Quantitative research relies on numerical data to describe and analyze phenomena. It is often used to test hypotheses and make generalizations about a population.

Experimental, quasi-experimental, and correlational designs are all types of quantitative research designs. Experimental designs involve manipulating an independent variable to observe its effect on a dependent variable. Quasi-experimental designs are similar to experimental designs, but they do not involve random assignment of participants to groups. Correlational designs are used to investigate the relationship between two or more variables.

A hypothesis in quantitative research serves multiple purposes. It provides a general explanation for a phenomenon, makes a prediction about the outcome of a study, and guides the collection and analysis of data.

Numerical data, categorical data, and ordinal data are all types of quantitative data. Numerical data is data that can be expressed as numbers, such as height, weight, or test scores. Categorical data is data that can be classified into different categories, such as gender, race, or socioeconomic status. Ordinal data is data that can be ranked, such as grades or levels of satisfaction.

A population is the entire group of individuals that a researcher is interested in studying, while a sample is a subset of the population that is actually studied. Researchers often use samples to study populations because it is not always possible or practical to study the entire population.

Random sampling is used in quantitative research to ensure that the sample is representative of the population, to reduce bias in the selection of participants, and to increase the generalizability of the findings.

Inferential statistics are used to make inferences about a population based on data from a sample. The t-test is a type of inferential statistic that is used to compare the means of two groups.

The p-value is the probability of obtaining a result as extreme as or more extreme than the observed result, assuming the null hypothesis is true. A low p-value indicates that the observed result is unlikely to have occurred by chance, and therefore provides evidence against the null hypothesis.

Survey research, experimental research, and observational research are all types of quantitative research methods. Survey research involves collecting data from a sample of individuals through questionnaires or interviews. Experimental research involves manipulating an independent variable to observe its effect on a dependent variable. Observational research involves observing and recording data without manipulating any variables.

A research proposal in quantitative research serves multiple purposes. It outlines the research question, methods, and expected outcomes of a study, it is used to obtain funding for a study, and it is used to gain approval from an institutional review board.

Descriptive statistics, inferential statistics, and regression analysis are all types of quantitative data analysis methods. Descriptive statistics are used to summarize and describe data, inferential statistics are used to make inferences about a population based on data from a sample, and regression analysis is used to investigate the relationship between two or more variables.

A correlation is a relationship between two variables, while a causal relationship is a relationship in which one variable causes the other variable to change. A correlation does not necessarily imply a causal relationship.

Selection bias, sampling bias, and measurement bias are all types of bias in quantitative research. Selection bias occurs when the sample is not representative of the population, sampling bias occurs when the sample is not selected randomly, and measurement bias occurs when the data collection instrument is not valid or reliable.

A literature review in quantitative research serves multiple purposes. It is used to identify and summarize existing research on a topic, to identify gaps in the research literature, and to develop a research question.

Journal articles, dissertations, and conference proceedings are all types of quantitative research reports. Journal articles are published in academic journals, dissertations are submitted to universities in partial fulfillment of a doctoral degree, and conference proceedings are published collections of papers presented at conferences.