Multiple-Indicator Multilevel Growth Model: A Solution to Multiple Methodological Challenges in Longitudinal Studies

This paper described the versatility of the multiple-indicator multilevel (MIML) model in helping to resolve four common challenges in studying growth using longitudinal data. These challenges are (1) how to deal with changes in measurement over time and investigate temporal measurement invariance, (2) how to model residual dependence due to the nested nature of longitudinal data, (3) how to model observed trajectories that do not follow well-known functions commonly discussed in the methodology literature (e.g., a linear or quadratic curve), and (4) how to decide which predictors are relatively more important in explaining individuals’ change over time. With an example of psychological well-being from the Wisconsin Longitudinal Study, we illustrated how the four methodological challenges can be resolved using the 3-phase MIML procedures and the Pratt’s importance measures.     

Certificates of optimality: the third way to biproportional apportionment

The biproportional apportionment problem (BAP) must be faced in many proportional electoral systems where seats must be allocated to parties within regions. BAP is a non-trivial optimization problem, and only sophisticated algorithms are currently available for solving it. The issue is: are they “writable” as an actual law? Citizens rightly demand simple, easy to understand, voting systems. The alternative, though, seems to have simple, but unsound electoral laws. We propose the following way out of this dilemma: leave to a mathematically sophisticated algorithm the task of producing an optimal apportionment, but attach to it a “certificate of optimality”, that is, describe a simple procedure whereby anybody can check, through some elementary operations, that the seat allocation output by the algorithm is indeed an optimal apportionment. We discuss one such certificate, based on the Max flow- min cut Theorem, relative to a parametric max flow method of ours for BAP.     

Sample Heterogeneity and the Measurement Structure of the Multidimensional Students’ Life Satisfaction Scale

Several measurement assumptions were examined with the goal of assessing the validity of the Multidimensional Students’ Life Satisfaction Scale (MSLSS), a measure of adolescents’ satisfaction with their family, friends, living environment, school, self, and general quality of life. The data were obtained via a cross-sectional survey of 8,225 adolescents in British Columbia, Canada. Confirmatory factor and factor mixture analyses of ordinal data were used to examine the measurement assumptions. The adolescents did not respond to all the MSLSS items in a psychometrically equivalent manner. A correlated five-factor model for an abridged version of the MSLSS resulted in good fit when all negatively worded items and several positively worded items (the least invariant) were excluded. The abridged 18-item version of the MSLSS provides a promising alternative for the measurement of five life domains that are pertinent to adolescents’ quality of life.     

Gender role identity in a sample of Italian male homosexuals

Gender role is a multifactorial concept, as gender-related attitudes, behaviors, and personality are partially autonomous. The aim of the study was to evaluate the prevalent gender role identity in a sample of male homosexuals. One hundred male homosexuals and 50 male heterosexuals matched for age and sex, have been assessed with the Italian version of the Bem Sex-Role Inventory (BSRI; Bem, 1974). Statistically significant differences have been found between the two groups at the dimensions "Masculine" (z = 1.963; p = 0.001) and "Androgyny" (z = 2.367; p < 0.0001). The results obtained from the present study tend to confirm that homosexuals view themselves as adrogynous individuals, sharing both features of masculine and feminine gender roles.     

Ethnicity,Modern Prejudice and the Quality of Life

The aim of this investigation was to measure levels of ethnic or cultural background diversity, social cohesion and modern prejudice, and the impact of such diversity, cohesion and prejudice on the quality of life. Using a sample of 743 residents of Prince George, British Columbia, we identified diverse ethnic or cultural groups, and created several indexes of heterogeneous social networks and a measure of modern prejudice. Dividing the total sample into three roughly distinct groups containing, respectively, respondents self-reporting an ethnic or cultural background that was aboriginal, non-aboriginal visible minority or anything else, we discovered that all significant comparisons indicated that people with aboriginal backgrounds reported a generally lower quality of life than those in the other two groups. The quality of life scores of the other two groups were practically indistinguishable. Given the demographic structure of our sample, the revealed differences could not be attributed to differences in socio-economic classes. Members of the largest group of respondents tended to be most prejudiced and optimistic, people with aboriginal backgrounds tended to be least prejudiced and optimistic and people with visible minority backgrounds tended to be between the other two groups. Regressions revealed that a variety of ethnic/culture-related phenomena could only explain 8%, 9% and 10%, respectively, of the variation in scores for happiness, life satisfaction and satisfaction with the overall quality of life. When domain satisfaction scores were added to the set of predictors, we were able to explain 48%, 69% and 54%, respectively, of the variation in scores for happiness, life satisfaction and satisfaction with the overall quality of life. In the presence of the domain satisfaction scores, the scores on the ethnic/cultural related phenomena added only one percentage point of explanatory power for happiness and life satisfaction, and three percentage points for satisfaction with the overall quality of life. All things considered, then, it is fair to say that this project showed that ethnic or cultural background diversity, social cohesion and modern prejudice had relatively very little impact on the quality of life of our sample of respondents.     

COVID Health Structure Index: The Vulnerability of Brazilian Microregions

Social Indicators Research - Many developing countries have highly unequal health systems across their regions. The pandemic of COVID-19 brought an additional challenge, as hospital structures...     

Multisystemic Therapy for Child Abuse and Neglect: Do Parents Show Improvement in Parental Mental Health Problems and Parental Stress?

Multisystemic Therapy for Child Abuse and Neglect (MST-CAN) is an evidence-based program for families with children who experience maltreatment. This clinical trial is the first evaluation of MST-CAN in a German-speaking area. Parental psychological problems and parental stress have been shown to be risk factors for child abuse and neglect. By the end of treatment, parents reported significantly less psychological distress than before the start of MST-CAN. Six months after treatment, this reduction was still evident. However, parents did not report any significant reduction of parental stress at any of the three time points. MST-CAN is an effective intervention for child maltreatment that not only combats child abuse and neglect but also has the potential to alleviate parental psychological distress.     

Goodness-of-Fit Tests for the Gamma Distribution Based on the Empirical Laplace Transform

We propose a class of goodness-of-fit tests for the gamma distribution that utilizes the empirical Laplace transform. The consistency of the tests as well as their asymptotic distribution under the null hypothesis are investigated. As the decay of the weight function tends to infinity, the test statistics approach limit values related to the first non zero component of Neyman's smooth test for the gamma law. The new tests are compared with other omnibus tests for the gamma distribution.