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Postneonatal mortality (PNM), which differs from infant and perinatal mortality, has been observed in the past 25 years with respect to the health outcomes of children. While infant and perinatal mortality have been well-evaluated regarding racial differentials, there are no substantial data on PNM in this perspective. The purpose of this study was to assess whether or not social determinants of health adversely affect racial/ethnic PNM differentials in the USA.

A cross-sectional, nonexperimental epidemiologic study design was used to assess race as an exposure function of PNM using Cohort Linked Birth/Infant Death Data (2013). The outcome variable assessed PNM, while the main independent variables were race, social demographic variables (i.e. sex and age) and social determinants of health (i.e. marital status and maternal education). The chi-square statistic was used to assess the independence of variables by race, while the logistic regression model was used to assess the odds of PNM by race and other confounding variables.

During 2013, there were 4,451 children with PNM experience. The cumulative incidence of PNM was 23.6% (n = 2,795) among white infants, 24.3% (n = 1,298) among Black/African-Americans (AA) and 39.5% (n = 88) were American-Indian infants (AI), while 21.3% (n = 270) were multiracial, χ² (3) = 35.7, p < 0.001. Racial differentials in PNM were observed. Relative to White infants, PNM was two times as likely among AI, odds ratio (OR) 2.11 (95% confidence interval [CI] 1.61, 2.78). After controlling for the confounding variables, the burden of PNM persisted among AI, although slightly marginalized, adjusted odds ratio (aOR) 1.70, (99% CI 1.10, 2.65).

In a representative sample of US children, there were racial disparities in PNM infants who are AI compared to their white counterparts, illustrating excess mortality. These findings suggest the need to allocate social and health resources in transforming health equity in this direction.

This study aims to examine the effect of organizational justice (OJ) delivery on organizational commitment (OC) while controlling variables that potentially confound this effect. These confound variable includes gender, education and tenure.

A causal quantitative field research and a cross-sectional research approach are used. A structured questionnaire is used to collect data from 463 randomly sampled employees of 13 commercial banks in Koforidua, Ghana. Structural equation modelling is used to analyze the data.

The study establishes that a statistically significant effect is made by OJ delivery on OC (p < 0.0001), even after controlling for the effects of gender, education and tenure. The model used also fits the data collected considerably (i.e. χ² = 0.258; p-value = 0.611). Thus, the relationship between OJ and OC is not confounded by how long the employee has served on the job or by the highest educational level of employees. However, this relationship was significantly confounded by gender on the basis of sharing significant covariance with them.

Even though studies exist generally on OJ and OC, the focus on Ghana and banks in particular have been skeletal and have ended in testing just the relationship without highlighting the role of confounding variables as done in this study. Apart from adding to extant literature, findings will also inform decision-making on strategies and policies to improve OJ and ultimately the employee commitment that comes with.

This study aims to examine the effect of health workers’ emotional intelligence (EI) on job performance (JP), with potential confounding variables controlled for. The confounding variables introduced are gender, education, tenure and level of access to in-service training.

A cross-sectional quantitative research design was used in this study. A self-reported questionnaire was used to collect data from 1,163 health professionals, who were selected using the simple random sampling method. Confirmatory factor analysis (CFA) was used to test a framework of hypotheses.

The resulting CFA model is of a good fit at 5 per cent significance level [chi-square (χ²) = 1.492; p = 0.222]. Moreover, the study finds that EI significantly predicts JP among health workers after controlling for the lurking variables.

Though several studies have confirmed that EI makes a significant positive effect on health workers’ JP, none of them controlled for potential confounding variables. For this reason, the effect detected in previous studies could include the influence of lurking variables and is consequently spurious. Apart from contributing to extant literature, this study controls for these lurking variables in an attempt to enhance the value of empirical evidence that supports the relevance of EI to health-care performance.

The “Mathews Committee” (Mathews, 1990) concluded that the research performance of the accounting discipline in Australia was weak. This paper is motivated by the need to improve the quality of accounting research in Australia and probably some other countries as well. It discusses three issues of crucial importance to research quality ‐ internal, external, and construct validity with the discussion illustrated with examples from existing accounting research. Internal validity is concerned with the ability to make causal statements from a piece of research. External validity is concerned with the ability to generalize from the research and construct validity is interested in the validity of the variables measured. Internal and external validity are discussed within the context of five common research designs. No one design is strong in both types of validity and tradeoffs between internal and external validity are necessary. When designing a new research project, the particular tradeoffs made should depend on the research objectives. The paper discusses how these choices might be made and how, if internal validity problems exist, they might be minimized. With construct validity, no tradeoffs are appropriate ‐ the researcher should attempt to eliminate this type of invalidity. The paper discusses how this might be done.

Negative disclosure tone in 10-K annual reports has economic consequences, yet relatively little is known about how it is generated. Boards of directors play an important governance role with respect to mandatory disclosures and personally sign off on Form 10-K, leading us to expect directors to influence financial reporting narratives. This study investigates whether the negative tone of firms' narrative annual report disclosures is associated with the human and social capital of its board of directors.

Multivariate regression analyses of negative disclosure tone (Loughran and McDonald, 2011) on board members' average age, gender, education, financial expertise and turnover is performed. A host of supplemental tests to corroborate our primary analysis, including using Sarbanes-Oxley's financial expert mandate as an exogenous shock to board composition, impact threshold for a confounding variable, placebo analysis, portfolio tests of more and less negative disclosing firms and portfolio tests of “loud” versus “quiet” boards are conducted.

Evidence that directors' gender, education, financial expertise and board turnover are associated with more negative disclosure tone, while directors' age is associated with less negative disclosure tone is found. The study also looked within the board to differentiate whether these findings are driven by characteristics of inside directors or outside directors serving on the audit committee, or both, as these are the specific groups of directors we would expect to play a role in disclosure. It was found that negative disclosure tone is associated with a lower bid-ask spread, so this study interpreted more negative tone as containing more descriptive information.

This study helps decode the “black box” of annual report disclosure tone, which Loughran and McDonald (2011) show has important economic implications. The results help inform stakeholders such as policymakers, executives and capital market participants as to how board member traits are associated with disclosure. The findings are particularly important as this study bears witness to the increasing prominence of gender/diversity mandates (e.g. Israel, Norway, California) and financial expertise mandates (e.g. Sarbanes-Oxley).

The need for random assignment in sexual offending programme evaluation is clear. Decades of high dependence on weak-inference methodology, that of observational studies, has inhibited professional agreement regarding the effects of programmes. Observational studies have a place in evaluation research when more rigorous scientific designs precede them, as occurs in neighbouring fields of drug development and health. If, however, observational studies remain the only method used to evaluate sexual offending programmes, the field will continue to endure uncertainty with confident causal inferences regarding their effects remaining elusive. The paper aims to discuss these issues.

The paper takes the form of a literature review and discussion.

The case for random assignment is made alongside a rebuttal of arguments against their use.

This is an original look at the need for random assignment in sexual offending programme evaluation taking into account existing studies and discussion topics.

This paper covers different types of research designs, like, longitudinal, cross-section and sequential design, experimental design (including factorial experimental design), and correlational design, with illustrative examples. This paper will help a scholar to know how choice of research design depends on a number of parameters, highlighted by author.