Integrating qualitative and quantitative methods in the study of developmental psychopathology in context

Qualitative methods are well suited to advance the understanding of the role of social context in the development of maladaptation and psychopathology. However, they have not been widely used by developmental psychopathologists, despite being utilized in related fields, particularly in the sociological study of crime and delinquency. This article assesses the potential for the increased use of qualitative methods in developmental psychopathology and addresses the challenges involved in integrating them with quantitative research strategies. The interplay of qualitative and quantitative methods in the study of juvenile delinquency is reviewed for relevant lessons about both the utility and the difficulties of integrating the two types of methods. The problem of assessing continuities and discontinuities over the life course in patterns of antisocial behavior is discussed as an example of the challenge of integrating methodological paradigms. Schools of thought about qualitative methods and their relationship to quantitative research paradigms are identified and compared. Examples are discussed of narrative life history interviewing and qualitative observational techniques and of recent research endeavors integrating these qualitative techniques with quantitative data analyses.     

Knowledge-based information acquisition: Norms and the functions of consensus information.

Mill's (1872/1973) method of difference prescribes that the lay scientist should use consensus information as a control condition for the person and distinctiveness information as a control condition for the stimulus when analyzing their causal effects on the occurrence of the target event. However, in studies of information acquisition, subjects have shown a consistent preference for distinctiveness information when answering causal questions about the person, and for consensus information when answering causal questions about the stimulus. To explain this discrepancy, we distinguish between the evaluative, contrastive, and corroborative functions of consensus and distinctiveness information. In addition, we suggest that Ss seek consensus information only if it is relevant to the question posed to them, and if they cannot supply it from their own presupposed knowledge of behavioral norms. We report 4 information acquisition experiments that provide support for our analysis. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

A new SAS procedure for latent transition analysis: Transitions in dating and sexual risk behavior.

The set of statistical methods available to developmentalists is continually being expanded, allowing for questions about change over time to be addressed in new, informative ways. Indeed, new developments in methods to model change over time create the possibility for new research questions to be posed. Latent transition analysis, a longitudinal extension of latent class analysis, is a method that can be used to model development in discrete latent variables, for example, stage processes, over 2 or more times. The current article illustrates this approach using a new SAS procedure, PROC LTA, to model change over time in adolescent and young adult dating and sexual risk behavior. Gender differences are examined, and substance use behaviors are included as predictors of initial status in dating and sexual risk behavior and transitions over time. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Using covariance structure analysis to detect correlates and predictors of individual change over time.

Recently, methodologists have shown how 2 disparate conceptual arenas (individual growth modeling and covariance structure analysis) can be integrated. The integration brings the flexibility of covariance analysis to bear on the investigation of systematic interindividual differences in change and provides another powerful data-analytic tool for answering questions about the relationship between individual true change and potential predictors of that change. The individual growth modeling framework uses a pair of hierarchical statistical models to represent (1) within-person true status as a function of time and (2) between-person differences in true change as a function of predictors. This article explains how these models can be reformatted to correspond, respectively, to the measurement and structural components of the general LISREL model with mean structures and illustrates, by means of worked example, how the new method can be applied to a sample of longitudinal panel data. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Functional equivalence of native light-sensitive channels in the Drosophila trp301 mutant and TRPL cation channels expressed in a stably transfected Drosophila cell line

As we have pointed out in this article, a health care study should have a well-defined intent that is matched to the study type, population of interest, and outcome. Care must be taken to collect samples in a meaningful way, so that results can be generalized to larger populations. Outcomes must be selected carefully to ensure that they will be sensitive to the types of care being considered, and only a few main outcomes should be selected so as to preserve the level of statistical significance of the research results. Sample sizes should be sufficient to detect an effect of reasonable size, after accounting for attrition in longitudinal studies and rates of occurrence with dichotomous outcomes. If the study purpose is to compare multiple institutions or health care providers, statistical adjustments for case mix will generally be required. Outcome research is an expanding area of development for rheumatology care and for medical care in general. It offers the promise of the use of administrative data bases to answer questions that are important both to arthritis researchers and to consumers of rheumatology care. As with all areas of clinical research, we must maintain appropriate levels of statistical rigor to protect the integrity of the results. Inadequate attention to the design and analysis of data can compromise research results before a study even gets started, and health care research studies have as many potential statistical pitfalls as other types of clinical research.     

Treatment adherence process research in family therapy: A rationale and some practical guidelines.

Suggests that treatment adherence research has recently established a permanent niche in psychotherapy outcome research as a means for testing whether interventions have been implemented as intended. Advanced-level adherence methods allow investigators to move beyond treatment integrity questions regarding model fidelity and toward treatment process questions regarding therapeutic technique and intervention dosage. Though still in the developmental stage, treatment adherence process procedures appear to be congruent with the methods, goals, and theoretical framework that characterize contemporary psychotherapy process research. Because adherence process research is virtually absent from the family therapy research literature, practical guidelines are presented for conducting observational-based adherence research on family therapy models, using the example of Multidimensional Family Therapy. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Sharing and archiving data is fundamental to scientific progress

The persuasive argument for sharing and archiving data is that scientists must build on the shoulders of other scientists, that science is cumulative and replicative, and that science must be open. Sharing and archiving data are just a small part of all that is implied by that principle, but it is inextricably part of our obligation as social and behavioral scientists to conduct our work in the open. Only then can others see and understand what we did, and only then will someone have a chance to confirm that we were right, or to prove that we were wrong. Moreover, data archiving and sharing create opportunities for addressing questions not envisioned by the initial investigators. Indeed, by supplementing or pooling archived data, new and original data sets can be created that permit analyses well beyond the purpose or scope of the initial data collection. Of course, the creativity and labor of initial investigators should be protected, and the privacy of research participants must be safeguarded. These protections and safeguards, however, are not antithetical to data archiving and sharing. They simply raise questions about when and how data archiving and sharing should take place. In our view, the benefits of properly archived and shared data for outweigh the potential for harm. As indicated above, this is a perspective shared by several funding agencies of behavioral and social research, including the NIA.     

Non-linear optimization of biochemical pathways: applications to metabolic engineering and parameter estimation

MOTIVATION: The simulation of biochemical kinetic systems is a powerful approach that can be used for: (i) checking the consistency of a postulated model with a set of experimental measurements, (ii) answering 'what if?' questions and (iii) exploring possible behaviours of a model. Here we describe a generic approach to combine numerical optimization methods with biochemical kinetic simulations, which is suitable for use in the rational design of improved metabolic pathways with industrial significance (metabolic engineering) and for solving the inverse problem of metabolic pathways, i.e. the estimation of parameters from measured variables. RESULTS: We discuss the suitability of various optimization methods, focusing especially on their ability or otherwise to find global optima. We recommend that a suite of diverse optimization methods should be available in simulation software as no single one performs best for all problems. We describe how we have implemented such a simulation-optimization strategy in the biochemical kinetics simulator Gepasi and present examples of its application. AVAILABILITY: The new version of Gepasi (3.20), incorporating the methodology described here, is available on the Internet at http://gepasi.dbs.aber.ac.uk/softw/Gepasi. html. CONTACT: prm@aber.ac.uk     

Introduction to the special series.

Problems of alcohol and drug abuse among children and adolescents are drawing unprecedented attention from researchers, policymakers, and the lay public. Clearly warranted, that attention focuses on vexing questions about the nature and prevention of substance abuse among youth. The most common questions include these: Are substance rates among youth on the rise? Why do young people use alcohol and drugs? How can we prevent substance abuse among youth? What works in the fight against alcohol and drug abuse? Do we need special programs to prevent substance abuse among youths from different backgrounds? Where should we put our resources to exert a maximum impact on the demand for drugs and alcohol among youth? By answering these and other questions, the 10 articles in this special series lay a foundation for future practice, policy, and research on alcohol and drug abuse among youth. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Proxy informant reliability and bias in epidemiological research: analysis of a screening questionnaire for mental disorders

OBJECTIVES: To evaluate the reliability, magnitude and direction of the resulting bias in the application of a screening instrument for mental disorders by considering proxy informants in comparison to primary informants. METHODS: Data are taken from a general morbidity community-based survey carried out in 520 randomly selected households of an industrial area of the Metropolitan Region of Salvador, the capital of Bahia state, Brazil. During the pilot phase, the first 70 families of the total sample were asked to participate in the evaluation of research instruments. The Questionnaire of Adult Psychiatric Morbidity, QAPM, consists of 44 questions about psychiatric symptoms widely used in Brazil. The husbands and wives of the selected families answered QAPM questions regarding themselves and their respective partners. One family refused to participate. The Kappa index was estimated for each QAPM question. To assess the magnitude and direction of bias, the proportional variation of prevalence was estimated from proxy and primary respondents. Each informant was analyzed as a primary informant when answering about his/her own symptoms and as a proxy informant when answering those about his/her partner. RESULTS: Proxy informants as compared to primary informants show weak reliability, as measured by the Kappa Index, particularly when husbands reported on their wives' symptoms. An overall underestimation of prevalence estimates was found, which reveals the potential negative bias with the use of proxy informants for psychological symptoms. No bias was found for only two questions (lack of appetite and globus hystericus) when women were taken as proxy informants for their husbands. In addition, departures of proxy informants from primary informant-based estimates were greater among men than to women. CONCLUSIONS: Proxy informants underestimate the occurrence of psychological symptoms in this community-based study. When the feasibility of a research project, based on the QAPM depends on the use of proxies, wives may be recommended as better informants than their husbands.     

Explaining the use of statistical methods.

Comments on the article by L. Wilkinson & the Task Force on Statistical Inference (TFSI) (see record 1999-03403-008) which was meant to initiate discussion in the field about changes in current practices of data analysis and reporting. The report was concerned with the use of statistical methods only and is not meant as an assessment of research methods in general. In this article, B. D. Haig criticizes the Wilkinson report for not making clear just when significance testing is appropriate and when it is not. Also, Haig notes that the TFSI should say something about the place of Bayesian statistical methods in psychological research, and should discuss the hypothetico-deductive method. Further criticism centers around the TFSI's failure to discuss computer-intensive resampling methods. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Generalizing from segments to sessions: Should it be done?

This article addresses two methodological questions that are crucial for research on the natural language in the counseling process: (a) What fraction, or segment, of an interview best represents the entire interview? (b) Do different starting points yield different results? Using a variety of data sets and process measures, we tested segment generalizability in different formats of counseling (individual and family) and with different coding systems (of client and counselor behavior). Results from three studies suggested that, whereas starting points made little difference, generalizing from any size segment to a whole session should not be done when interviews are examined individually. On the other hand, when interviews are aggregated, even fairly small segments can be sampled reliably. In making their own sampling decisions, investigators should consider theoretical and clinical significance and conduct subsample generalizability tests. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Correct and incorrect interpretations of correlations between risk perceptions and risk behaviors.

Correlations between risk perceptions and risk behaviors are used by investigators to answer 2 important and easily confused questions: Are individuals' perceptions of their personal risk accurate, correctly reflecting their precautions and their risk-increasing behaviors, and does recognition of high personal risk cause people to adopt precautions to reduce that risk? Researchers who use survey data to investigate these questions often look at the wrong correlations to get their answers. Furthermore, as members of a population adopt precautions and change their risk status, correlations between perceived risk and risk behavior in this population also change. A mathematical model of precaution adoption—allowing a bidirectional relationship between perception and behavior—is used to illustrate the different correlations between risk perception and risk behavior that can be examined and the changes in correlations that can occur with the passage of time. Recommendations are provided concerning the correlations most appropriate for answering each of the 2 preceding questions. Which correlation is appropriate to answer the 2nd question varies depending on whether a study is begun before people have taken precautions or after ample time to take precautions has already passed. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Unpriming: The Deactivation of Thoughts Through Expression.

Unpriming is a decrease in the influence of primed knowledge following a behavior expressing that knowledge. The authors investigated strategies for unpriming the knowledge of an answer that is activated when people are asked to consider a simple question. Experiment 1 found that prior correct answering eliminated the bias people normally show toward correct responding when asked to answer yes-no questions randomly. Experiment 2 revealed that prior answering intended to be random did not unprime knowledge on subsequent attempts to answer randomly. Experiment 3 found that exposure to the correct answer did not influence the knowledge bias but that exposure to the incorrect answer increased bias. Experiment 4 revealed that merely expressing the answer for oneself was sufficient to unprime knowledge. Experiment 5 found that each item of activated knowledge needs to be unprimed specifically, in that correctly answering 1 question does not reduce the knowledge bias in randomly answering another. (PsycINFO Database Record (c) 2011 APA, all rights reserved)     

Issues in the study of stress and coping in rehabilitation settings.

The purpose of this article is to assist rehabilitation researchers in making decisions about the design and conduct of stress and coping research. The authors offer a selective review of the stress and coping literatures, with a focus on rehabilitation-specific work. The authors first address stress, focusing on different definitions and on how it relates to adaptation, and then consider coping, focusing on the levels at which coping operates, its relation to features of the situation, and its influence on adjustment. The authors urge researchers to collect additional data, including assessing changes over time, and to examine multiple aspects of stressful experiences to better capture the complexity of stress and coping processes. Researchers should specify the nature of the coping construct used, use assessment methods clearly linked to the facet of the coping construct being examined, and investigate specific mechanisms by which coping influences rehabilitation outcomes. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

The importance of distinguishing between constructs and methods when comparing predictors in personnel selection research and practice.

The authors highlight the importance and discuss the criticality of distinguishing between constructs and methods when comparing predictors. They note that comparisons of constructs and methods in comparative evaluations of predictors result in outcomes that are theoretically to conceptually uninterpretable and thus potentially misleading. The theoretical and practical implications of the distinction between predictor constructs and predictor methods are discussed, with three important streams of personnel psychology research being used to frame this discussion. Researchers, editors, reviewers, educators, and consumers of research are urged to carefully consider the extent to which the construct-method distinction is made and maintained in their own research and that of others, especially when predictors are being compared. It is hoped that this discussion will reorient researchers and practitioners toward a more construct-oriented approach that is aligned with a scientific emphasis in personnel selection research and practice. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

A daily process approach to coping: Linking theory, research, and practice.

For decades, coping researchers have used between-person designs to address inherently within-person questions derived from theory and clinical practice. The authors describe recent developments in the use of within-person, process-oriented methods that examine individuals intensively over time. Ongoing studies of stress and alcohol consumption, the effects of depression on adaptational processes, and the temporal dynamics of coping with chronic pain demonstrate that by tracking rapidly fluctuating processes such as mood and coping close to their real-time occurrence, daily process designs offer unique insights into conceptually and clinically challenging questions. Such designs also provide new opportunities to examine the purported mechanisms of therapeutic interventions. Despite its demands on participants and investigators, daily process research offers fresh opportunities to link psychological theory, research, and practice. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

When effect sizes disagree: The case of r and d.

The increased use of effect sizes in single studies and meta-analyses raises new questions about statistical inference. Choice of an effect-size index can have a substantial impact on the interpretation of findings. The authors demonstrate the issue by focusing on two popular effect-size measures, the correlation coefficient and the standardized mean difference (e.g., Cohen's d or Hedges's g), both of which can be used when one variable is dichotomous and the other is quantitative. Although the indices are often practically interchangeable, differences in sensitivity to the base rate or variance of the dichotomous variable can alter conclusions about the magnitude of an effect depending on which statistic is used. Because neither statistic is universally superior, researchers should explicitly consider the importance of base rates to formulate correct inferences and justify the selection of a primary effect-size statistic. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

On the process relationship between person and situation judgments in attribution.

Ss were timed in 3 experiments as they answered 2 consecutive questions about stimulus sentences. The measure of interest was the extent to which answering the 1st question speeded-up answering the 2nd. The order of questions about person and situation influences on behavior was manipulated. Results indicated that the person judgment facilitated the situation judgment significantly more than the situation judgment facilitated the person judgment. The pattern of facilitation was reversed when Ss answered questions about themselves. Results are consistent with a model of concurrent resource allocation to person and situation information in conditions where the primary judgment task involves salient information. However, they are not consistent with a unidimensional or automatic view of person and situation judgments. (PsycINFO Database Record (c) 2010 APA, all rights reserved)