Qualitative data
can be measured quantitatively.
Which of the following is a disadvantage to the descriptive research method of surveys?
Disadvantages include
the potential for unreliable data due to deception, memory lapses, and poor questioning
, and it is not a tool that enables researchers to draw cause-and-effect conclusions. Describe the difference between longitudinal and cross-sectional research.
Which of the following is an advantage of using longitudinal studies?
The benefit of a longitudinal study is that
researchers are able to detect developments or changes in the characteristics of the target population at both the group and the individual level
. The key here is that longitudinal studies extend beyond a single moment in time.
What is one of the primary benefits of using observation as a research method?
One of the primary benefits of participant observation is that
the researchers are in a much better position to understand the viewpoint and experiences of the people they are studying when they are a part of the social group
.
When data are collected in Nonnumerical form it is referred to as?
Qualitative approaches
collect data in non-numerical form, whereas quantitative approaches collect data in numeric form. … Any time we wish to gain a deep understanding of a single individual or group, a case study can help us to do so, through the use of multiple data sources.
What are the major purposes for which descriptive research is conducted?
The purpose of descriptive research is, of course,
to describe, as well as explain, or validate some sort of hypothesis or objective when it comes to a specific group of people
.
What is the aim of descriptive study?
Descriptive research aims
to accurately and systematically describe a population, situation or phenomenon
. It can answer what, where, when and how questions, but not why questions. A descriptive research design can use a wide variety of research methods to investigate one or more variables.
What is the main drawback of longitudinal studies quizlet?
They require enormous amounts of time. Another huge drawback to any longitudinal study is
the great amount of time it needs to collect all the data that is needed
. Usually, it takes a long period of time to gather results before you can start making patterns.
What are the three types of longitudinal studies?
There are a range of different types of longitudinal studies:
cohort studies, panel studies, record linkage studies
. These studies may be either prospective or retrospective in nature.
What is the greatest drawback of the longitudinal method?
Longitudinal studies
require enormous amounts of time and are often quite expensive
. Because of this, these studies often have only a small group of subjects, which makes it difficult to apply the results to a larger population.
What are the 4 types of observation?
- Complete Observer.
- Observer as Participant.
- Participant as Observer.
- Complete Participant.
What are examples of observations?
- A scientist looking at a chemical reaction in an experiment.
- A doctor watching a patient after administering an injection.
- An astronomer looking at the night sky and recording data regarding the movement and brightness of the objects he sees.
What is observation in data collection?
Observation is
way of gathering data by watching behavior, events, or noting physical characteristics in their natural setting
. … Through observation you can monitor or watch a process or situation that your are evaluating as it occurs. • When you are gathering data on individual behaviors or interactions between people.
What type of data makes Qlr significant?
Qualitative data
is important in determining the particular frequency of traits or characteristics. It allows the statistician or the researchers to form parameters through which larger data sets can be observed. Qualitative data provides the means by which observers can quantify the world around them.
What are 3 examples of qualitative data?
The
hair colors of players on a football team
, the color of cars in a parking lot, the letter grades of students in a classroom, the types of coins in a jar, and the shape of candies in a variety pack are all examples of qualitative data so long as a particular number is not assigned to any of these descriptions.
What are two most commonly used quantitative data analysis methods?
The two most commonly used quantitative data analysis methods are
descriptive statistics and inferential statistics
.
