QUANTITATIVE RESEARCH-PhD

A branch of mathematics that deals with the study of collecting, analyzing, interpreting, presenting, and organizing data in a particular manner.

• Statistics

• Research

• Quantitative

• Probability

It is used to conclude the data. Inferential statistics requires statistical tests performed on samples, and it draws conclusions by identifying the differences between the 2 groups. Tests calculate the p-value that is compared with the probability of chance(α) = 0.05. If the p-value is less than α, then it is concluded that the p-value is statistically significant.

• Quasi

• Descriptive Statistics

• Inferential statistics

• Simple Statistics

Analysis tool used in statistics that splits an observed aggregate variability inside a data set into two parts: systematic and random factors. The systematic factors have a statistical influence on the given data set, while the random factors do not. Analysts use this test in a study.

• Linear Regression

• Multiple

• Regression

• ANOVA

It reflects the strength and/or direction of the relationship between two (or more) variables.

• Linear Regression

• Correlation

• Regression

• ANOVA

A statistical method used in finance, investing, and other disciplines that attempts to determine the strength and character of the relationship between one dependent variable (usually denoted by Y) and a series of other variables (known as independent variables).

• Topology

• Correlation

• Regression

• ANOVA

Refers to how accurately a method measures what it is intended to measure.

• Validity

• Reliability

• Ethical Considerations

• Effectiveness

A statistical technique used to reduce data to a smaller set of summary variables and explore the phenomena' underlying theoretical structure.  It is used to identify the structure of the relationship between the variable and the respondent.

• Alpha

• Hypothesis Testing

• Exploratory Factor Analysis

• p value

The variables that experimenters control during an experiment to determine their effect on the response variable.

• SD

• P value

• Exploratory Factor Analysis

• Factor

A statistical technique that allows users to investigate patterns of effect within a system of variables. It is one of several types of the general linear model that examine the impact of a set of predictor variables on multiple dependent variables

• Path Analysis

• Structural Equation Model

• Quantitative Research

• Mixed Methods

A multivariate statistical analysis technique that is used to analyze structural relationships.  This technique is the combination of factor analysis and multiple regression analysis, and it is used to analyze the structural relationship between measured variables and latent constructs.

• Path Analysis

• Structural Equation Model

• Quantitative Research

• Mixed Methods