Discuss the Pros and Cons of Cross-sectional and Longitudinal approaches to the study of development The study of development is that of changes in physical‚ cognitive‚ social and emotional capabilities over time. The study is usually carried out on infants and children as their changes are faster and more dramatic than adults. These time based studies reveal that the data collected shows the abilities of subjects and the ages they appear. The data is collected through interviews‚ observations
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According to Berk (2014)‚ longitudinal‚ cross-sectional‚ and sequential designs are forms of observational studies that research a particular variable and how it affects the participants over their lifespan. A longitudinal design measures a single individual or small group repeatedly over an extended period to provide information about changes. Regarding timeframe‚ longitudinal designs can relatively be short or long. On the contrary‚ a cross-sectional design can analyze people of diverse ages at
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Cross-Sectional‚ Longitudinal‚ and Twin Studies A cross-sectional study is a type of observational research that studies groups of subjects or populations at one particular point in time. The study‚ with participants who can be grouped by age or background‚ is beneficial because it not only can examine one variable‚ but it can examine additional variables simultaneously with only a slight‚ if any‚ cost increase. Another benefit of the cross-sectional research method is that it can be performed more
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have the abilities to 1) recognize patterns‚ 2) respond to their mother’s voices‚ 3) learn. We saw three videos illustrating the research behind these claims. What was the evidence that babies can learn events? 3. What is a cross-sectional study? What is a longitudinal study? What is a cohort? 4. What emotions are found in babies at birth? What emotions appear between 2-4 months? 5. What is the effect of deprivation on development? Define teratogen. Identify some common teratogens. Identify
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Cross-sectional research is an observation of all population or a representative and it is at a certain time.when someone is using cross-sectional study they tend to have data on a whole population instead of one specific topic. a longitudal study is when it is repeated observation of the same items over a long period of time. longitudal studies mesure things around life span events and important things that have happened. when you do longitudal studies it makes things are more accurate because you
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a. Question and Answer | | | b. Conclusion | | | c. Suggestion and improvements | | 6 | Appendix / References | | | a. Original Documentation | | | b. Reference | | Objectives 1. To carry out longitudinal section (Profile) and cross section. 2. To perform the contour field work using grid method. 3. To learn about the equipment of leveling clearly 4. To document the data and produce the report. Theory & Principles The purpose of levelling
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A Cross Sectional Study Between Battered Women Who Endure and Relinquish Violence Josiah Marie B. Carreon AB Psychology ABSTRACT INTRODUCTION In 1970 support groups for women who were abused and battered began to collide with other women’s group to restrain the continuous abuse of men to women specifically by their spouse. The support groups was created primarily to address the ongoing problem‚ and the collaboration of support groups lead to programs such as counselling and service
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Development Cross-sectional and Longitudinal Studies: A Comparison Much of adolescent development directly correlates to the social interactions between adolescents and the people with whom they spend the most time. It is therefore logical to explore the relationship between adolescents and their families to better predict their behavioural development. When conducting developmental research there are two most established ways of studying the subject population. The first is a cross-sectional study
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Study Design The purpose of this study is to examine which of the known predictors or risk factors of metabolic syndrome are relevant in low-income New Haven neighborhoods‚ those that experience the largest health disparities. This will be a cross-sectional study design that use secondary data from the Community Alliance for Research and Engagement (CARE) Neighborhood Survey. The dependent variable will be metabolic syndrome. The independent variables will be environmental risk factors (neighborhood
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Weakness of the study design The biggest flaw in any cross-sectional study design is the inability to establish a causal relationship. This made any causation deduced from the results a mere inference. Positive correlation derived from the study is not sufficient and convincing enough to be acted upon. The study is also vulnerable to recall bias or dishonesty. The accuracy of the data collected heavily depend upon the student’s ability to accurately recall events that took pace the day before and
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