Occupational prestige from preference orientations via the Markov Chain: An alternative to respondent ranking techniques

This paper suggests a method of determining occupational prestige structures through simulation of transfer of credit processes involving the Markov Chain. The method required recording present and preferred occupations of a representative sample of employed persons. Following the example of Blau (1956) and Empey (1956) the concept “preferred occupation” is suggested as clearly distinct from occupational choice which has been treated by other researchers (Musgrave 1967; Carol and Parry 1968; Kuvlesky and Bealer 1966; Haller and Sewell 1967; Solcum 1956; and Philband and Gregory 1956). A series of Markov Chain interactions transforms the present-preferred occupation matrix, “controls” for structure limitations on ambitions and social distance, and generates a hierarchical model of occupational prestige structures. This paper examines the methodological and theoretical issues implicit in the measurement of prestige and the establishment of prestige hierarchies, and describes the procedures of the application of the Markov Chain to occupational preference responses. It reports the results of the application of this technique to a pilot sample and compares the resulting hierarchy with those derived from NORC measures and the Duncan socioeconomic index.     

A note on block variables in multiequation models

This paper seeks to further refine the efforts of Coleman (Social Science Research 5, 1–20, 1976) and Igra (Social Science Research 8, 253–264, 1979) to develop summary regressionlike coefficients for causal models involving blocks of conceptually related variables, using Heise's (Sociological Methods and Research 1, 147–173, 1972) strategy of explicitly representing block concepts as unobserved intervening variables in a multiequation model. Such models can be estimated using the maximum-likelihood techniques of Jöreskog and Sörbom (LISREL IV: Analysis of Linear Structural Relationships by the Method of Maximum Likelihood, International Educational Services, Chicago, 1978). The procedure proposed leads to (a) an unambiguous definition of block variables in terms of their constituent variables; (b) a clear definition of effects of conceptual variables on one another, and on single response variables, and a reduced model formulated in terms of conceptual variables only; and (c) a clear decomposition of correlations between conceptual variables into direct effects, indirect effects, and unanalyzed components. Numerical illustration is provided.     

A multivariate analysis of response structure: Race attitudes, 1972–1977

A particular kind of latent class model is used to characterize the unobservable variable measured by six discrete indicators of racial stance in 1972 and 1977. Methods recently introduced by Clogg and Goodman, 1982, Clogg and Goodman, 1983) for the simultaneous latent structure analysis of two multidimensional contingency tables are employed in across-year homogeneity tests on the latent class proportions. Trends in multivariate response patterns over the 5-year interval are then examined by cross-classifying the predicted latent variable with selected demographic characteristics of respondents in each year. The results indicate that (1) no significant changes in the distribution of the latent variable occurred over the 5-year time period, and (2) the status of certain demographic variables as predictors of racial stance fluctuated between the two survey years.     

Components of change in the number of female family heads ages 15 to 44, an update and reanalysis: United States, 1940 to 1983

We review the literature dealing with the various components of change in the number of female family heads and conclude that P. Cutright's (1974, Journal of Marriage and the Family 36, 714–721) four components of change in the number of ever-married female family heads can be usefully applied to a reanalysis of decade-by-decade changes in this quantity among white and nonwhite women ages 15–44, from 1940 through 1980. However, we substantially revise and update Cutright's (1974) original data. Our findings include the fact that while the relative importance of the various components of increases in ever-married female family headship vary from decade to decade, overall trends are fairly similar for white and nonwhite women. Moreover, the rapid rise between 1970 and 1980 in the number of white and nonwhite female family heads among the never-married (single) continued through the 1980 to 1983 period. A decade ago, Cutright (1974) predicted that a change in the number of female family heads from 1970 on would reflect little more than changes in the numbers of ever- and never-married women ages 15–44. We discuss this inaccurate prediction and conclude that wishful thinking is a poor guide in forecasting the future.     

Intergenerational and career mobility in Britain: An integrated analysis

Mobility analysis has traditionally concentrated on the task of charting flows in the two-way contingency table which relates occupational origin to occupational destination. It has not yet undertaken a unified analysis of intergenerational and intragenerational aspects of mobility. And only rarely does it incorporate terms which represent ordered concepts such as inequality or vertical movement. In contrast, path analysis has typically imposed strong orderings on the data, and it has been employed to tease out the relations among several occupational variables. Its main defect is that it entirely abstracts from shifts in mean occupational position, and also from change in the shape of the occupational distribution. Yet both of these are important sources of mobility. The present paper shows how two innovations in mobility analysis may be generalized to constitute a technique which unites the strengths of path analysis with those of log-linear analysis. The two innovations are (a) the conceptual disaggregation of perfect and exchange mobility, and (b) the imposition of an ordered component within each (K. Hope, 1981, Sociology 15, 19–55). The outcome of this generalization is a simple yet powerful account of mobility in Britain.     

Intransitivity in the structure of small closed groups

Observations of the structure of closed groups are presented which give rise to four observable tendencies within either a sociogram or the cat_ij matrix as developed by Bernard and Killworth (1973). These observations are used to form theories of social structure of varying degrees of complexity; all these theories, however, are somewhat unusual in that intransitivity of interpersonal sentiment, far from being an artifact, is proposed as an essential part of the structure of human groups, whereas recent papers have stressed the occurrence of transitivity within a group. A statistical theory including the earlier theories shows that at least three subgroups must exist within a group, even if only two are forced by external organization. One of these subgroups is formed of mutually unknown individuals who serve as connecting links between other subgroups formed by strong interpersonal sentiment.     

Inequality of educational opportunity in France and the United States

Unequality of educational opportunity is related to school structure. Comparison of the attainment process in France and the United States reveals the consequences of structure for individuals' attainments. Turner's (1960) typology of educational systems is applied. The French educational system is shown to be closer to Turner's “sponsorship system,” and that of the U. S. closer to the “contest” type. Inequality of educational opportunity, as indicated by the effect of father's occupational status on years of schooling completed, is greater in France than in the U. S. The difference is accounted for by school structural variables, indicating the importance of structure for inequality of opportunity. Other differences concerning the causes of educational attainment in France and the U. S. are also discussed.     

The analysis of ordinal dispersion: A comparison of Leik's “D” with a variance formula

The frequency of ordinal data and the importance of attitudinal consensus in social research motivated Leik [Leik, R. L. (1966), Pacific Sociological Review 9, 85–90] to formulate a simple, effective measure of ordinal dispersion, but he did not provide a method for its statistical analysis, and its operational interpretation for nonextremal values is unclear. Leik's D is an equal-interval, “folded” scoring vector inner dot-product, scalar transformation of the vector of ordered relative frequencies. The folding point is the median category. The metric analog of D is the difference between the random variable's expected values above and below the median. An equal-interval, pure variance measure of ordinal dispersion is posited and compared to D. They correlate closely but not perfectly, and D has a serious problem when an extremal category has more than half the total cases. Both formulas are easily generalized to non-equal-interval scorings. A general linear model for categorical data permits easy statistical comparisons of D, but not the variance. D tends to underestimate the degree of significant dispersion in comparison to the variance formula, it is suggested.     

Qualitative variance,entropy, and correlation ratios for nominal dependent variables

In this paper we derive a measure of dispersion for a nominal variable having k ? 2 categories and compare it with ordinary quantitative variance and with entropy. We then develop two qualitative analogs to the R² statistic, one based on qualitative variance, the other on entropy. For concreteness, data from the study of The American Soldier by S. A. Stouffér, E. A. Suchman, L. C. Devinney, S. A. Star, and R. M. Williams, Jr. (1949, Princeton Univ. Press, Princeton, N.J.) are used to illustrate the computations and compare these two correlation ratios for a variety of logit models. It is shown that both measures are reasonable measures of the proportion of variation of one or more qualitative dependent variables explainable by any mixture of qualitative and quantitative predictor variables. They can be used with logit, probit, dummy variable regression models, or probability models of some other type.     

The Mapping of family-composition preferences: A scaling analysis

When subjects express preference for one type of family composition over another, their judgments have the useful property that they can be referred to the ‘objective’ characteristics defining the stimuli. Pair comparison preference data from the Bollen-Delbeke study are “internally” analyzed according to the Carroll-Chang “Points of View” vector model and Coombs' Unfolding (distance) model. The distance model was found to give a better fit. Secondly, the models are compared within the framework of Carroll's Preference Mapping hierarchy of models, referring the data to the ‘objective’ structure underlying the stimuli. The simple distance model is found to give a much better fit.The methodological and substantive implications of this finding are discussed.¹     

Chance in Guttman scaling

In their recent paper (1977, Social Science Research, 6, 188–196), Kenny and Rubin offer an interpretation of “chance” in Guttman scaling. Their approach is based on the matrix of probabilities p_ij, giving the chance that the ith respondent passes the jth item. It is shown that their interpretation of chance in fact corresponds to a stochastic model of a perfect unidimensional scale. An alternative condition for chance based on the matrix of p_ij's is proposed. This is then proved to be equivalent to the usual interpretation.     

Sex and marriage of raters in the evaluation of occupations

The evaluation of occupational prestige ratings obtained from different subgroups within the same society has been shown to be remarkably similar (Reiss, A. J., Jr., Duncan, O. D., Hah, P. K., and North, C. C., 1961, Occupations and Social Status, Free Press, New York; Svalastoga, K., 1959, Prestige, Class, and Mobility, Gyldendal, Copenhagen; Tiryakian, E. A., 1958, American Journal of Sociology 63 (January), 390–399). Our purpose is to explore how the gender and marital status of raters influence the evaluation of occupational prestige. Using more detailed data than heretofore available, we will reexamine the similarity between occupational prestige evaluations observed among female and male respondents. Models of the way in which characteristics of occupational incumbents, such as income and education, are constructed to explore possible differences in the ways in which male and female raters evaluate occupations. The results of this analysis by gender of rater will then be used to examine both the gender and marital status of raters.     

Jobs and skills: A multivariate structural approach

In this paper, we illustrate a multivariate structural approach to explaining inequalities in job skills. We argue that skill differences are produced by work structures operating at several levels of analysis, including organizations, occupations, technology, and unions. In addition, background characteristics of individuals are important for allocating men and women to positions in the technical division of labor. We derive measures of two dimensions of job skills (substantive complexity and autonomy) from questionnaires completed by 4567 workers, managers, and supervisors of 54 plants in 7 manufacturing industries in south-central Indiana. We supplement these questionnaire data with information on work structures obtained from interviews with key informants in each plant, which yielded information on the organizational and technological correlates of skill; and measures of occupational activities from the Dictionary of Occupational Titles (3rd ed., U.S. Bureau of the Census, U.S. Govt. Printing Office, Washington, DC 1965). Our contextual models provide evidence that the different work structures have distinct impacts on the two dimensions of job skills.     

Some evidence concerning the value hypothesis of intergenerational status transmission: A research note

This paper reports some evidence bearing on the value hypothesis of intergenerational status transmission. The point of departure is the studies of Kohn (1969, Class and Conformity: A Study in Values, Dorsey, Homewood, Ill.) and Wright and Wright (1976, American Sociological Review, 41, 527–537) on the social class related value orientations called “self-direction” and “conformity.” Our research examines whether children's valuations along this dimension are associated with the valuations of their parents, as the value hypothesis would argue. Key associations consistent with the hypothesis are found although there is, overall, considerable variation in children's valuations not related to variation in the valuations of their parents. Implications of the finding for future examination of the value hypothesis are discussed.     

Babies and the blackout: The genesis of a misconception

Nine months after the great New York City blackout in November 1965, a series of articles in the New York Times alleged a sharp increase in the city's birthrate. A number of medical and demographic articles then appeared making contradictory (and sometimes erroneous) statements concerning the blackout effect. None of these analyses are fully satisfactory from the statistical standpoint, omitting such factors as weekday-weekend effects, seasonal trends, and a gradual decline in the city's birthrate. Using daily birth statistics for New York City over the 6-year period 1961–1966, techniques of data analysis and time-series analysis are employed in this paper to investigate the above effects.     

清初五鹿诗社考述

五鹿诗社得名于郜焕元所编《五鹿诗选》,是清初以大名府为中心的诗人群体。诗社成员多生于仕宦之家,入清后通过科举跻身仕途,属于清初"纱帽"诗人。诗人之间基于家族、姻亲、同学等关系,交往频仍。他们以地缘为纽带,以读书、游园、留别为契机,流连唱和,形成规模庞大的诗人群体。诗社成员以郜焕元、袁佑、窦遴奇三人成就最高。他们诗歌的思想、内容或出于时忌或囿于眼界,介入社会的程度不深,易代之际的民族矛盾与阶层冲突在诗歌中少有体现,缺少对历史的反思和对现实的批判,亦缺少鲜明的艺术个性。诗社诗人与地方官吏及游历诗人相互砥砺激发,一起有明一代地方诗坛之衰,共同营造了清初大名诗坛盛况。     

Not making the transition to college: School, work, and opportunities in the lives of American youth

Unlike traditional research on educational stratification that focuses on the pursuit of higher education, our study examines why young adults do not make the transition to college, using a nationally representative sample of college non-enrollees (N = 2640). In applying latent class analysis techniques, we identified multiple types of students who do not pursue college. One group of non-enrollees (27.6%) reports forgoing college because the economic barriers are too high - either because of college affordability or family financial responsibility. These youth had both low math test scores and low family income, and thus closely align with regression-based analyses on college enrollment that emphasize academic and economic constraints as the central barriers to educational progress. However, we also identified a second, often overlooked group of youth who had the academic preparation and family income support to enroll in higher education, but decided to forgo college because they preferred to work and to make money (18.3%). The heterogeneous motives of these youth suggest that postsecondary decisions are not always guided by academic and economic barriers, but sometimes driven by previous work experience and perceptions of local opportunities for school and work.