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Description
This research addressed concerns regarding the measurement of cyberbullying and aimed to develop a reliable and valid measure of cyberbullying perpetration and victimization. Despite the growing body of literature on cyberbullying, several measurement concerns were identified and addressed in two pilot studies. These concerns included the most appropriate time frame for behavioral recall, use of the term "cyberbullying" in questionnaire instructions, whether to refer to power in instances of cyberbullying, and best practices for designing self-report measures to reflect how young adults understand and communicate about cyberbullying. Mixed methodology was employed in two pilot studies to address these concerns and to determine how to best design a measure which participants could respond to accurately and honestly. Pilot study one consisted of an experimental examination of time frame for recall and use of the term on the outcomes of honesty, accuracy, and social desirability. Pilot study two involved a qualitative examination of several measurement concerns through focus groups held with young adults. Results suggested that one academic year was the most appropriate time frame for behavioral recall, to avoid use of the term "cyberbullying" in questionnaire instructions, to include references to power, and other suggestions for the improving the method in the main study to bolster participants' attention. These findings informed the development of a final measure in the main study which aimed to be both practical in its ability to capture prevalence and precise in its ability to measure frequency. The main study involved examining the psychometric properties, reliability, and validity of the final measure. Results of the main study indicated that the final measure exhibited qualities of an index and was assessed as such. Further, structural equation modeling techniques and test-retest procedures indicated the measure had good reliability. And, good predictive validity and satisfactory convergent validity was established for the final measure. Results derived from the measure concerning prevalence, frequency, and chronicity are presented within the scope of findings in cyberbullying literature. Implications for practice and future directions for research with the measure developed here are discussed.
ContributorsSavage, Matthew (Author) / Roberto, Anthony J (Thesis advisor) / Palazzolo, Kellie E (Committee member) / Thompson, Marilyn S (Committee member) / Arizona State University (Publisher)
Created2012
Description
Accurate data analysis and interpretation of results may be influenced by many potential factors. The factors of interest in the current work are the chosen analysis model(s), the presence of missing data, and the type(s) of data collected. If analysis models are used which a) do not accurately capture the structure of relationships in the data such as clustered/hierarchical data, b) do not allow or control for missing values present in the data, or c) do not accurately compensate for different data types such as categorical data, then the assumptions associated with the model have not been met and the results of the analysis may be inaccurate. In the presence of clustered
ested data, hierarchical linear modeling or multilevel modeling (MLM; Raudenbush & Bryk, 2002) has the ability to predict outcomes for each level of analysis and across multiple levels (accounting for relationships between levels) providing a significant advantage over single-level analyses. When multilevel data contain missingness, multilevel multiple imputation (MLMI) techniques may be used to model both the missingness and the clustered nature of the data. With categorical multilevel data with missingness, categorical MLMI must be used. Two such routines for MLMI with continuous and categorical data were explored with missing at random (MAR) data: a formal Bayesian imputation and analysis routine in JAGS (R/JAGS) and a common MLM procedure of imputation via Bayesian estimation in BLImP with frequentist analysis of the multilevel model in Mplus (BLImP/Mplus). Manipulated variables included interclass correlations, number of clusters, and the rate of missingness. Results showed that with continuous data, R/JAGS returned more accurate parameter estimates than BLImP/Mplus for almost all parameters of interest across levels of the manipulated variables. Both R/JAGS and BLImP/Mplus encountered convergence issues and returned inaccurate parameter estimates when imputing and analyzing dichotomous data. Follow-up studies showed that JAGS and BLImP returned similar imputed datasets but the choice of analysis software for MLM impacted the recovery of accurate parameter estimates. Implications of these findings and recommendations for further research will be discussed.
ested data, hierarchical linear modeling or multilevel modeling (MLM; Raudenbush & Bryk, 2002) has the ability to predict outcomes for each level of analysis and across multiple levels (accounting for relationships between levels) providing a significant advantage over single-level analyses. When multilevel data contain missingness, multilevel multiple imputation (MLMI) techniques may be used to model both the missingness and the clustered nature of the data. With categorical multilevel data with missingness, categorical MLMI must be used. Two such routines for MLMI with continuous and categorical data were explored with missing at random (MAR) data: a formal Bayesian imputation and analysis routine in JAGS (R/JAGS) and a common MLM procedure of imputation via Bayesian estimation in BLImP with frequentist analysis of the multilevel model in Mplus (BLImP/Mplus). Manipulated variables included interclass correlations, number of clusters, and the rate of missingness. Results showed that with continuous data, R/JAGS returned more accurate parameter estimates than BLImP/Mplus for almost all parameters of interest across levels of the manipulated variables. Both R/JAGS and BLImP/Mplus encountered convergence issues and returned inaccurate parameter estimates when imputing and analyzing dichotomous data. Follow-up studies showed that JAGS and BLImP returned similar imputed datasets but the choice of analysis software for MLM impacted the recovery of accurate parameter estimates. Implications of these findings and recommendations for further research will be discussed.
ContributorsKunze, Katie L (Author) / Levy, Roy (Thesis advisor) / Enders, Craig K. (Committee member) / Thompson, Marilyn S (Committee member) / Arizona State University (Publisher)
Created2016
Description
Maintaining sexual desire as the marriage endures is a challenge, especially as it involves the interplay of seemingly opposing tensions of novelty, autonomy, and closeness. Difficulties can arise when autonomy, which requires spousal distancing, is perceived as a martial threat and therefore suppressed. This dissertation investigates whether prosocial marital distancing can nurture autonomy and promote sexual desire.
Torah-observant Jewish married couples practice family purity, a Jewish law forbidding sexual relations during menstruation and shortly thereafter. During this time couples often avoid sleeping in the same bed, physical touch, and behaviors that can instigate a sexual encounter. These distancing restrictions are lifted when the wife immerses in a ritual bath. The process repeats at the next menstruation.
This research examined the effects of family purity’s marital distancing through two studies. The first involved qualitative interviews of family purity wives (N = 10) guided by relational dialectics theory (Baxter & Montgomery, 1996). Study one findings suggest that family purity wives navigate the three tensions of integration, expression, and certainty. Study one also revealed a new tension, the dialect of restraint. The dialectic of restraint appears to enhance marital communication, heighten the appreciation for the mundane, and help sustain sexual desire.
Study two, the quantitative phase of the research, applied self-expansion theory (Aron & Aron, 1986) to investigate differences between family purity and non-family purity couples. A sample of 90 married Jewish dyads (N = 180) participated in a cross-sectional online questionnaire. Findings suggest that while non-practicing couples report greater self-expansion, family purity couples report greater sexual closeness. Family purity couples also report the same closeness and sexual closeness ideals, whereas non-practicing couples reported divergent ideals. Non-practicing family purity husbands had the greatest reported discrepancy between ideal and actual sexual closeness.
The combined findings suggest that sanctioned prosocial distancing as practiced by family purity couples enables the integration of cognitive growth and mitigates the threat of autonomy. Prosocial distancing within the family purity marriage appears to provide the wife space for autonomy that in turn provokes novelty and sexual desire. Findings are discussed in relation to theoretical contributions, study limitations, and future directions.
Torah-observant Jewish married couples practice family purity, a Jewish law forbidding sexual relations during menstruation and shortly thereafter. During this time couples often avoid sleeping in the same bed, physical touch, and behaviors that can instigate a sexual encounter. These distancing restrictions are lifted when the wife immerses in a ritual bath. The process repeats at the next menstruation.
This research examined the effects of family purity’s marital distancing through two studies. The first involved qualitative interviews of family purity wives (N = 10) guided by relational dialectics theory (Baxter & Montgomery, 1996). Study one findings suggest that family purity wives navigate the three tensions of integration, expression, and certainty. Study one also revealed a new tension, the dialect of restraint. The dialectic of restraint appears to enhance marital communication, heighten the appreciation for the mundane, and help sustain sexual desire.
Study two, the quantitative phase of the research, applied self-expansion theory (Aron & Aron, 1986) to investigate differences between family purity and non-family purity couples. A sample of 90 married Jewish dyads (N = 180) participated in a cross-sectional online questionnaire. Findings suggest that while non-practicing couples report greater self-expansion, family purity couples report greater sexual closeness. Family purity couples also report the same closeness and sexual closeness ideals, whereas non-practicing couples reported divergent ideals. Non-practicing family purity husbands had the greatest reported discrepancy between ideal and actual sexual closeness.
The combined findings suggest that sanctioned prosocial distancing as practiced by family purity couples enables the integration of cognitive growth and mitigates the threat of autonomy. Prosocial distancing within the family purity marriage appears to provide the wife space for autonomy that in turn provokes novelty and sexual desire. Findings are discussed in relation to theoretical contributions, study limitations, and future directions.
ContributorsFramer Black, Melissa Wallace (Author) / Pettigrew, Jonathan (Thesis advisor) / Roberto, Anthony J (Thesis advisor) / Thompson, Marilyn S (Committee member) / Arizona State University (Publisher)
Created2020