On the temporal stability of self-determined work motivation profiles: a latent transition analysis

ABSTRACT

This study extends the research and theory on work motivation by examining temporal stability and change in employees’ self-determined work motivation profiles and their differential relations to various predictors and outcomes. We gathered data at two time points over a 24-month period from a sample of 438 newly registered public health care nurses. Results of latent profile and latent transition analyses revealed four distinct profiles (strongly, moderately, self-determined, and poorly motivated), estimated from the position of global and specific behavioural regulations on the motivation continuum proposed by self-determination theory. These profiles were entirely stable at the within-sample level, although within-person changes in profile membership occurred for 30–40% of employees. Of particular interest, perceptions of job resources were consistently associated with greater likelihood of membership in the strongly and moderately motivated profiles. These profiles were also consistently associated with lower emotional exhaustion and intentions to leave the occupation and the organization and with higher in-role performance compared to the self-determined and poorly motivated profiles.     

如何消除子团队的消极作用——子团队成员交换的作用

本文探究子团队层面的团队构成动态变化, 即子团队成员交换是否有助于消除子团队的消极影响。本文将存在两个平衡的以认同为基础的子团队的团队作为研究对象, 试图通过实验的研究方法来探讨子团队成员交换是否能够消除子团队对团队的消极影响。通过对75组子团队进行实验后发现: (1)相较于无子团队成员交换的团队, 有子团队成员交换的团队其团队信息深化及团队决策质量更佳; (2)团队信息深化在子团队成员交换与团队决策质量关系间呈中介作用。     

Modeling Intraindividual Cognitive Change in Aging Adults: Results from the Einstein Aging Studies

This paper reviews research from the longitudinal Einstein Aging Studies (EAS) that has focused on modeling intraindividual cognitive change in aging adults. We describe how to separate models of intraindividual change at the within-person level from models of individual differences in change at the between-person level. We illustrate this distinction by analyzing new data from the EAS to test the speed hypothesis at the intraindividual level of analyses. The present findings replicate those of Sliwinski and Buschke (1999) by showing that within-person changes in speed predict within-person changes in cognition, but that speed does not substantially attenuate estimates of within-person cognitive decline. We conclude that correct measurement and explanatory modeling of intraindividual change should be the primary focus of longitudinal aging research, and that the more common practice of modeling individual differences in change should be a secondary focus.     

Neuromotor profiles: what are they and what can we learn from them?

Eye movements, alternating movements, rapid pointing movements, and various tremors were measured on patients with Parkinson's disease (n = 21), on Cree subjects exposed to methylmercury (n = 36), and on healthy control subjects (n = 30). Neuromotor profiles were created according to thirty characteristics extracted from test results of four subgroups matched for age and composed of six subjects each. Z scores were calculated with respect to the mean and standard deviation of the control group for each of the 30 characteristics. The subgroup with the lower methylmercury blood level had larger z scores than the control subgroup and with a few positive values above one standard deviation. The subgroup with the higher methylmercury blood level had several z scores above two standard deviations. Interestingly, the abnormal values for the subgroup with Parkinson's disease were mostly limited to static tremor recorded with no visual feedback and reached up to 5 standard deviations. These results indicate that neuromotor profiles can be used to summarize information extracted from different neuromotor tests and to differentiate neurological conditions.     

Examining the between- and within-person effects of relative deprivation: Results from a 7-year longitudinal panel sample

Despite the extensive literature on relative deprivation theory, few studies have examined the longitudinal effects of individual- and group-based relative deprivation (IRD and GRD, respectively) on individual- and group-based outcomes, nor has research investigated the between-person and within-person effects of these constructs. Using two random intercept cross-lagged panel models, we address these oversights by estimating the between-person and average annual within-person associations IRD and GRD have with psychological distress and collective action support in a nation-wide longitudinal panel sample (N = 64,607). As expected, IRD and GRD were more strongly associated with psychological distress and collective action support, respectively, at the between-person level and contemporaneously at the within-person level. However, contrary to expectations, temporary departures in IRD and GRD predicted within-person increases in collective action support and psychological distress, respectively. These results raise questions about how and when people respond to inequality and provide the foundations for future longitudinal research.     

Exploring the within-person coupling of sleep and cognition in older African Americans

This study examined the within-person relationship between sleep and cognitive functioning. Fifty community-dwelling African Americans (age range = 50-80 years) were asked to report their sleep duration and quality the previous evening and to complete cognitive measures over 8 occasions within a 2-3 week period. A within-person daily change in sleep duration was significantly associated with worse global cognitive performance. The greater an individual deviated away from his or her average sleep duration on a particular day, the more likely his or her performance would decline. These results demonstrate that the sleep-cognition relationship can be observed at a within-person level of analysis.     

Abstract: Identifying Longitudinal Patterns of Adherence to Treatment for Obstructive Sleep Apnea

Increasing adherence to medical recommendations is crucial for improving health outcomes and reducing costs of health care. To improve adherence, we have to better understand behavior change over time. The focus of this study was adherence to treatment for obstructive sleep apnea (OSA). Adherence to positive airway pressure (PAP), the most common treatment for OSA, is poor. This study involved an international sample of 161 participants, each with approximately 180 nights of data, and had three phases. First, a separate time series analysis was performed for each individual. Time series parameters included the mean (average hours of use per night), level (the intercept), slope (the rate of change over time), variance (variability in use), and autocorrelation (a measure of dependency). Second, a dynamic cluster analysis was performed to find homogenous subgroups of individuals with similar adherence patterns. A four-cluster solution was found, and the subgroups were labeled (see Figure 1): Great Users (17.2%; high mean and level, no slope), Good Users (32.8%; moderate mean and level, no slope), Poor Users (22.7%; low mean and level, negative slope), and Slow Decliners (moderate mean and level, negative slope, high variance). Third, participants in the identified subgroups were compared on a number of variables that were not involved in the clustering to establish external validity. Some notable findings at later time points include the following: Great Users reported the most self-efficacy (confidence to use PAP), Poor Users reported the most sleepiness, and Great Users reported the highest quality of sleep. Combining time series analysis and dynamic cluster analysis is a useful way to evaluate adherence patterns at both the individual level and subgroup level. Psychological variables relevant to adherence patterns, such as self-efficacy, could be the focus of interventions to increase PAP usage.     

IMPLEMENTATION AND EVALUATION OF AN ASSESSMENT CLASSIFICATION MODEL FOR MANPOWER UTILIZATION1

The present study deals with implementing and evaluating Schoenfeldt's assessment-classification model in an industrial setting using a multiplicity of job families and a range of criteria. A total of 1,987 non-exempt employees of a U. S. oil company were administered an extensive autobiographical inventory. Hierarchical clustering of the resulting biographical profiles produced 18 subgroups of employees such that within any one subgroup, background experiences and interests were similar and between subgroups they were different. A similar methodology was applied to job analysis data in creating a structure of 19 job families for 939 office and clerical jobs. Significant relationships were found between biodata subgroups and criteria of sex, education level, termination rate, equal employment opportunity job classification and performance ratings. There was no statistically significant relationship between subgroup membership and race. In addition, there was a significant relationship between subgroups and job families. Applications for a variety of personnel management practices are discussed.     

子团队的结构与情感对团队创造力的影响

为细化现有团队研究,着眼于子团队并结合团队同质情感,挖掘了团队中的子团队平衡性、团队情感与团队创造力关系。通过对某高校333名学生的团队实验研究,得出主要结论认为：团队中子团队的平衡性与团队情感对影响团队创造存在交互作用,具有积极情感且子团队平衡的团队创造力更高。当子团队不平衡时,情感积极团队会比中性情感下的团队有更大的创造力波动性。     

Interindividual differences in attentional control profiles among younger and older adults

This study aimed at characterizing the individual variability in three attentional control functions (shifting, inhibition, and updating), among 75 older and 75 younger adults. It also examined the intellectual and health variables associated with different cognitive profiles. Cluster analyses identified three separate attentional control profiles for both age groups, but the patterns of variability were strikingly different. Younger adults’ profiles were characterized by homogeneous performance across domains and differed only in their overall level of performance. In contrast, older adults’ profiles were characterized by uneven levels of performance across domains and inhibition stood out as critical in distinguishing between profiles. One subgroup of older adults had poor inhibition and more adverse lifestyle characteristics and appeared more cognitively vulnerable. In conclusion, subgroups of younger and older adults with different attentional control profiles can be identified, but the expression of variability changes with age as older adults’ profiles become more heterogeneous.     

Multilevel Factor Analysis and Structural Equation Modeling of Daily Diary Coping Data: Modeling Trait and State Variation

This study used multilevel modeling of daily diary data to model within-person (state) and between-person (trait) components of coping variables. This application included the introduction of multilevel factor analysis (MFA) and a comparison of the predictive ability of these trait/state factors. Daily diary data were collected on a large (n = 366) multiethnic sample over the course of 5 days. Intraclass correlation coefficient for the derived factors suggested approximately equal amounts of variability in coping usage at the state and trait levels. MFAs showed that Problem-Focused Coping and Social Support emerged as stable factors at both the within-person and between-person levels. Other factors (Minimization, Emotional Rumination, Avoidance, Distraction) were specific to the within-person or between-person levels but not both. Multilevel structural equation modeling (MSEM) showed that the prediction of daily positive and negative affect differed as a function of outcome and level of coping factor. The Discussion section focuses primarily on a conceptual and methodological understanding of modeling state and trait coping using daily diary data with MFA and MSEM to examine covariation among coping variables and predicting outcomes of interest.     

Multilevel factor analysis and structural equation modeling of daily diary coping data: Modeling trait and state variation

The current study used multilevel modeling of daily diary data to model within-person (state) and between-person (trait) components of coping variables. This application included the introduction of multilevel factor analysis (MFA) and a comparison of the predictive ability of these trait/state factors. Daily diary data was collected on a large (n = 366) multiethnic sample over the course of five days. Intraclass correlation coefficient for the derived factors suggested approximately equal amounts of variability in coping usage at the state and trait levels. MFAs showed that Problem-Focused Coping and Social Support emerged as stable factors at both the within-person and between-person levels. Other factors (Minimization, Emotional Rumination, Avoidance, Distraction) were specific to the within-person or between-person levels, but not both. Multilevel structural equation modeling (MSEM) showed that the prediction of daily positive and negative affect differed as a function of outcome and level of coping factor. The Discussion section focuses primarily on a conceptual and methodological understanding of modeling state and trait coping using daily diary data with MFA and MSEM to examine covariation among coping variables and predicting outcomes of interest.     

Musculoskeletal status and disability of MMPI profile subgroups among patients with low back pain

The Minnesota Multiphasic Personality Inventory (MMPI) profiles of 205 male and 157 female patients with acute and chronic low back pain (LBP) were studied for replicable homogeneous subgroups using three cluster-analysis procedures. Two normal and three clinically elevated profile subgroups were identified. The two normal subgroups were characterized by relatively normal musculoskeletal condition and were least disabled, but they differed somewhat from each other in duration of pain, presence of physical abnormalities, and daily functioning. The third subgroup had the following characteristics: an elevated neurotic triad, greatest duration of symptoms, most abnormal physical findings, greatest limitation of motion, most pain complaints during physical examination, and the fewest number of intact functional activities. The fourth subgroup, with an elevated neurotic triad plus subclinical elevations on other scales, had somewhat less musculoskeletal impairment but had extensive work disability, financial compensation, and previous surgeries. The fifth and most pathologic profile subgroup surprisingly consisted largely of acute-pain patients whose musculoskeletal condition and daily functioning were similar to those of the normal subgroups. Patients in the three abnormal MMPI subgroups were exposed to more LBP physical-risk factors in the workplace. Implications for psychological treatment with these different profile types are discussed.     

Using latent class analysis to identify aggressors and victims of peer harassment

This study used latent class analysis (LCA) to identify and classify individuals into aggressor and victim latent classes. Participants were over 2,000 sixth grade students who completed peer nomination procedures that identified students who had reputations as perpetrators and/or victims of physical, verbal, or relational harassment. Results showed five latent classes. Consistent with previous research, LCA identified latent classes of victims, aggressors, and socially adjusted students. However, rather than a single aggressive-victim subgroup, LCA identified latent classes of highly-victimized aggressive-victims and highly-aggressive aggressive-victims. Comparisons showed differences in mean profiles and classification criteria between LCA and traditional dichotomization approaches. Adjustment outcomes showed that highly-victimized aggressive-victims generally experienced greater negative psychological and social adjustment outcomes than highly-aggressive aggressive-victims. Implications of these findings for better assessment of victim and aggressor subgroups were discussed.     

A within-person theoretical perspective in sales research: outlining recommendations for adoption and consideration of boundary conditions

Abstract

In the sales literature it is standard practice for researchers to collect cross-sectional data from multiple salespeople, and to compare those salespeople on the data obtained. This between-person approach is suitable for research aiming to draw conclusions between salespeople. However, many salesperson processes are dynamic and vary within salespeople over time, requiring datasets with repeated-measures. This article highlights the need to adopt a within-person theoretical perspective in sales research. Critically, the article shows how our present understanding of boundary conditions may change depending on whether a between-person or within-person level of analysis is adopted. Using examples from the sales literature, we show how the practical implications from between-persons research designs do not necessarily generalize to the within-person level. Further, we explain the methodological and analytical considerations that researchers must account for when undertaking within-person research. Furthermore, the article provides decision criteria that help to identify when within-person analysis should be conducted, outlining analysis tools that are capable of correctly estimating within-person effects without bias. Examples of how within-person research can enhance theory within future sales research, and how within-person research may influence management implications are also discussed. Finally, potential remedies to within-person research barriers are given.     

A Social Categorization Explanation for Framing Effects in Nested Social Dilemmas

This study developed and tested the idea that social categorization processes help to explain framing effects in social dilemmas. Using self-categorization theory, we predicted that members of a collective would cooperate more when they faced homogeneous rather than heterogeneous resource frames. We manipulated the starting point of resources for the members of each of two subgroups making up a larger collective in a nested social dilemma. The resources of the subject's own subgroup started at the individual, subgroup, or collective level, and the resources of the opposing subgroup also started at the individual, subgroup, or collective level. The condition in which both subgroups' resources began at the collective level was similar to a traditional commons dilemma, while the condition in which both subgroups' resources began at the individual level was similar to a traditional public goods problem. The other conditions were new to this research domain. We found higher allocations to the collective account when the initial resource location was the same for both subgroups (versus different for each subgroup), even when this initial location was the subgroup or individual level. Whereas previous explanations for framing effects cannot account for these results, social categorization processes provide a parsimonious explanation for the observed pattern of allocations.     

Psychometric Properties of the Beck Depression Inventory–II in Low-Income,African American Suicide Attempters

The construct of perfectionistic cognitions is defined as a state-like construct resulting from a perfectionistic self-schema and activated by specific situational demands. Only a few studies have investigated whether and how perfectionistic cognitions change across different situations and whether they reflect stable between-person differences or also within-person variations over time. We conducted 2 studies to investigate the variability and stability of 3 dimensions of perfectionistic cognitions while situational demands changed (Study 1) and on a daily level during a highly demanding period of time (Study 2). The results of both studies revealed that stable between-person differences accounted for the largest proportion of variance in the dimensions of perfectionistic cognitions and that these differences were validly associated with between-person differences in affect. The frequency of perfectionistic cognitions increased during students' first semester at university, and these average within-person changes were different for the 3 dimensions of perfectionistic cognitions (Study 1). In addition, there were between-person differences in the within-person changes that were validly associated with concurrent changes in closely related constructs (unpleasant mood and tense arousal). Within-person variations in perfectionistic cognitions were also validly associated with variations in unpleasant mood and tense arousal from day to day (Study 2).     

Is there any scapegoat around? Determinants of intergroup conflicts at different categorization levels.

Recategorization at a higher level reduces tensions between groups. However, recategorization may cause conflicts between the common in-group and a new out-group. Additionally, determinants of conflict between subgroups may enhance conflict at the higher categorization level. In the context of German unification, the authors explored these suggestions with an East German 3-wave longitudinal study and a West German control group. Results show that a salient East German versus West German categorization enhances conflict between subgroups, whereas categorization as German enhances conflict at the common in-group level. Determinants of subgroup conflict also influence conflict at the inclusive level (Germans and foreigners). Thus, recategorization is a 2-edged instrument: Although it reduces conflict at the subgroup level, it may initiate conflict at the common in-group level.     

Identifying Longitudinal Patterns for Individuals and Subgroups: An Example with Adherence to Treatment for Obstructive Sleep Apnea

To improve complex behaviors such as adherence to medical recommendations, a better understanding of behavior change over time is needed. The focus of this study was adherence to treatment for obstructive sleep apnea (OSA). Adherence to the most common treatment for OSA is poor. This study involved a sample of 161 participants, each with approximately 180 nights of data. First, a time series analysis was performed for each individual. Time series parameters included the mean (average hours of use per night), level, slope, variance, and autocorrelation. Second, a dynamic cluster analysis was performed to find homogenous subgroups of individuals with similar adherence patterns. A four-cluster solution was found, and the subgroups were labeled: Great Users (17.2%; high mean and level, no slope), Good Users (32.8%; moderate mean and level, no slope), Low Users (22.7%; low mean and level, negative slope), and Slow Decliners (moderate mean and level, negative slope, high variance). Third, participants in the identified subgroups were compared to establish external validity. These steps represent a Typology of Temporal Patterns (TTP) approach. Combining time series analysis and dynamic cluster analysis is a useful way to evaluate longitudinal patterns at both the individual level and subgroup level.     

Keep calm and carry on: Maintaining self-control when intoxicated,upset, or depleted

This study tested within-person associations between intoxication, negative affect, and self-control demands and two forms of self-control failure, interpersonal conflict, and neglecting responsibilities. Effortful control was hypothesised to act as a buffer, reducing individual susceptibility to these within-person effects. In contrast, reactivity was hypothesised to potentiate the within-person associations. 274 young adults aged 18–27 (56% women, 93% white) completed experience sampling assessments for up to 49 days over the course of 1.3 years. Results indicated independent within-person effects of intoxication, negative affect, and self-control demands on the outcomes. Hypothesised moderating effects of reactivity were not supported. Effortful control did not moderate the effects of self-control demands as expected. However, effortful control exhibited a protective effect when individuals were intoxicated or upset to reduce the likelihood of maladaptive behavioural outcomes.