Another example of a cross-sectional study would be a medical study examining the prevalence of cancer amongst a defined population. The researcher can evaluate people of different ages, ethnicities, geographical locations, and social backgrounds.
What is cross-sectional design in research methods?
A cross-sectional study is a type of observational study, or descriptive research, that involves analyzing information about a population at a specific point in time. Typically, these studies are used to measure the prevalence of health outcomes and describe characteristics of a population.
What is cross sequential design in psychology?
A cross-sequential design is a research method that combines both a longitudinal design and a cross-sectional design. It aims to correct for some of the problems inherent in the cross-sectional and longitudinal designs.
What is cross-sectional descriptive study?
Descriptive cross-sectional studies simply characterize the prevalence of a health outcome in a specified population. Prevalence can be assessed at either one point in time (point prevalence) or over a defined period of time ( period prevalence).
What is an example of a cross-sectional study? – Related Questions
Why is a cross-sectional study good?
The main strength of cross-sectional studies is that they are relatively quick and inexpensive to conduct. They are the best way to determine the prevalence and can study the associations of multiple exposures and outcomes.
What is the advantage of a cross-sectional study?
Advantages of Cross-Sectional Study
Not costly to perform and does not require a lot of time. Captures a specific point in time. Contains multiple variables at the time of the data snapshot. The data can be used for various types of research.
What is the difference between descriptive and cross-sectional study?
Cross-sectional studies are observational in nature and are known as descriptive research, not causal or relational, meaning that you can’t use them to determine the cause of something, such as a disease. Researchers record the information that is present in a population, but they do not manipulate variables.
Is a cross-sectional descriptive study qualitative?
Although the majority of cross-sectional studies is quantitative, cross-sectional designs can be also be qualitative or mixed-method in their design.
What is the difference between a descriptive and analytical cross-sectional study?
Cross-sectional studies may be either descriptive or analytical. Descriptive studies mostly aim to provide estimates of prevalence of disease, traits such as smoking behavior, people′s attitudes, knowledge or health behavior, whereas analytical studies aim to assess associations between different parameters.
What are the three types of descriptive studies?
Descriptive studies can be of several types, namely, case reports, case series, cross-sectional studies, and ecological studies. In the first three of these, data are collected on individuals, whereas the last one uses aggregated data for groups.
What are the 4 descriptive research methods in psychology?
Descriptive, or qualitative, methods include the case study, naturalistic observation, surveys, archival research, longitudinal research, and cross-sectional research.
What are the 4 types of study design?
There are four main types of Quantitative research: Descriptive, Correlational, Causal-Comparative/Quasi-Experimental, and Experimental Research. attempts to establish cause- effect relationships among the variables. These types of design are very similar to true experiments, but with some key differences.
What are the 4 descriptive research methods?
Some of the more common methods include surveys, interviews, observations, case studies, and portfolios. The data collected through these methods can be either quantitative or qualitative.
What are the 7 types of descriptive research?
There are seven types of descriptive research based on when you conduct them and what type of data research you conduct.
What are the types of descriptive research?
- Cross-sectional:
- Longitudinal:
- Normative:
- Relational/Correlational:
- Comparative:
- Classification:
- Archival:
What is the best method for descriptive research?
The observational method is considered the most effective method to carry out descriptive research. It involves the collection of both qualitative and quantitative data. Quantitative observations involve collecting data in a numerical form while qualitative observations do not monitor numerical measurements.
What are the 4 data collection methods in research?
Data may be grouped into four main types based on methods for collection: observational, experimental, simulation, and derived. The type of research data you collect may affect the way you manage that data.
What are the 3 most commonly used data collection in research?
Here are the top 5 data collection methods and examples that we’ve summarized for you:
- Surveys and Questionnaires.
- Interviews.
- Observations.
- Records and Documents.
- Focus Groups.
What are the six main method of data collection?
The most commonly used methods are: published literature sources, surveys (email and mail), interviews (telephone, face-to-face or focus group), observations, documents and records, and experiments.
What are the 5 methods of primary data collection?
Methods of Collecting Primary Data
- Direct personal investigation.
- Indirect oral investigation.
- Information through correspondents.
- Telephonic interview.
- Mailed questionnaire.
- The questionnaire filled by enumerators.
What are the 3 stages of data collection?
Data collection takes place in three steps: In the first step, you create a data collection plan: When do you need what data?
In the third step, you actually collect the data.
- Step 1: Create a data-collection plan.
- Step 2: Identify data sources.
- Step 3: Collect data.
