academic progress, despite years of research and hard work. This fear is compounded when it comes to writing a thesis, especially if the student has none or little to show for any a ..Read More

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