Suicide trends in Canada and West Germany: an application of configural frequency analysis

Canadian and West German successful suicides for the years 1974-1977 were used to fit a log-linear model relating age, method of suicide, gender, and country to suicide frequency. Configural frequency analyses (CFA) were performed to complement the log-linear analyses, as well as to obtain more information about the data. A log-linear model involving all four three-way interactions among these variables was required to explain the observed frequency distribution in a satisfactory manner. Results from this study support McIntosh and Santos's (1982) findings that each gender displays its own unique pattern of methods of suicide. This study also showed that each group has its own unique pattern of methods of suicide within each specific gender group. Results from CFA showed different patterns in the trends of suicide for each age x gender x country x method of suicide grouping. These results can be used to help clarify the intricate relationships among the factors that are important in explaining suicide trends.     

The use of configural frequency analysis for explorative data analysis

Configural frequency analysis (CFA) is a widely used method of explorative data analysis. It tries to detect patterns in the data that occur significantly more or significantly less often than expected by chance. Patterns which occur more often than expected by chance are called CFA types, while those which occur less often than expected by chance are called CFA antitypes. The patterns detected are used to generate knowledge about the mechanisms underlying the data. We investigate the ability of CFA to detect adequate types and antitypes in a number of simulation studies. The basic idea of these studies is to predefine sets of types and antitypes and a mechanism which uses them to create a simulated data set. This simulated data set is then analysed with CFA and the detected types and antitypes are compared to the predefined ones. The predefined types and antitypes together with the method to generate the data are called a data generation model. The results of the simulation studies show that CFA can be used in quite different research contexts to detect structural dependencies in observed data. In addition, we can learn from these simulation studies how much data is necessary to enable CFA to reconstruct the predefined types and antitypes with sufficient accuracy. For one of the data generation models investigated, implicitly underlying knowledge space theory, it was shown that zero‐order CFA can be used to reconstruct the predefined types (which can be interpreted in this context as knowledge states) with sufficient accuracy. Theoretical considerations show that first‐order CFA cannot be used for this data generation model. Thus, it is wrong to consider first‐order CFA, as is done in many publications, as the standard or even only method of CFA.     

Suicide trends in Australia, 1901-1985: an analysis of sex differentials

This paper analyzes trends in the male-female suicide ratio in Australia, using data for the period 1901-1985. The main finding of the paper is that modernization, as measured by an index composed of the female participation rate in the labor force and the urbanization rate, is positively related to the male-female suicide ratio. This is contrary to an earlier finding by Stack and Danigelis (1985), who reported an inverse relationship between these two variables. This finding is shown to be due to the fact that no correction was made for trend. When the data series are corrected for trend, a significant positive relationship is found between modernization and the male-female suicide ratio in Australia. Another finding of the paper is that the female suicide rate in Australia has been falling significantly since the mid-1960s. This is also at variance with Stack and Danigelis's hypothesis that as modernization proceeds, the female suicide rate rises. We discuss reasons for this in the Australian context.     

Temporal patterns of variable relationships in person-oriented research: longitudinal models of configural frequency analysis

This article reviews the premises of configural frequency analysis (CFA), including methods of choosing significance tests and base models, as well as protecting alpha, and discusses why CFA is a useful approach when conducting longitudinal person-oriented research. CFA operates at the manifest variable level. Longitudinal CFA seeks to identify those temporal patterns that stand out as more frequent (CFA types) or less frequent (CFA antitypes) than expected with reference to a base model. A base model that has been used frequently in CFA applications, prediction CFA, and a new base model, auto-association CFA, are discussed for analysis of cross-classifications of longitudinal data. The former base model takes the associations among predictors and among criteria into account. The latter takes the auto-associations among repeatedly observed variables into account. Application examples of each are given using data from a longitudinal study of domestic violence. It is demonstrated that CFA results are not redundant with results from log-linear modeling or multinomial regression and that, of these approaches, CFA shows particular utility when conducting person-oriented research.     

Suicide and suicide attempts in the European Economic Community: an analysis of trends, with special emphasis upon trends among the young

An attempt is made to explain the increase in adolescent suicidal behavior reported for most countries in the European Economic Community over the last two decades, within the framework of a social learning theory. A typology of suicidal acts based on an outcome-expectancy model is proposed that would make intelligible the observed positive correlation between the incidence of lethal and nonlethal suicidal acts, the latter having grown to epidemic proportions among the young. This epidemic can be attributed to the interplay of three groups of factors, namely, the socialization of a specific problem-solving behavior repertoire, socioeconomic conditions, and attitudes toward suicide. The implications for suicide prevention are briefly discussed.     

Suicide in Texas: a cohort analysis of trends in suicide rates, 1945-1980

Recent clusters of teenage suicides in Texas suburban communities have focused national attention on the rise in teenage suicidal behavior. This study sought to clarify the teenage suicide phenomenon by using a cohort method of data analysis. Beginning with suicide rates for white males aged 15-19 in 1945, suicide rates were calculated and plotted for each 5-year age cohort entering the late teenage years, when suicide risk factors dramatically increase. Our analysis of these cohort patterns confirmed the ever-rising risk factor associated with the ages of 15-19. This trend is consistent with many studies suggesting that teenage suicide is a function of socioeconomic and psychological factors operating across community and national boundaries. In addition, our study revealed that as white males 15-19 years of age in 1945 aged, their suicide rates also increased, confirming earlier findings that the suicide risk factor increases with age. In fact, Texas data for 1980 revealed that older persons, not teenagers, had the highest suicide rates-a finding that confirms other studies' results. Finally, Texas cohort patterns for suicide revealed the recent curvilinearity tendencies of older adult male suicide rates. By 1980 Texas data revealed a bimodal distribution of high suicide risk, with white males in their late 20s and ages 55 and over having the highest rates.     

Cue interactions in flavor preference learning: a configural analysis

Four experiments showed that the preference normally established to a neutral flavor cue that was paired with maltodextrin was attenuated when that cue was conditioned in compound with another flavor--overshadowing. Furthermore, two experiments showed that the preference for a neutral flavor conditioned as part of a compound was further attenuated if the other element in that compound was separately paired with the reinforcer--blocking. These results stand in contrast to a number of previous compound flavor preference conditioning experiments, which have not revealed reliable cue competition effects. These discrepant findings are discussed in terms of the effects of within-compound associations and a configural perspective on potentiation. Modeling of this configural perspective predicts that a compound of two separately trained cues will elicit a similar response to the individual cues themselves--absence of summation. Two experiments confirmed this prediction.     

Suicide in Japan: socioeconomic effects on its secular and seasonal trends

Changes in male and female suicide death rates for 33 years following the end of World War II in Japan were analyzed. The death rates for men and women decreased during periods of economic prosperity and then increased during the years preceding economic depression; that for men also increased after economic depression. When examined by profile analysis, the seasonal variation was slightly but significantly different in the four time periods (1950-1955, 1955-1967, 1967-1974, and 1974-1982) in both sexes except between the last two periods (p less than .05). We suggest that death by suicide and its seasonal variation in Japan were affected by changes in socioeconomic conditions.     

Psychiatric-psychosocial activities in West Germany: old and new responsibilities

Through the Federal German Government's incentives (1976-1985) brought about considerable experience with community based psychiatric services many desideratas and shortcomings stood the reformist efforts: above all, the needs of long term patients remained unmet. At the same time a necessary integration into communities' everyday life culture still is out of reach. The author stresses the biases of the natural-science-medical paradigm when confronted with the demands of social psychiatry. The author suggests some organizational measures to help community related services on their ways.     

Suicide and Homicide Rates in Canada and the United States

Suicide and homicide rates by age were analyzed for Canada and the United States, indicating that suicide is higher in Canada and that homicide is higher in the United States. Results indicated a positive association between homicide and suicide rates in the United States but these two rates of death were not significantly associated in Canada. Holinger (1987) had associated the relative size of the cohort to the rates of suicide and homicide in young people in the United States. The more current data in both countries did not support Holinger's results. Using the measure devised by Easterlin (1980) and Ahlburg and Schapiro (1984) –that is, the proportion of youths aged 15–24 relative to adults aged 25–64–the correlation between the size of the youth cohort and the suicide rate of youths aged 15–24 was negative. It is concluded that the two patterns in these two countries may be explained from a historical perspective.     

Examining the relationship between the Eysenck personality inventory and the sixteen personality factors questionnaire using predictive configural frequency analysis

A nonparametric analogue of canonical correlation analysis, called P-CFA, was used to determine how the Eysenck Personality Inventory is related to Cattell's Sixteen Personality Factors Questionnaire. The P-CFA methods used showed that Eysenck's personality dimensions of Extraversion and Neuroticism can be predicted quite well from suitably chosen primary scales in the Cattell questionnaire. The results were consistent with those obtained in another study using canonical analysis. Beyond that, P-CFA methods were used to predict Eysenckian trait-type categories from Cattell's primary scales. The results were weak and not predictable from canonical analysis, but showed potential analytic capabilities of P-CFA that are not available in canonical analysis.     

A cross-cultural comparison using the act frequency approach (AFA) in West Germany and the United States

Two studies were conducted in West Germany and the United States to investigate cultural similarities and differences on features of personality assessed through act frequency methods. The first study analysed the acts considered to be central and peripheral to each of six dispositional categories: dominance, quarrelsomeness, gregariousness, submissiveness, agreeableness, and aloofness. The results indicated moderate to strong similarity between the cultures in the prototypicality structure for all categories except agreeableness, which showed little concordance. The second study examined the manifested structure of act performance as assessed through retrospective act reports. The results indicated greater similarity of act endorsements between the two sexes within each culture than between cultures within each sex. Generally, the Americans showed higher base rates than the Germans. Furthermore, over all samples, females showed lower base rates than males. The correlations between relative base rates within each of the six different categories were moderately strong between the cultures (0.56, p < 0.001). Analyses of the relations between the prototypicality structure and the manifested structure yielded a complex picture that was highly dependent on dispositional category. For quarrelsome acts, for example, the more central acts were reported to be performed less frequently in both cultures, while other categories showed positive correlations between base rates and prototypicality. The limitations of these studies are described, and future research directions regarding expanding the range of act frequency methods and the number of nations in the search for personality functioning across cultures are suggested.     

Sexism in the pictures of children's readers: East and West Germany compared

School readers from East and West Germany were analyzed to test the hypothesis that children's literature in both socialist and capitalist societies shows stereotyped sex-role bias favoring males, but that socialist literature shows less bias. A content analysis of pictures was done for grades 1 through 4, using a sample of approximately 22% of West German readers and all four of the universally used East German readers. West German books increased in bias from the 1960s to the 1970s. Both countries showed patterns of increasing bias from grades 1 through 4. West Germany was significantly more biased than the East on nine variables. The hypothesis was thus confirmed.The author would like to express gratitude to Dr. Norbert Siara, Ms. Göldner, and the staff of the Institut für Bildungsmedian in Frankfurt (M) for their assistance and the use of their library, from which the BRD sample was taken.     

Normative versus ipsative configural frequency analysis in personality research—their use discussed in a reanalysis of data on situation-bound anxiety

Configural frequency analysis (CFA) tests whether certain individual patterns in different variables are observed more frequently in a sample than expected by chance. In normative CFA, these patterns are derived from the subject's specific position in relation to sample characteristics such as the median or the mean. In ipsative CFA, patterns are defined within an individual reference system, e.g. relative to the subject's median of different variable scores. Normative CFA examines dimensionality of scales and is comparable to factor analysis in this respect. Ipsative CFA rather yields information about location of scores in different variables, in a similar way to ANOVA or Friedman testing. However, both normative and ipsative CFA may supply information not obtainable by means of the aforementioned methods. This is illustrated in a reanalysis of data in four scales of an anxiety inventory. © 1997 John Wiley & Sons, Ltd.     

Some properties of configural learning: an investigation of the transverse-patterning problem.

Little is known about the conditions that encourage animals to learn to use configural associations to guide their behavior or the consequences of such learning for transfer. This study provided some information about these issues by examining how rats solve the transverse-patterning problem, which requires a configural solution (Spence, 1952). Animals had to concurrently solve 3 simultaneous visual discriminations, represented abstractly as A+ versus B-, B+ versus C-, and C+ versus A-. Experiment 1 indicated that rats use a configural solution even when the problems have an elemental solution, provided that the significance of 1 element (e.g., B) shared by 2 problems is ambiguous (e.g., A+/B-; and B+/C-). Experiments 2 and 3 suggested that, when stimulated to use a configural solution by solving the A+/B- and B+/C- problems, rats transfer the configural solution to problems that have no ambiguous elements.