Questions and Topics We Can Help You To Answer:
Paper Instructions:

Question: Cross-Sectional Versus Longitudinal
Provide an example of a research question related to your course project topic that would better be examined using longitudinal rather than cross-sectional data. Explain and justify your example.

My course project topic: (I attached a copy of my course project project) 
Topic: My research topic is: “A study of the Relationship between Adolescent Criminal Behavior and selected background variables committed by males in the 15 through 17 age range in the wake county juvenile detention center”
( you would need to create a research question related to my course project topic that would better be examined using longitudinal rather than cross-sectional data. Explain and justify your example.) 


This article uses Cross-Sectional: 
(I attached a copy of the article)
****Article 1: Delinquency Among African American Youth : Parental Attachment, Socioeconomic Status, and Peer Relationships by: Steven B. Carswell
(APA) Carswell, S. B. (2007). Delinquency among African American youth: parental attachment, socioeconomic status, and peer relationships. Retrieved from https://ebookcentral.proquest.com

Example: (Cross-Sectional meaning:  using both male and female subjects,, or using demarcate and republican subjects)

Let me know if you need any additional information for this assignment 

unit reading:Descriptive and Correlational Studies
INTRODUCTION
Unit 2 focused on the importance of operationally defining the variables using valid and reliable instruments. Once the researcher selects the instruments, a research design is chosen—the blueprint or strategy for data collection. The first research design we discuss is the non-experimental design: descriptive studies.
Descriptive studies include correlational, cross-sectional, and longitudinal designs. In non-experimental studies, the researchers do not give treatments. Rather, they observe behaviors, interactions, situations, events, attitudes, and beliefs. The U.S. census and the Gallup Poll surveys are examples of descriptive studies. The goal of the U.S. census is to describe the characteristics of the U.S. population and the populations of states and counties. Gallup Polls frequently ask questions about the attitudes of individuals on certain topics.
Another type of descriptive study is the correlational study. Correlational studies describe the relationship between two variables. The researcher collects data for both variables, correlates the pairs of scores, and yields a correlation coefficient. There are negative, positive, and no correlations. For example, researchers might take data from the U.S. census and examine the relationship between age and income.