Advanced Search
Display options
Filter resources
Text Availability
Article type
Publication date
Species
Language
Sex
Age
Showing 1 to 3 of 3 entries
Sorted by: Best Match Show Resources per page
Validity Concerns with Multiplying Ordinal Items Defined by Binned Counts: An Application to a Quantity-Frequency Measure of Alcohol Use.

Methodology : European journal of research methods for the behavioral & social sciences

McGinley JS, Curran PJ.
PMID: 25383075
Methodology (Gott). 2014;10(3):108-116. doi: 10.1027/1614-2241/a000081.

Social and behavioral scientists often measure constructs that are truly discrete counts by collapsing (or binning) the counts into a smaller number of ordinal responses. While prior quantitative research has identified a series of concerns with similar binning procedures,...

Cite
McGinley JS, Curran PJ. Validity Concerns with Multiplying Ordinal Items Defined by Binned Counts: An Application to a Quantity-Frequency Measure of Alcohol Use. Methodology (Gott). 2014;10(3):108-116doi: 10.1027/1614-2241/a000081.
McGinley, J. S., & Curran, P. J. (2014). Validity Concerns with Multiplying Ordinal Items Defined by Binned Counts: An Application to a Quantity-Frequency Measure of Alcohol Use. Methodology : European journal of research methods for the behavioral & social sciences, 10(3), 108-116. https://doi.org/10.1027/1614-2241/a000081
McGinley, James S, and Curran, Patrick J. "Validity Concerns with Multiplying Ordinal Items Defined by Binned Counts: An Application to a Quantity-Frequency Measure of Alcohol Use." Methodology : European journal of research methods for the behavioral & social sciences vol. 10,3 (2014): 108-116. doi: https://doi.org/10.1027/1614-2241/a000081
McGinley JS, Curran PJ. Validity Concerns with Multiplying Ordinal Items Defined by Binned Counts: An Application to a Quantity-Frequency Measure of Alcohol Use. Methodology (Gott). 2014;10(3):108-116. doi: 10.1027/1614-2241/a000081. PMID: 25383075; PMCID: PMC4217492.
Copy Download .nbib Format: NLM
Examining Cohort Effects in Developmental Trajectories of Substance Use.

International journal of behavioral development

Burns AR, Hussong AM, Solis JM, Curran PJ, McGinley JS, Bauer DJ, Chassin L, Zucker RA.
PMID: 29056800
Int J Behav Dev. 2017 Sep;41(5):621-631. doi: 10.1177/0165025416651734. Epub 2016 Jun 16.

The current study demonstrates the application of an analytic approach for incorporating multiple time trends in order to examine the impact of cohort effects on individual trajectories of eight drugs of abuse. Parallel analysis of two independent, longitudinal studies...

Cite
Burns AR, Hussong AM, Solis JM, et al. Examining Cohort Effects in Developmental Trajectories of Substance Use. Int J Behav Dev. 2016;41(5):621-631doi: 10.1177/0165025416651734.
Burns, A. R., Hussong, A. M., Solis, J. M., Curran, P. J., McGinley, J. S., Bauer, D. J., Chassin, L., & Zucker, R. A. (2017). Examining Cohort Effects in Developmental Trajectories of Substance Use. International journal of behavioral development, 41(5), 621-631. https://doi.org/10.1177/0165025416651734
Burns, Alison R, et al. "Examining Cohort Effects in Developmental Trajectories of Substance Use." International journal of behavioral development vol. 41,5 (2017): 621-631. doi: https://doi.org/10.1177/0165025416651734
Burns AR, Hussong AM, Solis JM, Curran PJ, McGinley JS, Bauer DJ, Chassin L, Zucker RA. Examining Cohort Effects in Developmental Trajectories of Substance Use. Int J Behav Dev. 2017 Sep;41(5):621-631. doi: 10.1177/0165025416651734. Epub 2016 Jun 16. PMID: 29056800; PMCID: PMC5646831.
Copy Download .nbib Format: NLM
A Moderated Nonlinear Factor Model for the Development of Commensurate Measures in Integrative Data Analysis.

Multivariate behavioral research

Curran PJ, McGinley JS, Bauer DJ, Hussong AM, Burns A, Chassin L, Sher K, Zucker R.
PMID: 25960575
Multivariate Behav Res. 2014 Jun;49(3):214-231. doi: 10.1080/00273171.2014.889594.

Integrative data analysis (IDA) is a methodological framework that allows for the fitting of models to data that have been pooled across two or more independent sources. IDA offers many potential advantages including increased statistical power, greater subject heterogeneity,...

Cite
Curran PJ, McGinley JS, Bauer DJ, et al. A Moderated Nonlinear Factor Model for the Development of Commensurate Measures in Integrative Data Analysis. Multivariate Behav Res. 2014;49(3):214-231doi: 10.1080/00273171.2014.889594.
Curran, P. J., McGinley, J. S., Bauer, D. J., Hussong, A. M., Burns, A., Chassin, L., Sher, K., & Zucker, R. (2014). A Moderated Nonlinear Factor Model for the Development of Commensurate Measures in Integrative Data Analysis. Multivariate behavioral research, 49(3), 214-231. https://doi.org/10.1080/00273171.2014.889594
Curran, Patrick J, et al. "A Moderated Nonlinear Factor Model for the Development of Commensurate Measures in Integrative Data Analysis." Multivariate behavioral research vol. 49,3 (2014): 214-231. doi: https://doi.org/10.1080/00273171.2014.889594
Curran PJ, McGinley JS, Bauer DJ, Hussong AM, Burns A, Chassin L, Sher K, Zucker R. A Moderated Nonlinear Factor Model for the Development of Commensurate Measures in Integrative Data Analysis. Multivariate Behav Res. 2014 Jun;49(3):214-231. doi: 10.1080/00273171.2014.889594. PMID: 25960575; PMCID: PMC4423418.
Copy Download .nbib Format: NLM
Showing 1 to 3 of 3 entries