- "Quantitative research is a research strategy that focuses on quantifying the collection and analysis of data."
This topic covers the various quantitative research methods used in communication research, such as surveys, experiments, and content analysis.
Sampling Methods: This topic includes the different methods used for selecting a representative sample for a research study, including probability and nonprobability sampling techniques.
Survey Research Design: This topic covers the different types of survey research designs and how to develop a survey questionnaire that accurately measures the research variables.
Experiments: This topic focuses on experiment design, including manipulation of independent variables and use of control groups, to test causal relationships.
Quantitative Data Analysis: This topic covers the various statistical methods used to analyze quantitative data, including descriptive statistics, inferential statistics, and regression analysis.
Reliability and Validity: This topic focuses on the importance of reliability and validity in research studies, including measures for assessing the reliability and validity of research instruments.
Variables and Hypotheses: This topic covers the identification and operationalization of research variables and the development of hypotheses based on research questions.
Ethics in Quantitative Research: This topic focuses on ethical considerations in conducting research, including informed consent, confidentiality, and avoiding harm to research participants.
Data Collection Methods: This topic covers the use of different data collection methods, including surveys, interviews, and focus groups, and strategies for selecting and administering these methods.
Data Visualization: This topic covers the use of charts, graphs, and other visual aids to present quantitative data in a clear and accessible way.
Meta-analysis: This topic covers the process of combining and analyzing results from multiple studies to produce more generalizable and reliable conclusions.
Research Design: This topic covers the general process of planning, conducting, and analyzing research studies, including the use of theory, research questions, and data analysis.
Statistical Software: This topic covers the use of statistical software programs such as SPSS, SAS, and R for data analysis and visualization.
Surveys: Surveys involve collecting data from a sample of individuals through a structured questionnaire. The responses are then statistically analyzed to determine patterns and trends.
Experiments: Experiments involve manipulating one or more independent variables to determine the effect on a dependent variable. Experiments can be done in a laboratory or natural setting.
Content analysis: Content analysis involves analyzing media content (e.g., news articles, TV shows, ads) to identify patterns and themes.
Network analysis: Network analysis involves analyzing social networks and the connections between individuals to determine the structure of the network and the flow of information.
Secondary data analysis: Secondary data analysis involves analyzing existing quantitative data sets (e.g., census data, surveys) to answer research questions.
Meta-analysis: Meta-analysis involves combining the results of multiple studies on a topic to determine the overall effect of a variable.
Longitudinal studies: Longitudinal studies involve collecting data from the same individuals at multiple time points to see how variables change over time.
Observational research: Observational research involves observing and recording behavior in a natural setting.
Correlational research: Correlational research involves examining the relationship between two or more variables to determine whether they are positively or negatively related.
Quasi-experimental research: Quasi-experimental research involves manipulating an independent variable, but without random assignment to experimental and control groups.
Factor analysis: Factor analysis involves analyzing data to identify underlying factors and determine which variables are related to each factor.
- "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."