A confirmatory factor analysis of the hendrick‐hendrick love attitudes scale: We may not yet have an acceptable model

Loving is a fundamental aspect of being human. Freud himself argued that the inability to love leads to illness, and some empirical research appears to support his view. Yet our knowledge of the nature of love remains primitive, because until recently it was not considered scientifically respectable to investigate love phenomena. This study used confirmatory factor analytic methods to test the fit of various models to data provided by 499 subjects on the 1990 version of the Hendrick and Hendrick Love Attitudes Scale. The results suggest that counselors and researchers should not treat the love styles delineated by Lee as discrete or uncorrelated entities. The results also suggest that the traditional model regarding this measure, positing (a) six factors (b) that are uncorrelated, may not provide a very good fit to data from the Love Attitudes Scale.     

Mediation Analysis in a Latent Growth Curve Modeling Framework

This article presents several longitudinal mediation models in the framework of latent growth curve modeling and provides a detailed account of how such models can be constructed. Logical and statistical challenges that might arise when such analyses are conducted are also discussed. Specifically, we discuss how the initial status (intercept) and change (slope) of the putative mediator variable can be appropriately included in the causal chain between the independent and dependent variables in longitudinal mediation models. We further address whether the slope of the dependent variable should be controlled for the dependent variable's intercept to improve the conceptual relevance of the mediation models. The models proposed are illustrated by analyzing a longitudinal data set. We conclude that for certain research questions in developmental science, a multiple mediation model where the dependent variable's slope is controlled for its intercept can be considered an adequate analytical model. However, such models also show several limitations.     

Local government allocation of cultural services

In the present paper, we analyse the allocation process for cultural services in Norwegian municipalities. The cultural sector at this administrative level is decomposed into the following eight subcategories: children’s and youth activities, libraries, cinemas, museums, arts dissemination, cultural heritage, cultural schools, and other cultural services. By means of budget shares for these eight cultural services and a residual sector consisting of all other municipal services, we estimate a system of demand relations which are interdependently linked to each other by a budget restriction. Our analyses are based on data from 409 out of 429 Norwegian municipalities during the period 2002–2010. In the empirical analyses, we mainly focus on the effects of income variation for the cultural services. We estimate effects of free income, matching grants to each sector, and user fees and other sector-specific income for each sector. We also estimate crowding-out effects for the cultural sectors of demographic variables indicating higher demand for services such as education, childcare, and health services. Our results confirm previous results. There are interesting differences within the group of cultural services, and these are partly related to different levels of national standardisation and regulation among the cultural services.