Data analysis

Chi square test with the help of SPSS

A chi square (X2) statistic is used to investigate whether distributions of categorical variables differ... More

How to test one way ANOVA in SPSS?

ANOVA or Analysis of Variance is conducted to determine the significant differences between the means... More

How to handle a negative Cronbach’s alpha value?

Sometimes Cronbach’s alpha value is negative, i.e. below 0. This article explains how to handle... More

Criteria for reliability and validity in SEM analysis

The principles of validity and reliability in SEM are used to assess the quality of... More

Descriptive analysis terminologies in statistics

Descriptive analysis is a popular method of examining a dataset’s characteristics. In this article, we... More

Understanding the correlation and regression analysis values

This article explains the different correlation and regression analysis values that are generated after conducting... More

Understanding the application of Structural Equation Modelling (SEM)

SEM establishes the relationship between two or more variables. It also determines the efficiency of... More

Forecasting the movement of growth, income & value stocks using ARIMA

Examining the nature of growth, income, and value stocks over the period 2000 to 2020... More

Primary data coding procedure for statistical analysis

The first step in the process of statistical analysis is primary data coding. This refers... More

Analysing annualized average returns from BSE listed stocks

The annualized average returns is the value of returns earned by investors annually by investing... More

Predicting value stocks trend using ARIMA

This article identifies the forecast model for value stocks for 303 stocks listed in the... More

Forecasting income stocks trend with the ARIMA model

Investors deal with uncertainties in the stock market in order to optimize financial returns. This... More

Forecasting growth stocks trend in the stock market with the ARIMA model

Among the technical analysis method of forecasting, ARIMA model is considered a flexible statistical method... More

Investment diversification with momentum hybrid performance

Momentum hybrid performance helps an investor assess how to combine different types of stocks to... More

Medium-term momentum analysis of growth, income and value stocks

Momentum analysis and medium-term momentum analysis refers to the process of examining the past performance... More

Conditional CAPM analysis for stock-based investing

They do not shed light on the linkage between return and risk. The CAPM analysis... More

Short term momentum analysis of growth, income and value stocks

Short term momentum analysis represents the change experienced by stock prices over a specified period... More

Inferential analysis to compare the performance of stocks listed in the BSE (2011-2020)

Comparison of annualized average return over a market return enables investors to understand the return... More

Performance assessment of growth, income, and value stocks listed in the BSE (2015-2020)

It is essential to examine the influence of the Bombay Stock Exchange (BSE) crashes on... More

Trend analysis of stocks performance listed in BSE (2011-2020)

Global markets crashed after the 2008 recession is one of the best examples. In such... More

Annual average returns and market returns for growth, income, and value stocks (2005-2015)

Due to diverse impacts and severe threats to investors, there is a need to examine... More

Trend analysis of average returns of BSE stocks (2000-2010)

The annual average returns of a stock define the earning possibility of investor from a... More

Risk tolerance by stocks categorization using ratio analysis

Stocks categorization is the process wherein stocks are classified into three categories. Ratio analysis is... More

Methodology to analyze the dynamic behavior of investors in the Indian stock market

The study aims in understanding dynamism in the Indian stock market and formulating a model... More

An introduction to stock market trend analysis

Stock market trend analysis or equity market trend analysis refers to the process of examining... More

Different types of stock market analysis

The stock market analysis aims at predicting the movement of the stock market and price... More

Capital Asset Pricing Model (CAPM) to determine stock value

Stock prices are important while calculating risk in stock and optimizing the portfolio value of... More

What is null and alternative hypothesis?

To answer how does online learning affect students’ skill development? The hypothesis is generally presented... More

Understanding various hypothesis testing steps

This article emphasizes the process of various hypothesis testing steps. A research hypothesis is a... More

How to accept or reject a hypothesis?

When a hypothesis is presented negatively (for example, TV advertisements do not affect consumer behavior),... More

How to calculate the sample size of primary research?

The calculation of the sample size is to determine the number of units or items... More

A comparison of descriptive research and experimental research

There are different types of quantitative research such as survey research, descriptive research, experimental research,... More

Risk return analysis of income, value and growth stocks

For a stakeholder, risk and return are essential considerations in the investment decision-making process. In... More

Categorizing stock market investments into income, growth & value stock

The stock market is crucial to the economic performance of a country. Apart from being... More

Why is it important to test heteroskedasticity in a dataset?

Heteroskedasticity refers to the state of systematic changes in the spread of residuals or the... More

Why conduct a multicollinearity test in econometrics?

A multicollinearity test helps to diagnose the presence of multicollinearity in a model. Multicollinearity refers... More

How to test normality statistically?

Data scientists strictly prefer to test normality and work on normally distributed data because of... More

How to graphically test normality?

Normality test identifies the nature of the distribution of data of a given variable. Normal... More

How to work with a moderating variable in the regression test with SPSS?

Influencing or control variables are said to be a moderating variable and the effect of... More

How to work with a mediating variable in a regression analysis?

When the linkage between 2 variables exists through a middle variable. This middle variable is... More

How to process the primary dataset for a regression analysis?

Regression analysis signifies the extent of the relationship between the dependent and independent variables.

What is the relevance of significant results in regression analysis?

Regression analysis is the statistical measurement which helps in linking the variables and determining the... More

How to improve the correlation between the variables?

Correlation refers to the extent of a relationship between the variables. In order to determine... More

Quantitative data characteristics

Qantitative data refers to statistical datasets that express certain quantities, amounts and ranges.. Arithmetic operations... More

How to formulate a research strategy?

A research strategy refers to the step-by-step plan of action that gives direction to the... More

What are quantitative research sampling methods?

The quantitative research sampling method is the process of selecting representable units from a large... More

What is a stationarity test and how to do it?

Stationarity in stationarity test is a property of time series which states that the value... More

How to perform structural equation modelling (SEM) analysis with AMOS?

Structural equation modelling analysis being the multivariate statistical tool helps in determining the direct and... More

What is Structural Equation Modelling (SEM) analysis?

Structural Equation Modelling (SEM) analysis is a statistical method used in social science studies for... More

How is qualitative data analysed?

This article focusses on techniques used to analyse qualitative data. The choice of technique depends... More

Steps to conduct the capital asset pricing model (CAPM)

Capital asset pricing model (CAPM) is a method of estimating the risks of investing in... More

Different methods of conducting momentum analysis

In the previous article, different data types and challenges faced while conducting momentum of daily... More

An introduction to momentum analysis

Momentum analysis is mainly done to measure the rate of rising or fall in stock... More

How and when to use Paired sample T-test?

A paired sample t-test is used to determine whether there is a significant difference between... More