Strengths and Weaknesses of Quantitative Research PDF

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Activity 1. EXPLORE YOUR IDEA. STRENGTHS AND WEAKNESSES OF QUANTITATIVE RESEARCH The first strength says that In quantitative research we can generalize the findings from a sample to an entire population (sample is representative for the population) by well-defined statistical procedures. As quantitative deals in numbers, logic, and an objective stance, and data are in the form of numbers and statistics, charts, figures etc. it can be used to generalize concepts more widely, predict future results, or investigate causal relationships.

STRENGTHS

Second says that quantitative is easy to analyze because Tables, charts, graphs, and other numerical representations are used to portray quantitative data. This makes it simple to comprehend the facts gathered as well as to demonstrate the market research's validity Third says that data can be very consistent, precise, reliable. Very consistent because the degree to which the outcomes of observations/measures of a study are consistent. Precise because quantitative research necessitates a large sample of the population in order to get valid results, the larger the sample size, the more statistically accurate the outputs. Reliable because the use of statistics to collect and then analyze this form of data lends it credence or credibility, quantitative data is considered as more credible and objective overall.

WEAKNESSESES

The first weakness says that accessing available data is difficult or impossible. Secondary data allows you to build on current research, which leads to better outcomes and saves time and money. It's difficult because you might not have enough information about that variable to conduct a thorough analysis, or it might not answer the researcher's specific research questions or contain specific information that the researcher wants, or it might not be available because the content you're looking for hasn't been collected or gathered yet, especially if your topic is complex. Second says that it is difficult to understand context of a phenomenon. Because the data produced in quantitative research is usually numerical and is analyzed using mathematical and statistical approaches, understanding context is extremely challenging. It necessitates considerable statistical analysis, which might be difficult for non-statistical researchers and readers. this option cannot measure the ways in which society changes or how people interpret their actions or that of others. Unlike qualitative research, it gives you the details and the depth to understand the implications. Third says data may not be robust enough to explain complex issues. Quantitative research emphasizes numerical and stable data as well as comprehensive, convergent reasoning over divergent reasoning. It doesn’t aim to understand the

problems being investigated in greater detail, and is often quite objective, so the data in quantitative is not strong to explain certain issue because the analysis is concerned with how many or how much a certain phenomenon occurs.

BIG IDEA Descriptive research

WHAT I KNOW I know that descriptive is a kind of quantitative research design, its goal is to observe and describe characteristics of a group.

Correlational research

I know that correlational research is a non-experimental research method that entails studying two variables in order to establish a statistically significant link between them

Quasi-experimental research

I know that this is a experimental method and Quasi-experimental

Experimental research

WHAT I UNDERSTAND After reading the module, I learned that it is a non-experimental design that concentrates on "what " questions to describe and explain the characteristics of the variables under study Upon reading the topic, I understand that correlational research also involves collection of data to determine variables that have a connection to the extent that a change in one causes a change in the other. After reading its meaning, I finally understood that it still differs from

research is similar to experimental research in that there is manipulation of an independent variable

experimental research because in quasi- experimental there is no control group, no random selection, no random assignment, and/or no active manipulation. It is a unique research methodology because it is characterized by what is lacks.

I know that Experimental research employs the most rigorous study design and a scientific method for doing research.

I learned that experimental research is a scientific method of doing research in which one or more independent variables are changed and applied to one or more dependent variables in order to determine their effect on the latter....