See list in instructions | Psychology homework help

doing a critique (detailed explanation and evaluation) of a pre-selected research study.

From the list below choose one of the studies to use for that purpose. (Be certain to make a hard copy of your study choice).
chosen study and its type (quantitative, qualitative, or mixed model). Explain why you believe that study fits either the quantitative, qualitative or mixed model modality. Refer to your given definitions to help you with your explanation.

1. DeSantis, A.D., Webb, E.M., & Noar, S.M. (2008). Illicit use of prescription ADHD medications on a college campus: a multimethodological approach. Journal of American College Health, 57, 3, 315 – 323.

2. Findling, R.L., Aman, M.G., Eerdekens, M., Derivan, A., & Lyons, B. (2004). Long-term, open-label study of risperidone in children with severe disruptive behaviors and below-average IQ. The American Journal of Psychiatry, 161, 4, 677 – 684.

3. Jee, S.H., Conn, K.M., Nilsen, W.J., Szilagyi, M.A., & et al. (2008). Learning difficulties among children separated from a parent. Ambulatory Pediatrics, 8, 3, 163 – 168.

4. Kazura, K. (2000). Fathers’ qualitative and quantitative involvement: an investigation of attachment, play, and social interactions. Journal of Men’s Studies, 9, 1, 41.

5. Messerlian, C., & Derevensky, J. (2007). Evaluating the role of social marketing campaigns to prevent youth gambling problems: a qualitative study. Canadian Journal of Public Health, 98, 2, 101 – 104.

6. Varjas, K., Graybill, E., Mahan, W., Meyers, J., & et. al. (2007). Urban service providers’ perspectives on school responses to gay, lesbian, and questioning students: an exploratory study. Professional School Counseling, 11, 2, 113 – 119.

next part
At the heart of all research is the question: what data is appropriate? For this discussion question you are to identify the nature (type) of data used in qualitative research, and what the researcher must do to increase the trustworthiness of that data. Include in your detailed discussion topics such as narrative, confirmability, coding, and researcher bias.