Toward the Unification of Molecular and Molar Analyses

Three categories of behavior analysis may be called molecular, molar, and unified. Molecular analyses focus on how manual shaping segments moment-to-moment behaving into new, unified, hierarchically organized patterns. Manual shaping is largely atheoretical, qualitative, and practical. Molar analyses aggregate behaviors and then compute a numerical average for the aggregate. Typical molar analyses involve average rate of, or average time allocated to, the aggregated behaviors. Some molar analyses have no known relation to any behavior stream. Molar analyses are usually quantitative and often theoretical. Unified analyses combine automated shaping of moment-to-moment behaving and molar aggregates of the shaped patterns. Unified controlling relations suggest that molar controlling relations like matching confound shaping and strengthening effects of reinforcement. If a molecular analysis is about how reinforcement organizes individual behavior moment by moment, and a molar analysis is about how reinforcement encourages more or less of an activity aggregated over time, then a unified analysis handles both kinds of analyses. Only theories engendered by computer simulation appear to be able to unify all three categories of behavior analysis.     

Understanding the effects of task-specific practice in the brain: Insights from individual-differences analyses

We used functional magnetic resonance imaging to study practice effects in different mental imagery tasks. The study was designed to address three general questions: First, are the results of standard group-based analyses the same as those of a regression method in which brain activation changes over individual participants are used to predict task performance changes? With respect to the effects of practice, the answer was clear: Group-based analyses produced different results from regression-based individual-differences analyses. Second, are all brain areas that predict practice effects consistently activated across participants? Again, the answer was clear: Most areas that predicted the effects of practice on performance were not activated consistently over participants. Finally, does practice affect different areas in different ways for different people in different tasks? The answer was again clear: The areas that predicted changes in performance with practice varied for the different tasks, but this was more dramatically and clearly revealed by the individual-differences analyses. In short, individual-differences analyses provided insights into the relation between changes in brain activation and changes in accompanying performance, and these insights were not provided by standard group-based analyses.     

Modeling competence development in the presence of selection bias

A major challenge for representative longitudinal studies is panel attrition, because some respondents refuse to continue participating across all measurement waves. Depending on the nature of this selection process, statistical inferences based on the observed sample can be biased. Therefore, statistical analyses need to consider a missing-data mechanism. Because each missing-data model hinges on frequently untestable assumptions, sensitivity analyses are indispensable to gauging the robustness of statistical inferences. This article highlights contemporary approaches for applied researchers to acknowledge missing data in longitudinal, multilevel modeling and shows how sensitivity analyses can guide their interpretation. Using a representative sample of N = 13,417 German students, the development of mathematical competence across three years was examined by contrasting seven missing-data models, including listwise deletion, full-information maximum likelihood estimation, inverse probability weighting, multiple imputation, selection models, and pattern mixture models. These analyses identified strong selection effects related to various individual and context factors. Comparative analyses revealed that inverse probability weighting performed rather poorly in growth curve modeling. Moreover, school-specific effects should be acknowledged in missing-data models for educational data. Finally, we demonstrated how sensitivity analyses can be used to gauge the robustness of the identified effects.     

Influence of assessment setting on the results of functional analyses of problem behavior

Analogue functional analyses are widely used to identify the operant function of problem behavior in individuals with developmental disabilities. Because problem behavior often occurs across multiple settings (e.g., homes, schools, outpatient clinics), it is important to determine whether the results of functional analyses vary across settings. This brief review covers 3 recent studies that examined the influence of different settings on the results of functional analyses and identifies directions for future research.     

Mastering the Art of Chain Analysis in Dialectical Behavior Therapy

Behavioral chain analyses, which are common in behavioral and cognitive-behavioral treatments more broadly, are the primary assessment tool in Dialectical Behavior Therapy (DBT). As such, they are conducted in nearly every DBT session. Despite their importance in the treatment, very little has been written about the “how-tos” of chain analyses in DBT or how to improve therapist skill in this area. This article describes the rationale and proposed functions of chain analyses, provides details about the various components of the chain analysis, and includes common problems that arise in conducting chain analyses. A case example of a detailed chain analysis is provided.     

Further evaluation of the role of protective equipment in the functional analysis of self-injurious behavior

Using a procedure similar to the one described by Le and Smith (in press), we evaluated the effects of protective equipment during a functional analysis for 2 individuals who engaged in severe self-injurious behavior (SIB). Results of our analyses revealed that the use of protective equipment during functional analyses of SIB suppressed levels of responding such that a behavioral function could not be identified.     

More information from fewer questions: the factor structure and item properties of the original and brief fear of negative evaluation scale

Statistical methods designed for categorical data were used to perform confirmatory factor analyses and item response theory (IRT) analyses of the Fear of Negative Evaluation scale (FNE; D. Watson & R. Friend, 1969) and the Brief FNE (BFNE; M. R. Leary, 1983). Results suggested that a 2-factor model fit the data better for both the FNE and the BFNE, although the evidence was less strong for the FNE. The IRT analyses indicated that although both measures had items with good discrimination, the FNE items discriminated only at lower levels of the underlying construct, whereas the BFNE items discriminated across a wider range. Convergent validity analyses indicated that the straightforwardly-worded items on each scale had significantly stronger relationships with theoretically related measures than did the reverse-worded items. On the basis of all analyses, usage of the straightforwardly-worded BFNE factor is recommended for the assessment of fear of negative evaluation.     

Superiority of form% over Lambda for research on the Rorschach Comprehensive System

Lambda is an important variable in the Rorschach Comprehensive System. However, because of the way it is calculated it has properties that can produce problems for parametric statistical analyses. We illustrate these difficulties and encourage the use of Form% (i.e., pure form responses/total responses) instead of Lambda in research. Form% is easy to calculate, and it is conceptually and mathematically comparable to Lambda. Because it is much more normally distributed, Form% is suitable to use in parametric analyses (e.g., t tests, analyses of variance, correlations, factor analyses, multiple regressions).     

Cross-lagged panel analysis of the relation between attraction and perceived similarity

Cross-lagged panel analyses of the relation between attraction and perceived similarity to Richard Nixon and Gerald Ford were reported. The analyses were based on a panel of U.S. adults for 1972–1974–1976. The cross-lagged analysis involving Nixon was supportive of the causal flow being predominantly from attraction to perceived similarity. This conclusion was sustained in multivariate analysis. For ford, the cross-lagged correlations between attraction and perceived similarity were not significantly different. However, multivariate analyses suggested that the effect of attraction to Ford on perceived similarity to him remained significant even when numerous control variables were used. In contrast, the effect of perceived similarity to Ford on attraction to him was reduced to nonsignificance when controls were entered in regression analyses.     

Detection of deception on the Schedule for Nonadaptive and Adaptive Personality: validation of the validity scales

This study used a simulation design to investigate the validity scales of the Schedule for Nonadaptive and Adaptive Personality (SNAP). Undergraduates (N=192) were randomly assigned to two positive distortion (PD) groups, two negative distortion (ND) groups, and a control group. Controls responded normally, whereas the deception groups responded according to assigned characters. Preliminary analyses indicated no significant differences within distortion valence; thus, the groups were collapsed into single PD (n=76), ND (n=79), and control groups (n=37). Mean-level analyses revealed that, consistent with previous studies, ND profiles are easier to detect than PD profiles. Cutoff scores were suggested, and the classification accuracy of these scores converged with the results of several discriminant function analyses to indicate that Rare Virtues and Deviance predict group membership at least as well as MMPI-2 validity scales. Structural analyses revealed that two moderately correlated factors-positive distortion and negative distortion-underlie scores on these validity scales.     

The stability of the factorial pattern of aircrew classification tests in four analyses

This study consists of four factor analyses of the Army Air Forces Aircrew Classification Batteries. The first was an analysis of the 1945 wartime battery, while the other three were analyses of the 1947 postwar battery, consisting of essentially the same variables, but using different samples. Eleven factors were found which had been identified and reported in previous analyses. An additional factor, possibly an artifact, was identified as an age-education doublet. The only factor which differed significantly in the analyses was pilot or flying interest. These factor analyses show that the factorial content of the tests remains quite similar in both wartime and postwar populations.The data reported in this study were collected as part of the United States Air Force Human Resources Research and Development Program and described in Research Bulletin 52-16. The opinions or conclusions contained in this report are those of the authors. They are not to be construed as reflecting the view or indorsement of the Department of the Air Force.     

The importance of importance in the physical self: support for the theoretically appealing but empirically elusive model of James

This study tested James's theoretical assumption that the importance people attribute to different physical self-domains, in combination with perceived competence in those domains, influences higher order self-concepts. Data from four large samples (total N=1,831) from Sweden, Great Britain, Portugal, and Turkey were analyzed. A new version of an instrument, the Physical Self-Perception Profile-Revised (PSPP-R), was used to measure perceived competence and importance of physical self-domains, along with global self-esteem. Competence-importance interactions contributed significantly to higher order self-concepts in 3 of 4 PSPP subdomains. The same result was found in the structural equation modeling analyses and latent interaction analyses. Idiographic analyses showed that domains rated as intraindividually more important explained more global self-esteem variance compared with less important domains. In general, support for James's hypothesis was found across the different analyses. Differences between the methodology and results in the present study compared with previous studies are discussed.     

The Impact of Having Children on the Lives of Women: The Effects of Children Questionnaire

The current study uses a newly developed questionnaire, the Effects of Children Questionnaire, to examine the impact of having children on women's lives. Participants were lower- and lower-middle-class women. The questionnaire assessed women's perceptions of their own change and other women's experiences of change as a result of having children in a number of life domains. Exploratory analyses, repeated-measures analyses, factor analyses, and regression analyses were used to test hypotheses. Results suggested that women do compare themselves with other women, that there are two primary factors underlying perceptions of change, and that there are significant changes from having children in various life domains. Results are discussed in terms of the costs and benefits of having children.     

Evaluating the Psychometric and Measurement Characteristics of a Measure of Sexual Orientation Harassment

We use classical test theory (CTT) and item response theory (IRT) methodologies to examine the psychometric and measurement properties of an instrument designed to assess sexual orientation harassment among military personnel (N?=?71,989). CTT analyses indicated that items were unidimensional and exhibited adequate levels of reliability. IRT analyses demonstrated that the items functioned similarly and exhibited appropriate levels of item discrimination. However, the analyses also suggested that the sensitivity of the items may be limited. Differential test functioning analyses provided evidence of the measurement equivalence of the instrument across male and female respondents. The findings provide support for the psychometric properties and measurement equivalence of the instrument for measuring sexual orientation harassment among male and female military personnel. We discuss the implications of our findings for future research on sexual orientation harassment in the workplace.     

Typological and factor analysis of the perceived stress measure by using the PSS scale

The aim of this research was to explore the structure of the Perceived Stress Scale (PSS) by using data analysis in order to question its theoretical and methodological bases in a critical and positive way. Unidimensional analyses and two-dimensional analyses of the scale were carried out on a sample of 600 individuals. The typological analysis of the data subsequently made it possible to cross these two analyses and revealed that the individuals who have average stress (45% of the sample) according to the traditional measure of the PSS, had very diversified profiles according to the two-dimensional analysis. Some of these profiles are not in accordance with the basic model of a discrepancy between perceived control and perceived distress. In light of the results obtained, this precise typology could be useful in the field for carrying out audits and surveys while offering new elements of observation likely to improve psychosocial interventions.     

Evaluating the boundaries of analytic efficiency and control: A consecutive controlled case series of 26 functional analyses

We conducted this study to determine if the efficiency of the functional analysis could be improved without detrimental effects on control. In Experiment 1, we reanalyzed functional analyses conducted for the problem behavior of 18 children. We analyzed rates of problem behavior during the first 5 min and first 3 min of the original 10-min sessions and evaluated if changes in the level of control over problem behavior by the programmed contingency were evident from the analyses of shorter session duration. In Experiment 2, we conducted 8 consecutive functional analyses with 3-min sessions to further evaluate the utility of brief session durations. We found that control over problem behavior was demonstrated when conducting functional analyses with sessions as brief as 3 min.     

An Extended Lewis/Stalnaker Semantics and the New Problem of Counterpossibles

Abstract

Closest-possible-world analyses of counterfactuals suffer from what has been called the ‘problem of counterpossibles’: some counterfactuals with metaphysically impossible antecedents seem plainly false, but the proposed analyses imply that they are all (vacuously) true. One alleged solution to this problem is the addition of impossible worlds. In this paper, I argue that the closest possible or impossible world analyses that have recently been suggested suffer from the ‘new problem of counterpossibles’: the proposed analyses imply that some plainly true counterpossibles (viz., ‘counterlogicals’) are false. After motivating and presenting the ‘new problem’, I give reasons to think that the most plausible objection to my argument is not compelling.     

Incremental Validity of the MMPI-2 Content Scales in the Assessment of Personality and Psychopathology by Self-Report

The incremental contribution of the MMPI-2 Content Scales to the prediction of scores on self-report measures of personality and psychopathology was investigated. The MMPI-2, Beck Depression Inventory, State-Trait Personality Inventory, anti Symptom Checklist-90-Revised were administered to 596 subjects: 339 women anti 257 men. Zero-order correlational analyses indicated that both clinical and Content Scales correlated with each of the criterion measures. In all but one case, an MMPI-2 Content Scale was found to have the highest correlation with the extratest variables. Combined hierarchical, stepwise regression analyses demonstrated that the MMPI-2 Content Scales possess incremental validity vis-a-vis the clinical scales for both genders in relation to all of the criterion measures. Additional analyses indicated that the MMPI-2 clinical scales also possess incremental validity vis-a-vis the Content Scales. However, the incremental contribution of the clinical scales was of lesser magnitude. Implications of these findings for test interpretation and future research with the MMPI-2 are discussed.     

Further analysis of idiosyncratic antecedent influences during the assessment and treatment of problem behavior

Recent research findings suggest that idiosyncratic variables can influence the outcomes of functional analyses (E. G. Carr, Yarbrough, & Langdon, 1997). In the present study, we examined idiosyncratic environment-behavior relations more precisely after identifying stimuli (i.e., a particular toy and social interaction) associated with increased levels of problem behavior. Two children, an 8-year-old boy with moderate mental retardation and a 5-year-old boy with no developmental delays, participated. Results of functional analyses for both children indicated that idiosyncratic antecedent stimuli set the occasion for occurrences of problem behavior (hand biting or hand flapping) and that problem behavior persisted in the absence of social contingencies. Further analyses were conducted to identify specific components of the stimuli that occasioned problem behavior. Treatments based on results of the analyses successfully reduced self-injury and hand flapping.