- "Quantitative research is a research strategy that focuses on quantifying the collection and analysis of data."
Focuses on collecting and analyzing numerical data to test hypotheses and make predictions.
Research methodology: This topic covers the various methods that can be used for conducting research, such as experimental, observational, and quasi-experimental designs.
Statistical analysis: This topic is concerned with the mathematical techniques that are used to analyze data, such as t-tests, ANOVA, linear regression, and logistic regression.
Sampling: Sampling is the process of selecting a subset of individuals or objects from a larger population to be included in a study. This topic covers the different methods of sampling, such as probability and non-probability sampling.
Data collection: This topic is about the methods used to collect data, such as surveys, interviews, and measurements. It also covers the issues that arise during data collection, such as sample size, response rate, and bias.
Validity and reliability: Validity refers to the accuracy of research findings, while reliability refers to the consistency of research findings. This topic covers the different types of validity and reliability, such as internal validity, external validity, test-retest reliability, and inter-rater reliability.
Ethical considerations: This topic covers the ethical issues that arise during research, such as participant confidentiality, informed consent, and the use of deception.
Data visualization: This topic is concerned with the graphical representation of data, such as histograms, scatterplots, and box plots.
Data management: This topic covers the organization, storage, and retrieval of data, as well as issues such as data cleaning and missing data.
Hypothesis testing: This topic is about using statistical tests to determine whether research findings are statistically significant or due to chance.
Descriptive statistics: This topic covers the basic measures of central tendency and variability, such as mean, median, mode, range, and standard deviation.
Descriptive research: It aims to describe the characteristics of the population or phenomenon studied, without testing any specific hypothesis.
Correlational research: This type of research aims to identify a relationship between two or more variables.
Experimental research: The researcher manipulates one or more variables to observe the effect on the outcome variable in a controlled setting.
Quasi-experimental research: It shares similarities with experimental research but with the significant difference of lacking a control group.
Observational research: It involves observing individuals and gathering data in natural settings without any manipulation.
Survey research: Research that involves collecting data from a sample population using questionnaires or interviews for analysis.
Longitudinal research: It involves collecting data at multiple time points to examine changes over time.
Cross-sectional research: It involves collecting data only once from different subjects or populations.
Correlational survey research: Research that involves measuring one or more variables and examining the relationship between them.
Analytical survey research: Research that examines the relationship between variables while controlling for other variables.
Retrospective research: This type of research analyzes past data or events to gain a better understanding of a particular phenomenon.
Prospective research: It examines future events, behaviors or phenomena by looking at groups over time.
Case-control research: A type of retrospective research that compares individuals with a specific condition or disease to individuals who do not have that condition.
Cross-sectional studies: Uses data on individuals at one point in time, with the aim of estimating the prevalence of a condition in a population.
Cohort studies: Researchers observe a group of individuals over time, collecting data on the group and measuring any changes that occur.
Case studies: Researchers look at an individual, a group of individuals, or a situation in-depth, seeking detailed information.
Meta-analysis studies: A statistical technique that combines data from multiple studies, to form a single conclusion.
- "Quantitative research is formed from a deductive approach where emphasis is placed on the testing of theory."
- "Quantitative research is shaped by empiricist and positivist philosophies."
- "Associated with the natural, applied, formal, and social sciences, this research strategy promotes the objective empirical investigation of observable phenomena to test and understand relationships."
- "There are several situations where quantitative research may not be the most appropriate or effective method to use."
- "When exploring in-depth or complex topics." - "When studying subjective experiences and personal opinions." - "When conducting exploratory research." - "When studying sensitive or controversial topics."
- "The objective of quantitative research is to develop and employ mathematical models, theories, and hypotheses pertaining to phenomena."
- "The process of measurement is central to quantitative research because it provides the fundamental connection between empirical observation and mathematical expression of quantitative relationships."
- "Quantitative data is any data that is in numerical form such as statistics, percentages, etc."
- "Qualitative research, on the other hand, inquires deeply into specific experiences, with the intention of describing and exploring meaning through text, narrative, or visual-based data, by developing themes exclusive to that set of participants."
- "Quantitative research is widely used in psychology, economics, demography, sociology, marketing, community health, health & human development, gender studies, and political science."
- "Quantitative research is less frequently used in anthropology and history."
- "Research in mathematical sciences, such as physics, is also 'quantitative' by definition."
- "Quantitative methods can be used to verify which of such hypotheses are true."
- "A comprehensive analysis of 1274 articles published in the top two American sociology journals between 1935 and 2005 found that roughly two-thirds of these articles used quantitative method."