Matching Items (10)
Filtering by
- Genre: Academic theses
Description
ABSTRACT The phenomenon of cyberbullying has captured the attention of educators and researchers alike as it has been associated with multiple aversive outcomes including suicide. Young people today have easy access to computer mediated communication (CMC) and frequently use it to harass one another -- a practice that many researchers have equated to cyberbullying. However, there is great disagreement among researchers whether intentional harmful actions carried out by way of CMC constitute cyberbullying, and some authors have argued that "cyber-aggression" is a more accurate term to describe this phenomenon. Disagreement in terms of cyberbullying's definition and methodological inconsistencies including choice of questionnaire items has resulted in highly variable results across cyberbullying studies. Researchers are in agreement however, that cyber and traditional forms of aggression are closely related phenomena, and have suggested that they may be extensions of one another. This research developed a comprehensive set of items to span cyber-aggression's content domain in order to 1) fully address all types of cyber-aggression, and 2) assess the interrelated nature of cyber and traditional aggression. These items were administered to 553 middle school students located in a central Illinois school district. Results from confirmatory factor analyses suggested that cyber-aggression is best conceptualized as integrated with traditional aggression, and that cyber and traditional aggression share two dimensions: direct-verbal and relational aggression. Additionally, results indicated that all forms of aggression are a function of general aggressive tendencies. This research identified two synthesized models combining cyber and traditional aggression into a shared framework that demonstrated excellent fit to the item data.
ContributorsLerner, David (Author) / Green, Samuel B (Thesis advisor) / Caterino, Linda (Committee member) / Atkinson, Robert (Committee member) / Nakagawa, Kathryn (Committee member) / Arizona State University (Publisher)
Created2013
Description
Although the issue of factorial invariance has received increasing attention in the literature, the focus is typically on differences in factor structure across groups that are directly observed, such as those denoted by sex or ethnicity. While establishing factorial invariance across observed groups is a requisite step in making meaningful cross-group comparisons, failure to attend to possible sources of latent class heterogeneity in the form of class-based differences in factor structure has the potential to compromise conclusions with respect to observed groups and may result in misguided attempts at instrument development and theory refinement. The present studies examined the sensitivity of two widely used confirmatory factor analytic model fit indices, the chi-square test of model fit and RMSEA, to latent class differences in factor structure. Two primary questions were addressed. The first of these concerned the impact of latent class differences in factor loadings with respect to model fit in a single sample reflecting a mixture of classes. The second question concerned the impact of latent class differences in configural structure on tests of factorial invariance across observed groups. The results suggest that both indices are highly insensitive to class-based differences in factor loadings. Across sample size conditions, models with medium (0.2) sized loading differences were rejected by the chi-square test of model fit at rates just slightly higher than the nominal .05 rate of rejection that would be expected under a true null hypothesis. While rates of rejection increased somewhat when the magnitude of loading difference increased, even the largest sample size with equal class representation and the most extreme violations of loading invariance only had rejection rates of approximately 60%. RMSEA was also insensitive to class-based differences in factor loadings, with mean values across conditions suggesting a degree of fit that would generally be regarded as exceptionally good in practice. In contrast, both indices were sensitive to class-based differences in configural structure in the context of a multiple group analysis in which each observed group was a mixture of classes. However, preliminary evidence suggests that this sensitivity may contingent on the form of the cross-group model misspecification.
ContributorsBlackwell, Kimberly Carol (Author) / Millsap, Roger E (Thesis advisor) / Aiken, Leona S. (Committee member) / Enders, Craig K. (Committee member) / Mackinnon, David P (Committee member) / Arizona State University (Publisher)
Created2011
Description
This paper is seeking to use exploratory factor analysis to construct a numeric representation of Hill Collin's matrix of domination. According to Hill Collins, the Current American matrix of domination, or the interlocking systems of oppression, includes race, gender, class, sexual orientation, religion, immigration status, disability, and age. The study uses exploratory factor analysis to construct a matrix of domination scale. The study launched an on-line survey (n=448) that was circulated through the social network Facebook to collect data. Factor analysis revealed that the constructed matrix of domination represents an accurate description of the current social hierarchy in the United States. Also, the constructed matrix of domination was an accurate predictor of the probability of experiencing domestic abuse according to the current available statistics.
ContributorsAzab, Marian (Author) / Quan, H. L. T. (Thesis advisor) / Keil, Thomas (Committee member) / Stancliff, Michael (Committee member) / Arizona State University (Publisher)
Created2011
Description
The Native American population is severely underrepresented in empirical test validity research despite being overrepresented in special education programs and at an increased risk for special educational evaluation. This study is the first to investigate the structural validity of the Wechsler Intelligence Scale for Children - Fourth Edition (WISC-IV) with a Native American sample. The structural validity of the WISC-IV was investigated using the core subtest scores of 176, six-to-sixteen-year-old Native American children referred for a psychoeducational evaluation. The exploratory factor analysis procedures reported in the WISC-IV technical manual were replicated with the current sample. Congruence coefficients were used to measure the similarity between the derived factor structure and the normative factor structure. The Schmid-Leiman orthogonalization procedure was used to study the role of the higher-order general ability factor. Results support the structural validity of the first-order and higher-order factors of the WISC-IV within this sample. The normative first-order factor structure was replicated in this sample, and the Schmid-Leiman procedure identified a higher-order general ability factor that accounted for the greatest amount of common variance (70%) and total variance (37%). The results support the structural validity of the WISC-IV within a referred Native American sample. The outcome also suggests that interpretation of the WISC-IV scores should focus on the global ability factor.
ContributorsNakano, Selena (Author) / Watkins, Marley (Thesis advisor) / Caterino, Linda (Committee member) / Cohen, Sylvia (Committee member) / Arizona State University (Publisher)
Created2011
Description
National assessment data indicate that the large majority of students in America perform below expected proficiency levels in the area of writing. Given the importance of writing skills, this is a significant problem. Curriculum-based measurement, when used for progress monitoring and intervention planning, has been shown to lead to improved academic achievement. However, researchers have not yet been able to establish the validity of curriculum-based measures of writing (CBM-W). This study examined the structural validity of CBM-W using exploratory factor analysis. The participants for this study were 253 third, 154 seventh, and 154 tenth grade students. Each participant completed a 3-minute writing sample in response to a narrative prompt. The writing samples were scored for fifteen different CBM-W indices. Separate analyses were conducted for each grade level to examine differences in the CBM-W construct across grade levels. Due to extreme multicollinearity, principal components analysis rather than common factor analysis was used to examine the structure of writing as measured by CBM-W indices. The overall structure of CBM-W indices was found to remain stable across grade levels. In all cases a three-component solution was supported, with the components being labeled production, accuracy, and sentence complexity. Limitations of the study and implications for progress monitoring with CBM-W are discussed, including the recommendation for a combination of variables that may provide more reliable and valid measurement of the writing construct.
ContributorsBrown, Alec Judd (Author) / Watkins, Marley (Thesis advisor) / Caterino, Linda (Thesis advisor) / Thompson, Marilyn (Committee member) / Arizona State University (Publisher)
Created2012
Description
ABSTRACT Cyberbullying has emerged as one of educators' and researchers' chief concerns as the use of computer mediated communication (CMC) has become ubiquitous among young people. Many undesirable outcomes have been identified as being linked to both traditional and cyberbullying, including depression,truancy, and suicide. America and Japan have both been identified as nations whose youth engage frequently in the use of CMC, and may be at a potentially higher risk to be involved in cyberbullying. Time spent using CMC has been linked to involvement in cyberbullying, and gender and age have, in turn, been linked to CMC use - these may play significant roles in determining who is at risk. In order to assess the effects of nationality, gender, and age on cyberbullying involvement among Japanese and American middle school students, a survey exploring these factors was developed and carried out with 590 American and Japanese middles school students (Japan: n = 433 and America: n = 157). MANOVA results indicated that that Americans tend to both use CMC more and be more involved in cyberbullying. In addition, Japanese involvement increased with age, while American involvement did not. There were minimal differences between Americans and Japanese with regards to traditional bullying.
ContributorsLerner, David (Author) / Nakagawa, Kathryn (Thesis advisor) / Caterino, Linda (Thesis advisor) / Ladd, Becky (Committee member) / Arizona State University (Publisher)
Created2011
Description
In the past, it has been assumed that measurement and predictive invariance are consistent so that if one form of invariance holds the other form should also hold. However, some studies have proven that both forms of invariance only hold under certain conditions such as factorial invariance and invariance in the common factor variances. The present research examined Type I errors and the statistical power of a method that detects violations to the factorial invariant model in the presence of group differences in regression intercepts, under different sample sizes and different number of predictors (one or two). Data were simulated under two models: in model A only differences in the factor means were allowed, while model B violated invariance. A factorial invariant model was fitted to the data. Type I errors were defined as the proportion of samples in which the hypothesis of invariance was incorrectly rejected, and statistical power was defined as the proportion of samples in which the hypothesis of factorial invariance was correctly rejected. In the case of one predictor, the results show that the chi-square statistic has low power to detect violations to the model. Unexpected and systematic results were obtained regarding the negative unique variance in the predictor. It is proposed that negative unique variance in the predictor can be used as indication of measurement bias instead of the chi-square fit statistic with sample sizes of 500 or more. The results of the two predictor case show larger power. In both cases Type I errors were as expected. The implications of the results and some suggestions for increasing the power of the method are provided.
ContributorsAguilar, Margarita Olivera (Author) / Millsap, Roger E. (Thesis advisor) / Aiken, Leona S. (Committee member) / Enders, Craig K. (Committee member) / Arizona State University (Publisher)
Created2010
Description
With widespread increases in the use of electronic communication technology, cyber-sexual harassment (CSH) has been on the rise. Broadly defined, CSH is unwelcome and repeated conduct of a sexual nature performed through electronic technology. The prevalence of CSH reported in previous studies varies significantly due in part to inconsistencies in how CSH is defined and measured. Whereas four existing scales measuring aspects of CSH have been published, each has several limitations. This research aims to develop and psychometrically validate the Multidimensional Cyber-Sexual Harassment Experiences and Attitudes Scale for Victimization (MCSHEA-V), which taps into five key components of CSH, including: (1) gathering sexual information online, (2) image and video-based sexual harassment, (3) offensive comments or posts, (4) coercive behaviors, and (5) CSH attitudes. In Study 1, a sample of psychology graduate students and faculty (N = 13) evaluated the content validity of the MCSHEA-V items, leading to key improvements in item relevance, clarity, and wording. In Study 2, a sample of adult participants (N = 298) completed the initial version of the scale through the online survey platform, Prolific.co. Confirmatory factor analyses indicated the proposed 5-factor structure was a good fit, but exploratory factor analyses indicated the items represented an alternative 4-factor structure. Specifically, these items captured dyadic CSH behaviors, CSH behaviors that affect one’s reputation, perceptions of the seriousness of CSH, and CSH victim-blaming behaviors. In Study 3, an additional sample of adult participants (N = 207) was surveyed via Prolific.co. Separate confirmatory factor analyses indicated the 4-factor model was the best fit. Overall, the MCSHEA-V will contribute to a clearer understanding of the defining features and prevalence of CSH victimization and facilitate future research through the introduction of a psychometrically-validated measurement tool.
ContributorsWheeler, Brittany (Author) / Hall, Deborah (Thesis advisor) / Mickelson, Kristin (Committee member) / Burleson, Mary (Committee member) / Arizona State University (Publisher)
Created2022
Description
The last two decades have seen growing awareness of and emphasis on the replication of empirical findings. While this is a large literature, very little of it has focused on or considered the interaction of replication and psychometrics. This is unfortunate given that sound measurement is crucial when considering the complex constructs studied in psychological research. If the psychometric properties of a scale fail to replicate, then inferences made using scores from that scale are questionable at best. In this dissertation, I begin to address replication issues in factor analysis – a widely used psychometric method in psychology. After noticing inconsistencies across results for studies that factor analyzed the same scale, I sought to gain a better understanding of what replication means in factor analysis as well as address issues that affect the replicability of factor analytic models. With this work, I take steps toward integrating factor analysis into the broader replication discussion. Ultimately, the goal of this dissertation was to highlight the importance of psychometric replication and bring attention to its role in fostering a more replicable scientific literature.
ContributorsManapat, Patrick D. (Author) / Edwards, Michael C. (Thesis advisor) / Anderson, Samantha F. (Thesis advisor) / Grimm, Kevin J. (Committee member) / Levy, Roy (Committee member) / Arizona State University (Publisher)
Created2022
Description
Social Emotional Learning (SEL) programs abound in schools worldwide, adopted in large part on limited and varied evidence that the social/SEL skills acquired in these programs contribute to academic achievement. However, large-scale studies with the most common SEL program in the United States (Second Step®) have yielded no evidence of academic benefits, despite revisions to the Second Step® measure (i.e., DESSA – SSE) to include “skills for learning” (i.e., executive functioning skills). The dearth of academic effects could reflect programmatic or measurement flaws. The purpose of this paper is to explore the latter and unpack the core “inputs” of Second Step® to determine whether the social-emotional or executive functioning components may be differently related to academic achievement. Such questions have important implications for evaluating program theory/logic and for the SEL field more broadly. The current study addresses this broader aim by assessing the longitudinal, bi-directional relationship among Executive Functioning, Prosocial Skills (as a proxy for SEL skills), and academic achievement in Kindergarten and Grade 1 students (N = 3,029) from rural and urban schools (N = 61). Widely utilized curriculum-based measures of reading and math tests were administered directly to students to assess academic achievement, while teachers reported on students’ Prosocial Skills using an established measure. A bi-factorial measure of executive functioning was derived from exploratory and confirmatory factor analyses from teacher-reported rating scale data. Results based on autoregressive cross-lagged panel model using accelerated longitudinal design lend some support for a longitudinal bidirectional relationship between the executive functioning components of shifting and emotional regulation (EF 2) and Prosocial Skills. Furthermore, while results support extant research that the executive functioning components of working memory, planning, and problem solving (EF 1) positively predict academic achievement, the executive functioning components of shifting and emotional regulation (EF 2) and Prosocial Skills are not meaningful nor consistent predictors of academic achievement. Implications and limitations are discussed.
ContributorsDesfosses, Danielle (Author) / Low, Sabina (Thesis advisor) / Thompson, Marilyn (Committee member) / Grimm, Kevin (Committee member) / Swanson, Jodi (Committee member) / Arizona State University (Publisher)
Created2021