Table of Contents
What does historical mean in quantitative research?
Simply put, quantitative history is history that uses numerical data—or other countable evidence—as a primary source for analysis and interpretation. There are many different types and sizes of quantitative history. Some quantitative studies concentrate on small populations, while others cover enormous ones. Identification of causal relationships is the main goal of quantitative research, which involves the analysis of numerical data. In qualitative research, social interactions between participants are observed and analyzed in their natural environments or in-depth personal accounts of the participants’ social experiences are analyzed.The first step in quantitative research utilizing statistical techniques is data collection, which is based on the hypothesis or theory. The majority of the time, a large sample of data is gathered, which first needs to be verified, validated, and recorded before being used for analysis.A representative sample, clearly defined research questions, the ability to manipulate and control variables, and the use of structured and standardized data collection tools are all traits of quantitative research. Additionally, they are trustworthy and valid, and generalization is allowed.Population studies and samples to ascertain the prevalence of a particular condition are frequent examples of quantitative data in the field of mental health. Trends in mental health are examined statistically.
What does quantitative psychology research entail?
Theory. The general deductive approach to the relationship between theory and research in this tradition is indicated by the fact that quantitative research always begins with theory.In general, quantitative researchers are concerned with four main issues: measurement, causation, generalizability, and replication.A quantitative theory is a tool created by the researcher to be tested deductively using a specific statistical technique. Theories are built logically from what is already known about the subject and take into account whether the concepts or variables in the theory can be measured.A method of historical investigation known as quantitative history makes use of numerical, statistical, and computer resources.By producing numerical data or data that can be converted into useful statistics, quantitative research is used to quantify the problem. In order to generalize the findings from a larger sample size, it is used to quantify attitudes, opinions, behaviors, and other defined variables.
What is the history of qualitative research in psychology?
Early in the 20th century, as psychoanalysis’s influence began to permeate the business world, qualitative research began to take shape. Paul Felix Lazersfield, the founder of qualitative research, demonstrated in 1945 how psychology could offer a framework for understanding human behavior. Paul Felix Lazersfield, regarded as the founder of qualitative research, demonstrated how psychology could offer a framework for understanding human behavior by the year 1945. He popularized group discussions and unstructured interviews and emphasized the significance of providing meaningful why?
Why does psychology frequently use quantitative research?
The goal of quantitative research is to gain a deeper knowledge and comprehension of society. To study situations or events that have an impact on people, researchers use quantitative methods. Quantitative research generates objective data that can be explained in detail using statistics and numbers. The techniques and methods used to measure human behavior and other characteristics are studied and developed by quantitative psychologists. Their work entails the design of research studies, the statistical and mathematical modeling of psychological processes, and the analysis of psychological data.As a result, and to reiterate, quantitative research is crucial in the field of psychology because it enables researchers to gather data and eventually develop theories that help them comprehend the human condition, potentially lessen suffering, and ultimately enable the human race to flourish.The main benefit of quantitative data for psychologists is that it is objective; since numbers have a universal meaning and do not require personal interpretation, quantitative data is very dependable and highly scientific. The ability to compare quantitative data favorably is another benefit.The goal of Tutorials in Quantitative Methods for Psychology is to give readers a clear and convenient way to access the most recent techniques. The so-called hard sciences are distinguished by the application of accepted quantitative methods, which is possibly their most reliable characteristic.