Learning effects in coders and their implications for managing content analyses

From the perspective of study management, research is surprisingly lacking on two of the major challenges for planning and performing content analysis: determining the sample size (i.e. number of objects to code) and the required number of coders to hire. The optimization of both of these numbers will ultimately determine how efficiently available resources are used. This study contributes to the methodological discussion on coding by identifying and conceptualizing the role of learning effects with respect to the coding task and by highlighting the importance of considering the coding process when managing a content analysis. We present empirical evidence for the existence and impact of learning effects on coders’ coding speed. Accordingly, study management should take account of learning effects when determining the sample size and number of coders. We also provide an illustrative example of how learning effects can impact the results of pretests.     

Consumer Preferences and Demand for Annuities: Evidence From Hong Kong

Retirees without annuities in Hong Kong confront longevity and investment risks. Despite these risks, there is very limited uptake of annuities. This study identifies product and consumer characteristics that are associated with the demand for annuities in Hong Kong. We conduct a discrete choice experiment and distribute a consumer survey among two independent representative samples of workers aged between 40 and 64. Results suggest that a fixed monthly income and a 10-year guarantee period are two significant product characteristics, while a bequest motive, being married, and an understanding of the annuity are consumer characteristics that are associated with the demand for annuities. Being presented the optimal hypothetical annuity product, approximately one-third of middle-aged workers choose to annuitize their retirement savings. The findings and methods of this study can be applied for designing annuity products in other contexts.     

Speaking With and Without Words—An Analysis of Foster Children’s Expressions and Behaviors That Are Suggestive of Prior Sexual Abuse

This exploratory study reports on foster children’s informal self-disclosures of previously unknown histories of sexual abuse. Data were collected from 40 children’s files, and an inductive thematic analysis of verbal and behavioral expressions was conducted. Findings suggest that foster children’s self-disclosures can be fragmented, spontaneous, narrative, or triggered and often occur during everyday activities in the foster family. The children disclose their past by referring to the perpetrator or the severity of the abuse or by acting out, mostly by reenacting sexual abuse experiences. In addition, some children use childish vocabulary focusing on genitals or sexual acts they were involved in or want to be involved in. Last, some foster children seem to be linguistically challenged to disclose that a female person abused them or that they were forced to reciprocate sexually. This study adds to the understanding of the complex process of child sexual abuse disclosure in the context of foster care.     

INTRODUCTION TO THE SYMPOSIUM ON CONTEMPORARY BANKING RESEARCH: THE USE OF FIXED EFFECTS TO DISENTANGLE LOAN DEMAND FROM LOAN SUPPLY

With the onset of the financial crisis, disentangling the effects of loan demand and supply in contemporary banking research has become vital for a proper assessment of supply-related banking shocks. These shocks may negatively affect the real economy through many channels, such as the lending channel of monetary policy transmission, the bank risk-taking channel or the evaluation of macroprudential policy efficiency. All these rely on separating the two lending components. Empirical identification has largely relied on the use of demand-related fixed effects, which has also been applied in several analyses within this symposium. (JEL G21)     

Leadership and Effectiveness in the Context of Gender: The Role of Leaders' Verbal Behaviour*

This field study focuses on verbal consideration, which is a leadership behaviour that expresses esteem for the follower and her or his work, knowledge and opinion. It was assumed that the relationship between verbal consideration and various outcomes is moderated by the leader's gender. One‐hundred‐and‐forty leaders and 455 of their direct followers were surveyed in a one‐wave questionnaire study in Germany. Male and female leaders showed the same degree of verbal consideration as rated by their followers. Verbal consideration is related to three out of four outcome variables for both sexes. One unexpected moderating effect of leaders' gender was found: followers of male leaders displaying verbal consideration report less ‘irritation’ (a state of exhaustion considered a threat to good task fulfilment). One explanation may be that male leaders get ‘extra credit’ for showing verbal consideration as it may be thought to entail special effort, whereas for female leaders it may be seen as normal and routine. This assumption should be examined in further studies in order to get more information about the different mechanisms by which female and male leaders reach the same quality of outcomes.     

Using the Canonical Design Space to Obtain c-optimal Designs for the Quadratic Logistic Model

c-optimal designs for estimating the model parameters of the quadratic logistic regression model are considered. The designs are constructed via the canonical design space. It is shown that the number of design points varies between 1 and 4 depending on the parameter being estimated. Furthermore, formulae for finding the design points along with the corresponding design weights are derived.     

Integer-valued autoregressive models for counts showing underdispersion

The Poisson distribution is a simple and popular model for count-data random variables, but it suffers from the equidispersion requirement, which is often not met in practice. While models for overdispersed counts have been discussed intensively in the literature, the opposite phenomenon, underdispersion, has received only little attention, especially in a time series context. We start with a detailed survey of distribution models allowing for underdispersion, discuss their properties and highlight possible disadvantages. After having identified two model families with attractive properties as well as only two model parameters, we combine these models with the INAR(1) model (integer-valued autoregressive), which is particularly well suited to obtain auotocorrelated counts with underdispersion. Properties of the resulting stationary INAR(1) models and approaches for parameter estimation are considered, as well as possible extensions to higher order autoregressions. Three real-data examples illustrate the application of the models in practice.     

Consumer Confidence in the Safety of Food and Newspaper Coverage of Food Safety Issues: A Longitudinal Perspective

This study develops a longitudinal perspective on consumer confidence in the safety of food to explore if, how, and why consumer confidence changes over time. In the first study, a theory-based monitoring instrument for consumer confidence in the safety of food was developed and validated. The monitoring instrument assesses consumer confidence together with its determinants. Model and measurement invariance were validated rigorously before developments in consumer confidence in the safety of food and its determinants were investigated over time. The results from the longitudinal analysis show that across four waves of annual data collection (2003–2006), the framework was stable and that the relative importance of the determinants of confidence was, generally, constant over time. Some changes were observed regarding the mean ratings on the latent constructs. The second study explored how newspaper coverage of food safety related issues affects consumer confidence in the safety of food through subjective consumer recall of food safety incidents. The results show that the newspaper coverage on food safety issues is positively associated with consumer recall of food safety incidents, both in terms of intensity and recency of media coverage.