Typological personality research by configural frequency analysis

After discussing diverse concepts of types or syndromes the definition of types, according to configural frequency analysis (CFA), is given. A type, in this theory, is assumed to be a configuration of categories belonging to different attributes. This configuration should occur with a probability which is higher than the conditional probability for given univariate marginal frequencies. The conditional probability is computed under the null hypothesis of independence of the attributes. Types are identified by simultaneous conditional binomial tests and interpreted by means of an interaction structure analysis in a multivariate contingency table. Two further versions of CFA are explained. By prediction CFA it is possible to predict certain configurations by other ones while by c-sample CFA it is possible to discriminate between populations by means of configurations. The procedures are illustrated by an example concerning the responses of patients to lumbar punctures.     

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.     

Personality patterns of physicians in person-oriented and technique-oriented specialties

This study investigated differences in personality patterns between person-oriented and technique-oriented physicians. It tested an integrative framework by converting the scores on the Personality Research Form (PRF) to the Big-Five factors and built a predictive model of group membership in clinical specialty area. PRF scores from 238 physicians (153 person-oriented and 85 technique-oriented) were used for this retrospective study. Significant personality differences between group means existed for seven of the traits on the PRF and two Big-Five factors. Results of a stepwise discriminant analysis indicated that two PRF traits and one Big-Five factor had the greatest ability to discriminate between person-oriented and technique-oriented physicians. Findings of this study provide support for establishing personality profiles of physicians interested in person-oriented versus technique-oriented specialties. Examining personality differences among male and female physicians is discussed as an area for future research.     

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.     

Predictors of calcium intake patterns: a longitudinal analysis.

OBJECTIVE: The study was guided by the precaution adoption process model; the author examined factors associated with (a) stage of change with respect to calcium intake at 4 time points and (b) calcium intake patterns across time. DESIGN: Data were collected by mailed questionnaire at baseline and at 3 follow-up assessments over 1 year. MAIN OUTCOME MEASURES: The primary outcome measures were calcium intake, stage of change with respect to calcium intake, and pattern of calcium intake across follow-up. Three patterns were identified: successful maintenance (adequate calcium intake at all 3 follow-ups), vacillation (adequate calcium consumption at 1 or 2 follow-ups), and inertia (inadequate calcium consumption at all 3 follow-ups). RESULTS: Five hundred six women completed baseline questionnaires, and 346 completed 3 follow-up assessments. Even after baseline stage of change was controlled for, longitudinal analyses revealed 3 variables that predicted different patterns of behavior across time. Isolated instances of adequate calcium intake were predicted by higher levels of knowledge and perceived benefits, whereas long-term maintenance was predicted by lower levels of perceived difficulty. CONCLUSION: These findings provide support for a central premise of the model, that different factors are important at different points in the behavior change process.     

Temporal integration in face perception: evidence of configural processing of temporally separated face parts

Temporal integration is the process by which temporally separated visual components are combined into a unified representation. Although this process has been studied in object recognition, little is known about temporal integration in face perception and recognition. In the present study, the authors investigated the characteristics and time boundaries of facial temporal integration. Whole faces of nonfamous and famous people were segmented horizontally into 3 parts and presented in sequence, with varying interval lengths between parts. Inversion and misalignment effects were found at short intervals (0-200 ms). Moreover, their magnitude was comparable to those found with whole-face presentations. These effects were eliminated, or substantially reduced, when the delay interval was 700 ms. Order of parts presentation did not influence the pattern of inversion effects obtained within each temporal delay condition. These results demonstrate that temporal integration of faces occurs in a temporary and limited visual buffer. Moreover, they indicate that only integrated faces can undergo configural processing.     

Ideal mate personality concepts and compatibility in close relationships: a longitudinal analysis

How 2 personalities may be best combined in a couple has often been answered in terms of similarity in partner's personality characteristics. However, results have been inconsistent. The present study proposed that relationship outcomes should depend more on the similarity between individuals' ideal mate personality concepts (IMPCs) and their partner's personality as both perceived by the self and self-reported by the partner. Study 1 introduces a new Q-sort to assess IMPCs and provides evidence for the interindividual variability and the short-term consistency of IMPC. By following nonmarried couples over a 9-month period, Study 2 replicated findings from Study 1 and demonstrated that, overall, the current concept of congruence predicts relationship outcomes better than both personality similarity and the partner's individual personality traits.     

Transfer of configural learning between the components of a preexposed stimulus compound: implications for elemental and configural models of learning

In 2 experiments, rats received preexposure to 2 compound contexts: AB and CD for the congruent group and AC and BD for the incongruent group. Subsequently, all rats received a configural discrimination in which separate placement in contexts A or B indicated that presentations of stimulus X would be followed by food and presentations of Y would not, and separate placement in contexts C and D indicated that Y would be followed by food and X would not. In both experiments, rats in the congruent group acquired the conditional discrimination more rapidly than those in the incongruent group. These results are inconsistent with conventional associative accounts of either stimulus preexposure effects or configural learning and instead provide support for a connectionist account.     

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.     

Reciprocal relations between adolescent substance use and delinquency: a longitudinal latent variable analysis

Reciprocal relations between self-reported substance use and delinquency were examined through the analysis of 4-wave panel data collected from 1,218 high school students. A longitudinal, latent-variable framework was used to investigate interrelationships between changing patterns of generalized involvement in these 2 problem behaviors, while simultaneously accounting for specificity in drug use (e.g., marijuana use) and delinquency (e.g., theft). Analyses revealed that a model of bidirectional effects between polysubstance use and general delinquency was plausible for boys but not for girls. For boys, the effect of delinquency on substance use was small but consistent over time, whereas the effect of substance use on delinquency was larger but restricted to the earlier waves of the study. Implications for the question of whether or not substance use and delinquency have causal connections are discussed.     

Bayesian latent variable models for the analysis of experimental psychology data

In this paper, we address the use of Bayesian factor analysis and structural equation models to draw inferences from experimental psychology data. While such application is non-standard, the models are generally useful for the unified analysis of multivariate data that stem from, e.g., subjects’ responses to multiple experimental stimuli. We first review the models and the parameter identification issues inherent in the models. We then provide details on model estimation via JAGS and on Bayes factor estimation. Finally, we use the models to re-analyze experimental data on risky choice, comparing the approach to simpler, alternative methods.     

Covariance structure analysis in experimental research: Comparing two word translation models

Covariance structure analysis is a statistical technique in which a theoretical model, or a covariance structure, is constructed, and the covariances predicted by the theoretical model are compared with those of the observed data. The adequacy of the model in reproducing the sample covariances is reflected by estimates of the parameters of the model and measures indicating the goodness of fit. Covariance structure analysis is frequently used for analyzing data obtained in nonexperimental or quasiexperimental research, but is seldom employed in experimental research. In this paper, the applicability of this technique in experimental research is discussed and illustrated by covariance structure analysis studies in which two models for word translation—the symmetrical model and the asymmetrical model—are described, refined, and contrasted.     

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.     

Positive illusions in marital relationships: a 13-year longitudinal study

This study examined the long-term consequences of idealization in marriage, using both daily diary and questionnaire data collected from a sample of 168 newlywed couples who participated in a 4-wave, 13-year longitudinal study of marriage. Idealization was operationalized as the tendency for people to perceive their partner as more agreeable than would be expected based on their reports of their partner's agreeable and disagreeable behaviors. Spouses who idealized one another were more in love with each other as newlyweds. Longitudinal analyses suggested that spouses were less likely to suffer declines in love when they idealized one another as newlyweds. Newlywed levels of idealization did not predict divorce.     

Cross-contextual stability of bullying victimization: a person-oriented analysis of cyber and traditional bullying experiences among adolescents

Using a person-oriented approach the study examined whether bullying victimization at school continued into cyberspace victimization in a large sample of high school students in Lithuania (N = 1667, 58% girls), age 15-19 (M = 17.29, SD = 0.95). Three forms of traditional bullying (verbal, physical and relational) and seven forms of cyberbullying victimization through cell phones and computers were included in the analysis. The findings revealed that 35% of traditional bullying victims were also bullied in cyberspace. In particular, adolescents who experienced predominantly verbal and relational bullying at school, showed a higher risk of victimization in cyberspace a year later, while this was not observed for predominantly physical forms of traditional bullying. The findings point to the importance of a cross-contextual perspective in studies on stability of bullying victimization.     

Temporal patterns of responding in small fixed-ratio schedules

Pigeons were exposed to an ascending series of small fixed-ratio schedules from fixed-ratio 1 to 7. Two of those pigeons were later placed on a fixed-ratio 30 schedule. The two primary dependent variables were the postreinforcement pause and the interresponse time. Changes in these variables under small fixed ratios were sometimes opposite to changes reported with large fixed ratios. For example, postreinforcement pauses decreased in length as the fixed-ratio requirement increased from fixed-ratio 1 to fixed-ratio 3. Also, the interresponse times early in the small fixed-ratio schedule were shorter than those immediately preceding reinforcement. These findings question the role of interresponse-time reinforcement in determining temporal patterns of responding under small fixed-ratio schedules. They also suggest that there may be a limited region in which the independent variable, fixed-ratio size, does not operate as previously described.     

Socioemotional behavior and satisfaction in marital relationships: a longitudinal study.

The interplay between 3 types of socioemotional behavior (affection, sexual interest, and negativity) and marital satisfaction was studied using data from newly married couples followed over 2 years. Affection and negativity (but not sexual interest) were consistently associated cross-sectionally with marital satisfaction. Longitudinal analyses revealed a gender-differentiated pattern suggesting a more complex relationship between satisfaction and marital behavior than previously shown. Negativity, regardless of whether it was expressed by the husband or the wife, was associated with declines in wives' (but not husbands') satisfaction. Wives of husbands who were relatively negative early in marriage became more negative themselves. Wives who were relatively less satisfied early in marriage (but not husbands) were married to spouses who became more negative with time.     

A longitudinal latent variable analysis of reciprocal relations between depressive symptoms and delinquency during adolescence

In this longitudinal study, reciprocal relations between depressive symptoms and delinquent behavior were examined for a sample of 1,218 male and female adolescents (mean age, 15.51 years at Time 1). Associations were examined within a latent variable approach, controlling for indicator-specific tendencies, students' age and parental education, time-specific 3rd-variable influences, level of prior problem behavior, and measurement error. Findings thus provided relatively unbiased estimates of existing plausible causal relations. Analyses revealed a relatively small unidirectional effect of delinquency on depression for boys (at 1 of 3 time points), and bidirectional effects of comparable size for girls. The circular process for the girls was explained drawing on gender socialization theory and theories of offending behavior. Implications for preventive interventions are also discussed.