Journal for Person-Oriented Research最新文献

{"title":"Configural Analysis in Component Space.","authors":"Alexander von Eye,&nbsp;Wolfgang Wiedermann","doi":"10.17505/jpor.2022.24217","DOIUrl":"https://doi.org/10.17505/jpor.2022.24217","url":null,"abstract":"<p><p>Unless very large samples are available, the number of variables and variable categories that can be simultaneously used in categorical data analysis is small when models are estimated. In this article, an approach is proposed that can help remedy this problem. Specifically, it is proposed to perform, in a first step, principal component analysis or factor analysis. These methods help reduce the dimensionality of the data space without loss of important information. In a second step, sectors are created in the component or factor space. These sectors can, in a third step, be subjected to Configural Frequency analysis (CFA). CFA identifies those sectors that contradict a priori-specified hypotheses. It is also proposed to take into account the ordinal nature of the sectors. In addition, distributional assumptions can be considered. This is illustrated in data examples. Possible extensions of the proposed approach are discussed.</p>","PeriodicalId":36744,"journal":{"name":"Journal for Person-Oriented Research","volume":"8 1","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2022-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9178982/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40024908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Scandinavian Society for Person-Oriented Research (SPOR) Young Researcher Award 2021","authors":"L. Bergman","doi":"10.17505/jpor.2022.24220","DOIUrl":"https://doi.org/10.17505/jpor.2022.24220","url":null,"abstract":"The award is given to Wolfgang Wiedermann, University of Missouri, Columbia, for his many contributions to new valuable methods for analyzing data in a person-oriented context.Wiedermann has often, but not exclusively, carried out his research within the framework of the configural frequency analysis (CFA) tradition, in many cases in collaboration with Alexander von Eye. The CFA framework is eminently well suited to provide a methodological toolbox for the researcher carrying out person-oriented analyses. Wiedermann has been a driving force in developing many new methods that not only extend the CFA approach but which also in a clever and creative way makes use of other types of statistical methods to find new types of solutions to methodological challenges.","PeriodicalId":36744,"journal":{"name":"Journal for Person-Oriented Research","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49369414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intraindividual Fluctuations in Sleep Predict Subsequent Goal Setting in Adolescents.","authors":"Laura E Michaelson,&nbsp;Juliette Berg,&nbsp;Michelle J Boyd-Brown,&nbsp;Whitney Cade,&nbsp;Dian Yu,&nbsp;G John Geldhof,&nbsp;Pei-Jung Yang,&nbsp;Paul A Chase,&nbsp;David Osher,&nbsp;Richard M Lerner","doi":"10.17505/jpor.2021.23796","DOIUrl":"https://doi.org/10.17505/jpor.2021.23796","url":null,"abstract":"<p><p>The purpose of this study was to investigate within- and between-person associations between sleep and subsequent goal setting in adolescents. We conducted an intensive repeated measures longitudinal study to assess intra- and inter-individual associations between sleep and goal setting and potential moderators of such associations. Thirty-nine seventh through 12th graders reported on their sleep quality and propensity to set goals in their daily lives several times per week for approximately four months. We used a combination of multilevel modeling with time-varying covariates and centering techniques to partition within- and between-person variance. We found significant and positive associations between sleep and goal setting within individuals, but no such associations between individuals. That is, students were more likely to set goals for their work after getting a good night's sleep relative to their own average sleep quality, but getting good sleep on average relative to other individuals showed no association with average goal setting. These relationships were not moderated by participant age, gender, or sociodemographic status as indexed by maternal education. Differences in average sleep between adolescents matters less for their propensity to set goals than whether they experienced better- or worse-than-usual sleep the previous night given their own average. This finding represents the first evidence documenting effects of sleep on goal setting, which is an important psychological precursor to many youth behavioral and achievement outcomes. Our findings highlight the individuality of sleep needs and point to new directions for sleep-related practice and policy aimed at youth.</p>","PeriodicalId":36744,"journal":{"name":"Journal for Person-Oriented Research","volume":"7 2","pages":"78-87"},"PeriodicalIF":0.0,"publicationDate":"2022-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8753633/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39852917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Listen and You Will See the Person Through the Dementia","authors":"R. Estrada","doi":"10.17505/jpor.2021.23797","DOIUrl":"https://doi.org/10.17505/jpor.2021.23797","url":null,"abstract":"Dementia is an ever-increasing health and social problem, with a growing number of people being affected worldwide. As dementia progresses, dependency on others increases, requiring the presence of caregivers. Caregivers tend to focus on the diagnosis itself – dementia – which makes it difficult to see the person in their uniqueness. The person is there, and can be seen by listening, which requires time and communication skills. The voices of older adults living with several types of dementia, collected while working as a psychologist in a nursing home, are presented in the first person to bring forward the person they are. These excerpts of interactions illustrate the basic psychological need of relatedness, which is built through interaction, stories, and touch, and the needs of competence and autonomy. The framework of this paper en-compasses validation therapy, person-centered care, and self-determination theory. Two conclusions emerge: Seeing the person through the dementia enables an adequate psychological assessment and a helpful supportive psychotherapy, and it also makes us acknowledge and help satisfy the three basic psychological needs of relatedness, competence, and autonomy.","PeriodicalId":36744,"journal":{"name":"Journal for Person-Oriented Research","volume":" ","pages":"88 - 97"},"PeriodicalIF":0.0,"publicationDate":"2022-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42691978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Listen and You Will See the Person Through the Dementia","authors":"R. Estrada","doi":"10.17505/jpor.2021.23891","DOIUrl":"https://doi.org/10.17505/jpor.2021.23891","url":null,"abstract":"Dementia is an ever-increasing health and social problem, with a growing number of people being affected worldwide. As dementia progresses, dependency on others increases, requiring the presence of caregivers. Caregivers tend to focus on the diagnosis itself – dementia – which makes it difficult to see the person in their uniqueness. The person is there, and can be seen by listening, which requires time and communication skills. The voices of older adults living with several types of dementia, collected while working as a psychologist in a nursing home, are presented in the first person to bring forward the person they are. These excerpts of interactions illustrate the basic psychological need of relatedness, which is built through interaction, stories, and touch, and the needs of competence and autonomy. The framework of this paper en-compasses validation therapy, person-centered care, and self-determination theory. Two conclusions emerge: Seeing the person through the dementia enables an adequate psychological assessment and a helpful supportive psychotherapy, and it also makes us acknowledge and help satisfy the three basic psychological needs of relatedness, competence, and autonomy.","PeriodicalId":36744,"journal":{"name":"Journal for Person-Oriented Research","volume":"7 1","pages":"88 - 97"},"PeriodicalIF":0.0,"publicationDate":"2022-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41907678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Averting the Next Credibility Crisis in Psychological Science: Within-Person Methods for Personalized Diagnostics and Intervention.","authors":"Julia Moeller","doi":"10.17505/jpor.2021.23795","DOIUrl":"10.17505/jpor.2021.23795","url":null,"abstract":"<p><p>Personalizing assessments, predictions, and treatments of individuals is currently a defining trend in psychological research and applied fields, including personalized learning, personalized medicine, and personalized advertisement. For instance, the recent pandemic has reminded parents and educators of how challenging yet crucial it is to get the right learning task to the right student at the right time. Increasingly, psychologists and social scientists are realizing that the between-person methods that we have long relied upon to describe, predict, and treat individuals may fail to live up to these tasks (e.g., Molenaar, 2004). Consequently, there is a risk of a credibility loss, possibly similar to the one seen during the replicability crisis (Ioannides, 2005), because we have only started to understand how many of the conclusions that we tend to draw based on between-person methods are based on a misunderstanding of what these methods can tell us and what they cannot. An imminent methodological revolution will likely lead to a change of even well-established psychological theories (Barbot et al., 2020). Fortunately, methodological solutions for personalized descriptions and predictions, such as many within-person analyses, are available and undergo rapid development, although they are not yet embraced in all areas of psychology, and some come with their own limitations. This article first discusses the extent of the theory-method gap, consisting of theories about within-person patterns being studied with between-person methods in psychology, and the potential loss of trust that might follow from this theory-method gap. Second, this article addresses advantages and limitations of available within-person methods. Third, this article discusses how within-person methods may help improving the individual descriptions and predictions that are needed in many applied fields that aim for tailored individual solutions, including personalized learning and personalized medicine.</p>","PeriodicalId":36744,"journal":{"name":"Journal for Person-Oriented Research","volume":"7 1","pages":"53-77"},"PeriodicalIF":0.0,"publicationDate":"2022-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8826406/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47700592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Are Retrospective Assessments Means of People's Experiences?: Accounting for Interpersonal and Intrapersonal Variability when Comparing Retrospective Assessment Data to Ecological Momentary Assessment Data.","authors":"IJsbrand Leertouwer,&nbsp;Noémi K Schuurman,&nbsp;Jeroen K Vermunt","doi":"10.17505/jpor.2022.24855","DOIUrl":"https://doi.org/10.17505/jpor.2022.24855","url":null,"abstract":"<p><p>Retrospective Assessment (RA) scores are often found to be higher than the mean of Ecological Momentary Assessment (EMA) scores about a concurrent period. This difference is generally interpreted as bias towards salient experiences in RA. During RA participants are often asked to summarize their experiences in unspecific terms, leaving room for personal interpretation. As a result, participants may use various strategies to summarize their experiences. In this study, we reanalyzed an existing dataset (<i>N</i> = 92) using a repeated <i>N</i> = 1 approach. We assessed for each participant whether it was likely that their RA score was an approximation of the mean of their experiences as captured by their EMA scores. We found considerable interpersonal differences in the difference between EMA scores and RA scores, as well as some extreme cases. Furthermore, for a considerable part of the sample (<i>n</i> = 46 for positive affect, <i>n</i> = 56 for negative affect), we did not reject the null hypothesis that their RA score represented the mean of their experiences as captured by their EMA scores. We conclude that in its current unspecific form RA may facilitate bias, although not for everyone. Future studies may determine whether differences between RA and EMA are mitigated using more specific forms of RA, while acknowledging interindividual differences.</p>","PeriodicalId":36744,"journal":{"name":"Journal for Person-Oriented Research","volume":"8 2","pages":"52-70"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9773960/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10816935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"On Standardized Measurement in Behavioral Science.","authors":"John R Nesselroade,&nbsp;Peter C M Molenaar","doi":"10.17505/jpor.2022.24854","DOIUrl":"https://doi.org/10.17505/jpor.2022.24854","url":null,"abstract":"<p><p>That standardized measurement procedures are a sine qua non of \"good\" science is generally not questioned. Here we examine the meaning and use of standardized measurement in behavioral science. Procedures and methods of measurement that have served the physical sciences so well should not blindly be assumed to work in the same manner and with the same effectiveness in behavioral science. There seems to be general agreement that social/behavioral science is \"different\" among the sciences. Problems arising from how behavioral science is \"different\" begin, we believe, with measurement. We put forward the argument that the source of the difference is unique to animate objects and is first evident at the stage of measuring the behavioral attributes of interest. It is at that point in conducting scientific inquiry that the matters raised might be resolved by developing and applying alternatives to standardized measurement. One such alternative discussed is the idiographic filter (Nesselroade, Gerstorf, Hardy, & Ram, 2007).</p>","PeriodicalId":36744,"journal":{"name":"Journal for Person-Oriented Research","volume":"8 2","pages":"43-51"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9773943/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10816938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How to Use Model-Based Cluster Analysis Efficiently in Person-Oriented Research.","authors":"Bence Gergely,&nbsp;András Vargha","doi":"10.17505/jpor.2021.23449","DOIUrl":"https://doi.org/10.17505/jpor.2021.23449","url":null,"abstract":"<p><p>Model-based cluster analysis (MBCA) was created to automatize the often subjective model-selection procedure of traditional explorative clustering methods. It is a type of finite mixture modelling, assuming that the data come from a mixture of different subpopulations following given distributions, typically multivariate normal. In that case cluster analysis is the exploration of the underlying mixture structure. In MBCA finding the possible number of clusters and the best clustering model is a statistical model-selection problem, where the models with differing number and type of component distributions are compared. For fitting a certain model MBCA uses a likelihood based Bayesian Information Criterion (BIC) to evaluate its appropriateness and the model with the highest BIC value is accepted as the final solution. The aim of the present study is to investigate the adequacy of automatic model selection in MBCA using BIC, and suggested alternative methods, like the Integrated Completed Likelihood Criterion (ICL), or Baudry's method. An additional aim is to refine these procedures by using so called quality coefficients (QCs), borrowed from methodological advances within the field of exploratory cluster analysis, to help in the choice of an appropriate cluster structure (CLS), and also to compare the efficiency of MBCA in identifying a theoretical CLS with those of various other clustering methods. The analyses are restricted to studying the performance of various procedures of the type described above for two classification situations, typical in person-oriented studies: (1) an example data set characterized by a perfect theoretical CLS with seven types (seven completely homogeneous clusters) was used to generate three data sets with varying degrees of measurement error added to the original values, and (2) three additional data sets based on another perfect theoretical CLS with four types. It was found that the automatic decision rarely led to an optimal solution. However, dropping solutions with irregular BIC curves, and using different QCs as an aid in choosing between different solutions generated by MBCA and by fusing close clusters, optimal solutions were achieved for the two classification situations studied. With this refined procedure the revealed cluster solutions of MBCA often proved to be at least as good as those of different hierarchical and <i>k</i>-center clustering methods. MBCA was definitely superior in identifying four-type CLS models. In identifying seven-type CLS models MBCA performed at a similar level as the best of other clustering methods (such as <i>k</i>-means) only when the reliability level of the input variables was high or moderate, otherwise it was slightly less efficient.</p>","PeriodicalId":36744,"journal":{"name":"Journal for Person-Oriented Research","volume":"7 1","pages":"22-35"},"PeriodicalIF":0.0,"publicationDate":"2021-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8411881/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39437409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Personalizing Psychological Care for Chronic Cancer-Related Fatigue: A Case Study on Symptom Dynamics.","authors":"Melanie P J Schellekens,&nbsp;Tom I Bootsma,&nbsp;Rosalie A M van Woezik,&nbsp;Marije L van der Lee","doi":"10.17505/jpor.2021.23447","DOIUrl":"https://doi.org/10.17505/jpor.2021.23447","url":null,"abstract":"Approximately 25% of cancer patients suffer from chronic cancer-related fatigue (CCRF), which is a complex, multifactorial condition. While there are evidence-based interventions, it remains unclear what treatment works best for the individual patient. Psychological network models can offer a schematic representation of interrelations among fatigue and protective and perpetuating factors for the individual patient. We explored whether feedback based on these individual fatigue networks can help personalize psychological care for CCRF. A 34-year old woman with CCRF was referred to our mental healthcare institute for psycho-oncology. During the waitlist period, she filled out an experience sampling app for 101 days, including five daily assessments of fatigue, pain, mood, activity and fatigue coping. The interplay between items was visualized in network graphs at the moment-level and day-level, which were discussed with the patient. For example, acceptance of fatigue in the past three hours was associated with less hopelessness and less fatigue in the following moment. At the day-level, acceptance was also being associated with less fatigue, less hopelessness, a better mood, and more motivation to do things. The patient recognized these patterns and explained how unexpected waves of fatigue can make her feel hopeless. This started a dialogue on how cultivating acceptance could potentially help her handle the fatigue. The patient would discuss this with her therapist. Feedback based on individual fatigue networks can provide direct insight into how one copes with CCRF and subsequently offer directions for treatment. Further research is needed in order to implement this in clinical practice.","PeriodicalId":36744,"journal":{"name":"Journal for Person-Oriented Research","volume":"7 1","pages":"1-13"},"PeriodicalIF":0.0,"publicationDate":"2021-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8411882/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39437407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}