Longitudinal Design Vs. Cross-Sectional Design

Longitudinal design is one of many studies that researches utilize to study human’s behaviors. In these types of studies the individuals are left alone without any type of contact with the researchers. The reason for

In the study, the between-groups design and the cross-sectional design were used for research. There were 243 participants between the ages of 18 and 39, and the majority were females and Caucasians. The average age was about 21 years old.

* The limited sample size is a possible problem. Also, the use of longitudinal study tends to follow a subject for a very long period of time. Possibly decades. This type of study is generally used in psychology and sociology studies. Perhaps, a cross sectional study would be more appropriate as it makes

Researchers or research teams who elect a quantitative study are going to determine the relationship between an independent variable and a dependent variable within a population (Babbie, E.R., 2010). There are two types of quantitative study designs: descriptive and experimental. A descriptive design typically measures the subject once and establishes the association between the independent and dependent variables (Mujis, D, 2010). An experimental design measures the subject before and after a treatment and establishes causality between the variables (Brians, C.L. et al, 2011).

For the purpose of this study, a retrospective cohort design will be implemented in the form of longitudinal study. Retrospective cohort studies are a type of observational study. It utilises a retrospective cohort methodological approach. Retrospective cohort studies use data that have already been collected for studies with similar

In order to prove the theory that Masturbation causes gray hairs; A development research study needs to take place. This begins by determining which of the two basic developmental research designs that will be utilized; either a cross-sectional design or a Longitudinal Design ? Understanding, that longitudinal design allows for the study of the same participants, over multiple time points ; and considering that gray hairs don't show up over-night ; the best design would then be a Longitudinal Design . In addition, the design allows data to be measured over time, which in this case would be the number of gray hairs if any, that appear on our participants over the course of several years. Since we are measuring data

The criteria I used to determine the study design is looking at what kind of study the research is. In descriptive and correlational studies, there are no treatments involved (Burns & Grove, 2011). Since this study has treatments involve and the researchers have control over the treatments, it is experimental. Experimental study also uses a smaller sample size like the sample size in the article. It also involves 3 characteristics namely: (1)

This write appreciates facts and data mostly, thus would choose a quantitative method of research. They are concise, the sampling size can be larger and the limitations to human subjectivity usually are less. It is believed that the accuracy of the study is greater and more

Barratt, H., Kirwan, M. (2009) Design, Application, Strengths & Weaknesses of Cross-Sectional Studies [Online]. Available from: http://www.healthknowledge.org.uk

To complete this study the author used a quasiexperimental design, consisting of 1 intervention group and 1 historical control group. The setting was

Very good example of social behaviors and environmental change Jennefer. The one that I most thing about in using longitudinal study is the youth. The primary point of longitudinal studies in this study determines change after some time. Youth is about change and one child is not enough data to determine rather the child will improve in socialization, repeated observation will determine changes. Therefore, it is important to utilize inquire about plans which can reveal singular changes inside and past single life expectancies. On a fundamental level, cross-sectional outlines can give in any event some confirmation on changes when they request review data. However, a large portion of them is restricted to represent the

These case studies examine each case individually to determine if the case used a randomized or non-randomized experiment followed by an explanation for the choice. In addition, each case will be studied to ascertain what design was used from the following list: within subject designs, factorial designs, between subject designs, time series design, interrupted time series design, and single case experimental research design. Next, each case will be reviewed to establish what threats to internal validity, if any, are present and explain the reasoning. Equally important in the example, was there a third variable problem and if so define the third variable problem in the specific case and finally did the case use longitudinal or cross-sectional

Statistics, like physic, math, or any other discipline, is a large and diverse field. The method of statistical analysis is to analyze the fact in a research study and to bring forth a concrete result with many contents. The content analysis of statistical research may provide many useful results where it informs the readers of a current problem or a situation that may exist within a population, an organization, or in a community. There are many types of data that can be identified in the topics that might be highlighted in classroom discussions to empower students to become more literate readers of nursing journals. Before the statistical analysis research can progress, the type of research study must be known. Study designs that are commonly used in clinical research include case-control, cohort, randomized controlled design, crossover, and factorial designs. Indeed, a statistical research is done seldom randomly controlled trial has many features but most commonly incorporates what is called a

The drawback to cross-sectional studies is the inability to express cause and effect relationships between the variables being tested. Or to make a convincing observation in regards to the course of the connection between variables.It is because of the concept of the snapshot at the single moment, that prevents the consideration of before and after that specific moment is analyzed (What researchers mean by cross-sectional vs. longitudinal studies.,2009). As it relates to longitudinal studies, they are observational as well. However, it is over an extended period. Like cross-sectional studies, the researchers are not entering with the participants or respondents. This method studies the same subjects several times over a period of years. This technique gives the scholar the ability to measure the change of data to be collected over time. Longitudinal studies come in three prominent types panel, cohort, and retrospective. The panel study is a representative sample of participants, and the retroactive study utilizes historical data that is sometimes compared to improved

A study design is the procedure that guides a researcher on how to collect, analyze and interpret observations. It is a logical model that guides the investigator while he navigates through the various stages of the research. Study types can be classified severally depending on the research strategy employed. A study type can be non-interventional that is ‘observational’ where a researcher just observes and analyses researchable objects or situations without intervening. Non-interventional study designs can be exploratory, descriptive or comparative. A study can also be