All Academic, Inc. Research Logo

Info/CitationFAQResearchAll Academic Inc.
Document

Violent media content and aggressiveness in adolescents: A negative feedback-loop model
Unformatted Document Text:  A negative feedback-loop model page 11 withheld for blind review). Coefficient alpha for the scale was .75. Frequency of internet use was a single item with responses given on a five point scale (1 = not at all, 5 = very often). The final two control variables were age in years at Time 1, and gender. Overview of Analyses These data are analyzed using structural equation modeling (SEM), as SEM is particularly well-suited to tests of theoretical models, and make possible significance tests of models that hypothesize the incremental role of various structural paths (Bentler, 1990). In addition, it is obviously preferable to test a complex model such as this correcting for attenuation due to error (i.e., using latent variables), or else the accumulation of measurement error across variables and waves is likely to obscure any but the most obvious of relationships. Due to missing cases across the three waves (resulting to some extent from mortality but to a greater extent to missing values for various items in individual data sets), maximum likelihood using the EM algorithm was used. This method of dealing with missing data has been supported as preferable to traditional methods such as listwise deletion, mean substitution, and single imputation (Schafer & Graham, 2002). This method is also now included as a feature in structural equation software programs (Jöreskog & Sörbom, 2001; Neale, Boker, Xie, & Maes, 1999, Arbuckle & Wothke, 1999) and is available for the beta version of EQS 6.0 (Bentler, in press). To control for the effects of additional variables on the relationship between experience of violent media on aggression, gender, age, sensation seeking, and frequency of internet use were entered as covariates in all structural models. The structural model was estimated using a multi-step technique, using EQS 5.7. First, the measurement

Authors: Slater, Michael., Swaim, Randall. and Anderson, Lori.
first   previous   Page 11 of 27   next   last



background image
A negative feedback-loop model page 11
withheld for blind review). Coefficient alpha for the scale was .75. Frequency of internet
use was a single item with responses given on a five point scale (1 = not at all, 5 = very
often). The final two control variables were age in years at Time 1, and gender.
Overview of Analyses
These data are analyzed using structural equation modeling (SEM), as SEM is
particularly well-suited to tests of theoretical models, and make possible significance
tests of models that hypothesize the incremental role of various structural paths (Bentler,
1990). In addition, it is obviously preferable to test a complex model such as this
correcting for attenuation due to error (i.e., using latent variables), or else the
accumulation of measurement error across variables and waves is likely to obscure any
but the most obvious of relationships. Due to missing cases across the three waves
(resulting to some extent from mortality but to a greater extent to missing values for
various items in individual data sets), maximum likelihood using the EM algorithm was
used. This method of dealing with missing data has been supported as preferable to
traditional methods such as listwise deletion, mean substitution, and single imputation
(Schafer & Graham, 2002). This method is also now included as a feature in structural
equation software programs (Jöreskog & Sörbom, 2001; Neale, Boker, Xie, & Maes,
1999, Arbuckle & Wothke, 1999) and is available for the beta version of EQS 6.0
(Bentler, in press).
To control for the effects of additional variables on the relationship between
experience of violent media on aggression, gender, age, sensation seeking, and frequency
of internet use were entered as covariates in all structural models. The structural model
was estimated using a multi-step technique, using EQS 5.7. First, the measurement


Convention
Need a solution for abstract management? All Academic can help! Contact us today to find out how our system can help your annual meeting.
Submission - Custom fields, multiple submission types, tracks, audio visual, multiple upload formats, automatic conversion to pdf.
Review - Peer Review, Bulk reviewer assignment, bulk emails, ranking, z-score statistics, and multiple worksheets!
Reports - Many standard and custom reports generated while you wait. Print programs with participant indexes, event grids, and more!
Scheduling - Flexible and convenient grid scheduling within rooms and buildings. Conflict checking and advanced filtering.
Communication - Bulk email tools to help your administrators send reminders and responses. Use form letters, a message center, and much more!
Management - Search tools, duplicate people management, editing tools, submission transfers, many tools to manage a variety of conference management headaches!
Click here for more information.

first   previous   Page 11 of 27   next   last

©2012 All Academic, Inc.