The Use of Different Happiness Rating Scales: Bias and Comparison Problem?

This paper uses data of reported happiness which is measured at 4, 5, 7 and 11 likert-scale points. A group of 137 respondents was selected to study the comparison problem on the estimated mean happiness using direct rescaling. It is found that the 11-point scale’s estimated mean happiness is significantly higher than the 4 and 7-point scale. This paper also proposes an alternate method of rescaling using transition probabilities as weights. This adjusted rescaling resembles the calculation of expected value and provides better mean comparison.     

Modeling Transition Rates Using Panel Current-Status Data: How Serious is the Bias?

Studies of disability dynamics and active life expectancy often rely on transition rates or probabilities that are estimated using panel survey data in which respondents report on current health or functional status. If respondents are contacted at intervals of one or two years, then relatively short periods of disability or recovery between surveys may be missed. Much published research that uses such data assumes that there are no unrecorded transitions, applying event-history techniques to estimate transition rates. In recent years, a different approach based on embedded Markov chains has received growing use. We assessed the performance of both approaches, using as a criterion their ability to reproduce the parameters of a “true” model based on panel data collected at one-month intervals. Neither of the widely used approaches performs particularly well, and neither is uniformly superior to the other.     

Is Gaydar Affected by Attitudes Toward Homosexuality? Confidence,Labeling Bias,and Accuracy

Previous research has largely ignored the relationship between sexual orientation judgement accuracy, confidence, and attitudes toward homosexuality. In an online study, participants (N = 269) judged the sexual orientation of homosexual and heterosexual targets presented via a series of facial photographs. Participants also indicated their confidence in each judgment and completed the Modern Homonegativity Scale (Morrison & Morrison, 2002). We found that (1) homosexual men and heterosexual women were more accurate when judging photographs of women as opposed to photographs of men, and (2) in heterosexual men, negative attitudes toward homosexual men predicted confidence and bias when rating men’s photographs. Findings indicate that homosexual men and heterosexual women are similar in terms of accuracy in judging women’s sexuality. Further, especially in men, homophobia is associated with cognitive biases in labeling other men but does not have a relationship with increased accuracy.     

Social Desirability Bias in Self-reports of Physical Activity: Is an Exercise Identity the Culprit?

Like that of other normative behaviors, much of the research on physical exercise is based on self-reports that are prone to overreporting. While research has focused on identifying the presence and degree of overreporting, this paper fills an important gap by investigating its causes. The explanation based in impression management will be challenged, using an explanation based in identity theory as an arguably better fitting alternative. Respondents were randomly assigned to one of two conditions: (1) a web instrument using direct survey questions, or (2) a chronological reporting procedure using text messaging. Comparisons to validation data from a reverse record check indicate significantly greater rates of overreporting in the web condition than in the text condition. Results suggest that measurement bias is associated with the importance of the respondents’ exercise identity, prompted by the directness of the conventional survey question. Findings call into question the benefit of self-administration for bias reduction in measurement of normative behaviors.     

Sun Belt Rising: Regional Population Change and the Decline in Black Residential Segregation, 1970–2009

The goal of this study is to examine the extent to which population shifts over the post–Great Migration period and divergent trends in segregation across regions contributed to the overall decline in black segregation in the United States in recent decades. Using data from the 1970 to 2000 decennial censuses and the 2005–2009 American Community Survey (ACS), our analysis indicates that black dissimilarity and isolation declined more in the South and West than in the Northeast and Midwest. Nevertheless, regional population shifts account for only a modest amount (8 % to 12 %) of the decline in black-white segregation over the period and for an even smaller proportion of the decline in black-nonblack segregation, in part because the largest declines in segregation occurred in the West while the region with the largest relative increase in the black population was the South. Using more refined census divisions rather than census regions provided some additional explanatory power (shifts across divisions explained 15 %–16 % of the decline in black-white segregation): divisions with larger gains in their share of the black population tended to have larger declines in black segregation. Overall, although the effect of the regional redistribution of the black population on declines in segregation was significant, of even greater importance were other causes of substantial declines in segregation in a wide array of metropolitan areas across the country, and especially in the West, over the past 40 years.     

Trends in Occupational Segregation by Gender 1970–2009: Adjusting for the Impact of Changes in the Occupational Coding System

In this article, we develop a gender-specific crosswalk based on dual-coded Current Population Survey data to bridge the change in the census occupational coding system that occurred in 2000 and use it to provide the first analysis of the trends in occupational segregation by sex for the 1970–2009 period based on a consistent set of occupational codes and data sources. We show that our gender-specific crosswalk more accurately captures the trends in occupational segregation that are masked using the aggregate crosswalk (based on combined male and female employment) provided by the U.S. Census Bureau. Using the 2000 occupational codes, we find that segregation by sex declined substantially over the period but at a diminished pace over the decades, falling by only 1.1 percentage points (on a decadal basis) in the 2000s. A primary mechanism by which segregation was reduced was through the entry of new cohorts of women, presumably better prepared than their predecessors and/or encountering less labor market discrimination; during the 1970s and 1980s, however, occupational segregation also decreased within cohorts. Reductions in segregation were correlated with education, with the largest decrease among college graduates and very little change in segregation among high school dropouts.     

Segregation Through the Lens of Housing Unit Transition: What Roles Do the Prior Residents, the Local Micro-Neighborhood, and the Broader Neighborhood Play?

This study focuses on segregation as it plays out at the micro-level of housing unit transition. Employing a unique sample that places housing units into micro-neighborhoods and census tracts, this study tests whether the characteristics of the previous residents of the unit, the local micro-neighborhood, or the broader tract best explain the race/ethnicity of the new residents in a housing unit. The results show that the racial/ethnic composition of the local micro-neighborhood has even stronger effects on the race/ethnicity of the new residents than does the racial/ethnic composition of the broader census tract. The results also reveal that even when the racial/ethnic composition of these two contexts are accounted for, the race/ethnicity of the prior residents has a very strong effect on the race/ethnicity of the new residents. I consider possible explanations for this household-level effect. One new theoretical explanation I put forward is that prospective residents use the race/ethnicity of the prior residents as a signal regarding the neighborhood??s appropriateness for them; I test and find that this hypothesized signaling effect is even stronger in certain micro-neighborhood, neighborhood, and county contexts.     

A Comparative Evaluation of Error and Bias in Census Tract-Level Age/Sex-Specific Population Estimates: Component I (Net-Migration) vs Component III (Hamilton–Perry)

While the housing-unit method continues to be the preferred method nationwide for producing small-area population estimates, this procedures lacks a method for making age/sex-specific estimates. This paper reports evaluation research on implementation of component-based methods for estimating census tract populations with age/sex detail. Two alternatives are explored: (1) the Component I method relying upon estimates of births, deaths, and net-migration and (2) the Component III method relying solely upon 1990 and 2000 Census counts. From an April 1, 2000 base, each method is used to make estimates moving forward to an April 1, 2010 estimate that is compared to the results of the 2010 Census. The two methods are compared in terms of accuracy and bias using both absolute and algebraic mean and median percentage errors. Results are reviewed and discussed in light of their implications for applied demographers tasked with making small-area demographic estimates.