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Change scores obtained in pretest–posttest designs are important for evaluating treatment effectiveness and for assessing change of individual test scores in psychological research. However, over the years the use of change scores has raised much controversy. In this article, from a multilevel perspective, we provide a structured treatise on several persistent negative beliefs about change scores and show that these beliefs originated from the confounding of the effects of within-person change on change-score reliability and between-person change differences. We argue that psychometric properties of change scores, such as reliability and measurement precision, should be treated at suitable levels within a multilevel framework. We show that, if examined at the suitable levels with such a framework, the negative beliefs about change scores can be renounced convincingly. Finally, we summarize the conclusions about change scores to dispel the myths and to promote the potential and practical usefulness of change scores.

Introduction The aim of this study was to develop a conditional normative model for Rey's Auditory Verbal Learning Test (AVLT) that accounts for practice effects. Methods In our normative sample, robust conditional norms were derived from 1001 cognitively unimpaired (CU) adults ages 50 to 89 who completed the AVLT up to eight times. Linear mixed‐effects models adjusted for baseline performance, prior test exposures, time, demographics, and interaction terms. In our preliminary validation, mean performance on conditional and typical normative scores across two to four completed follow‐up tests in preclinical Alzheimer's disease participants at baseline with positive amyloid and tau positron emission (n = 27 CU amyloid [A]+tau[T]+) was compared to biomarker negative individuals (n = 269 CU A–T–). Results AVLT performance using typical norms did not differ across A+T+ and A–T– groups. Conditional norms z‐scores were lower in the A+T+ relative to the A–T– group for 30‐minute recall (P = .033) and sum of trials (P = .030). Discussion Conditional normative methods that account for practice effects show promise for identifying longitudinal cognitive decline.

Researchers have neglected dynamic effects of proactive behavior on occupational well-being. We investigated effects of change in personal initiative over 6 months on changes in emotional engagement and exhaustion over the following 6 months. On the basis of the control-process theory on affect, we hypothesized that changes in positive and negative moods mediate these effects conditional upon employees’ level of perceived organizational support. On the basis of action regulation theory, we assumed that change in job autonomy also acts as a mediator. Data came from 297 employees who responded to 3 surveys separated by 6-month intervals. Results of latent change score modeling showed that change in personal initiative negatively predicted change in positive mood and, when perceived organizational support was low, positively predicted change in negative mood. In addition, change in personal initiative positively predicted change in job autonomy. Change in personal initiative had negative indirect effects on change in emotional engagement, and positive indirect effects on change in emotional exhaustion through changes in positive and negative moods (but not through change in job autonomy). A reverse causal model did not yield significant indirect effects. Overall, these findings suggest that an increase in proactive behavior can have detrimental effects on occupational well-being.

Many employees in modern, knowledge-based organizations are concurrently involved in more than one team at the same time. This study investigated whether a within-person change in such individual multiple team membership (MTM) may precede and may be predicted by changes in an employee’s overall job performance. We examined this reciprocal relationship using longitudinal archival data from a large knowledge-intensive organization, comprising 1,875 employees and spanning 5 consecutive years. A latent change score model demonstrated that an increase in an employee’s MTM was associated with a subsequent decrease in his or her overall job performance evaluations. By contrast, an increase in job performance was associated with a subsequent increase in an employee’s MTM. Moreover, our results indicated that although an increase in an individual employee’s MTM initially decreases his or her job performance, in the long run, this increase in MTM was associated with higher job performance. Together, these results suggest a dynamic association between an individual employee’s MTM and his or her overall job performance, such that these variables are mutually connected in a highly complex manner over time.

Background Randomized pre-post designs, with outcomes measured at baseline and after treatment, have been commonly used to compare the clinical effectiveness of two competing treatments. There are vast, but often conflicting, amount of information in current literature about the best analytic methods for pre-post designs. It is challenging for applied researchers to make an informed choice. Methods We discuss six methods commonly used in literature: one way analysis of variance (“ ANOVA” ) , analysis of covariance main effect and interaction models on the post-treatment score (“ ANCOVA I ” and “ ANCOVA II ”), ANOVA on the change score between the baseline and post-treatment scores (“ ANOVA-Change ”), repeated measures (“ RM” ) and constrained repeated measures (“ cRM” ) models on the baseline and post-treatment scores as joint outcomes. We review a number of study endpoints in randomized pre-post designs and identify the mean difference in the post-treatment score as the common treatment effect that all six methods target. We delineate the underlying differences and connections between these competing methods in homogeneous and heterogeneous study populations. Results ANCOVA and cRM outperform other alternative methods because their treatment effect estimators have the smallest variances. cRM has comparable performance to ANCOVA I in the homogeneous scenario and to ANCOVA II in the heterogeneous scenario. In spite of that, ANCOVA has several advantages over cRM: i) the baseline score is adjusted as covariate because it is not an outcome by definition; ii) it is very convenient to incorporate other baseline variables and easy to handle complex heteroscedasticity patterns in a linear regression framework. Conclusions ANCOVA is a simple and the most efficient approach for analyzing pre-post randomized designs.

Adaptation to intimate partner violence (IPV) exposure involves alterations in transdiagnostic processes including effortful control (EC), and yet little attention has been given to the ways such processes interact with family-level factors, such as caregivers’ psychopathology. This study used latent change score modeling to compare trajectories of EC and caregivers’ depressive (CD) symptoms between children and adolescents ( N = 365) ages 7–17 who had witnessed IPV (IPV+; 45.3%) and those who had not (IPV−) across 3 years. Findings suggested that IPV exposure moderated relationships between EC and CD. CD was higher and EC was lower for IPV+ relative to IPV− participants, although there was significant variation around mean-level CD and EC in both groups. CD and EC were only linked for IPV+ participants, where higher baseline CD was associated with lower EC that lagged behind IPV− participants’ EC across the 3 years of the study. Rates of change for CD significantly varied for the IPV+ group only, indicating that individual difference factors interacted with IPV exposure to influence changes in CD. These findings inform literature on transdiagnostic adaptation processes and point to the potential utility of interventions to reduce IPV and CD in supporting EC in children and adolescents across contexts.

Given that millions of employees switched to mandatory telework during COVID-19, and as teleworking practices are likely to continue, it is essential to understand the potential impact of mandatory and non-flexible teleworking practices on employee well-being. Drawing on Conservation of Resources theory, we find support for resource gains as increase in job control mediates the link between increases in teleworking and improvements in well-being (increases in work engagement and decreases in burnout and job boredom). Conversely, the findings indicate resource losses as loss of social support and higher work-non-work interference explain the deterioration in well-being for those whose teleworking increased since the COVID-19 outbreak. By coupling role depletion and role enrichment theories, we find that employees who had children living at home experienced greater work-non-work interference due to increased teleworking. However, having children also buffered the negative impact of work-non-work interference on well-being. The findings are based on a Finnish population sample collected three months before and after the COVID-19 outbreak in March 2020 ( N  = 996 of matched respondents) and latent change score analyses of within-person changes. Our results provide new insights regarding the potential impact of teleworking on employee well-being in a context where teleworking is not flexible and self-selected by the employees. Notably, our results draw bridges (rather than burn them) between role depletion and enrichment frameworks as having children may simultaneously be “a burden” and “a gift”.

Purpose The purpose of this study is to empirically examine the cause–effect relationships between workplace friendship and knowledge-sharing behavior, from a static perspective. Furthermore, it investigates the bi-directional relationship between the increase in both workplace friendship and knowledge-sharing behavior over same time periods, and also endeavors to identify whether there is a significant negative lagged effect of the increase in both workplace friendship on knowledge-sharing behavior, and vice versa, across time from a dynamic perspective. Design/methodology/approach The study conducts a three-wave questionnaire survey to test the research model. A latent change score approach was used to test the direct relationship between changes in workplace friendship and changes in knowledge-sharing behavior. Findings The findings reveal that knowledge-sharing behavior fosters workplace friendship and workplace friendship promotes the emergence of knowledge-sharing behavior. An increase in workplace friendship promotes an increase in knowledge-sharing behavior over same time periods. However, an increase in workplace friendship will lead to a lagged decrease of knowledge-sharing behavior across time, and vice versa. Research limitations/implications The time interval in this study is a little short to capture the full changes in workplace friendship. Some important control factors and mediating mechanisms are not included in the research model. Practical implications This study guides managers to focus on various motivators to better strengthen workplace friendship and knowledge-sharing behavior and to consider and effectively respond to the negative side of workplace friendship and knowledge-sharing behavior across time. Originality/value This study emphasizes the predictivity of one important interaction patterns, namely, knowledge-sharing behavior on friendship at the workplace, from a static perspective. This study also shows the benefits of an increase in workplace friendship for the development of knowledge-sharing behavior in the same time period. Furthermore, the study presents a counterintuitive finding when taking the lag effect into consideration in exploring the relationship between changes both in workplace friendship and knowledge-sharing behavior, and identifies a negative side of both when viewed over longer periods.

Background: Healthy lifestyles are inversely associated with the risk of noncommunicable diseases, which are leading causes of death. However, few studies have used longitudinal data to assess the impact of changing lifestyle behaviours on all-cause and cancer mortality. Methods: Within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort, lifestyle profiles of 308,497 cancer-free adults (71% female) aged 35u201370 years at recruitment across nine countries were assessed with baseline and follow-up questionnaires administered on average of 7 years apart. A healthy lifestyle index (HLI), assessed at two time points, combined information on smoking status, alcohol intake, body mass index, and physical activity, and ranged from 0 to 16 units. A change score was calculated as the difference between HLI at baseline and follow-up. Associations between HLI change and all-cause and cancer mortality were modelled with Cox regression, and the impact of changing HLI on accelerating mortality rate was estimated by rate advancement periods (RAP, in years). Results: After the follow-up questionnaire, participants were followed for an average of 9.9 years, with 21,696 deaths (8407 cancer deaths) documented. Compared to participants whose HLIs remained stable (within one unit), improving HLI by more than one unit was inversely associated with all-cause and cancer mortality (hazard ratio [HR]: 0.84; 95% confidence interval [CI]: 0.81, 0.88; and HR: 0.87; 95% CI: 0.82, 0.92; respectively), while worsening HLI by more than one unit was associated with an increase in mortality (all-cause mortality HR: 1.26; 95% CI: 1.20, 1.33; cancer mortality HR: 1.19; 95% CI: 1.09, 1.29). Participants who worsened HLI by more than one advanced their risk of death by 1.62 (1.44, 1.96) years, while participants who improved HLI by the same amount delayed their risk of death by 1.19 (0.65, 2.32) years, compared to those with stable HLI. Conclusions: Making healthier lifestyle changes during adulthood was inversely associated with all-cause and cancer mortality and delayed risk of death. Conversely, making unhealthier lifestyle changes was positively associated with mortality and an accelerated risk of death.

Peer victimization and depressive symptoms are highly relevant risks during adolescence. Understanding the dynamic patterns of interactions between peer victimization and depressive symptoms as well as gender differences in these variables can improve intervention strategies for adolescents navigating this critical transition period. In the present study, a large sample of Chinese adolescents reported peer victimization and depressive symptoms in four survey waves at six-month intervals. A total of 2534 adolescents (51.9% boys, M = 12.98 ± 0.60 years) were included in the latent change score (LCS) analysis. The results supported the reciprocal effects model obtained in the full sample. Changes in peer victimization were influenced by prior changes in depressive symptoms over time, and changes in depressive symptoms were influenced by prior levels of peer victimization. There were also gender differences, with boys exhibiting depressive symptom-driven effects on peer victimization, while girls exhibiting peer victimization-induced depressive symptoms. The dynamic relationships between peer victimization and depressive symptoms that promote and constrain each other in adolescents are elucidated in this study. Differentiating effects on boys and girls is crucial for enhancing the effectiveness of practical interventions.