Supplemental Material for Measurement Reactivity and Fatigue Effects in Daily Diary Research With Families

2016 ◽  
Vol 52 (3) ◽  
pp. 442-456 ◽  
Author(s):  
Bridget M. Reynolds ◽  
Theodore F. Robles ◽  
Rena L. Repetti

2018 ◽  
Author(s):  
Shevaun D. Neupert ◽  
Jennifer A. Bellingtier
Keyword(s):  

Author(s):  
Jason Isaacs ◽  
Sean MacKinnon ◽  
Kayla Joyce ◽  
Sherry Stewart

BACKGROUND: Daily diary measurements are a common way to assess substance use behaviours, however researchers and clinicians are often cognizant of assessment reactivity (or “reactivity”) in daily substance use measurement. Reactivity involves changes to behaviours that result simply from self-monitoring those behaviours. When reactivity to substance use measurement has been found to exist, it has been identified both as a possible confound in daily diary research and a potential intervention tool in clinical practice. Reactivity to daily self-monitoring of alcohol and tobacco use has been investigated in prior research, however this research has been inconsistent. Reactivity to daily self-monitoring of cannabis use quantity has yet to be documented at all. METHOD: The current study involved secondary analyses of data from N=88 women who self-monitored their cannabis use for 32 consecutive days (Joyce et al., under review). We examined objective reactivity of cannabis use to daily self-monitoring both for the probability of use each day as well as the quantity of cannabis used on each cannabis-using day. At study completion, participants were asked the degree to which they felt self-monitoring impacted their cannabis use (i.e., subjective reactivity). We explored the reported degree of subjective reactivity, and we examined correspondence between objective and subjective reactivity. RESULTS: Hurdle models were the best fit for the data. Participants’ probability of daily cannabis use and the quantity of cannabis use did not change significantly over the study period. For subjective reactivity, many respondents (45%) reported no subjective reactivity, though a majority (55%) reported some degree of subjective reactivity with 24% reporting moderate or more reactivity. A three-step hierarchical linear model was used to investigate the relationship between objective and subjective reactivity. Time was the only predictor in the first step, subjective reactivity was added as a predictor in the second step, and the time x subjective reactivity interaction was explored in the final step. Subjective reactivity was not found to moderate the relationship between time and cannabis use, although there was a significant relationship between self-reported subjective reactivity and variability of cannabis use across the data collection period. CONCLUSIONS: This study determined that participants who report greater subjective reactivity to cannabis measurement are more likely to demonstrate variability in their cannabis usage. While this study did not find a significant change in cannabis scores over time because of reactivity, the non-significant results are valuable from both a research and a clinical standpoint. For research, the lack of change is an indicator that reactivity is likely not a confounding factor in studies involving cannabis daily diary research. From a clinical perspective, the non-significant change indicates that simply self-monitoring cannabis is unlikely to provide standalone benefits when daily self-monitoring is used in clinical practice. It is relevant to note that our study involved a non-help-seeking sample, and future research could benefit from determining whether cannabis reactivity may be moderated by help-seeking behaviours or motivations to change.


2018 ◽  
Vol 122 (2) ◽  
pp. 451-464 ◽  
Author(s):  
Michael J. Roche ◽  
Nicholas C. Jacobson

Polling suggested that the 2016 United States presidential election affected citizens' mood and stress levels. Yet, polling often fails to employ repeated measurement designs that can capture pre- and post-levels of change within the same person. In this study, undergraduate students ( N = 85) completed a 14-day daily diary where mood, stress, and mental health outcomes were assessed before and after the election. Multilevel modeling revealed an immediate upsurge in anxiety, stress, and poor sleep quality the day after the election, followed by a recovery period indicating these effects were short-lived. Other reactions (anger, fear, marginalization, and experiencing discrimination) evidenced a significant upsurge without a significant recovery. We consider how daily diary research designs like this one could be integrated into college settings to inform counseling center resource allocation, and we also comment on the promise of the daily diary methodology for political research.


Author(s):  
Robin J. Lewis ◽  
Charlotte A. Dawson ◽  
Alexander T. Shappie ◽  
Abby L. Braitman ◽  
Kristin E. Heron

Author(s):  
Shevaun D. Neupert ◽  
Jennifer A. Bellingtier

Daily diary designs allow researchers to examine processes that change together on a daily basis, often in a naturalistic setting. By studying within-person covariation between daily processes, one can more precisely establish the short-term effects and temporal ordering of concrete daily experiences. Additionally, the daily diary design reduces retrospective recall bias because participants are asked to recall events that occurred over the previous 24-hour period as opposed to a week or even a year. Therefore, a more accurate picture of individuals’ daily lives can be captured with this design. When conclusions are drawn between people about the relationship between the predictors and outcomes, the covariation that occurs within people through time is lost. In a within-person design, conclusions can be made about the simultaneous effects of within-person covariation as well as between-person differences. This is especially important when many interindividual differences (e.g., traits) may exist in within-person relationships (e.g., states). Daily diary research can take many forms. Diary research can be conducted with printed paper questionnaires, divided into daily booklets where participants mail back each daily booklet at the end of the day or entire study period. Previous studies have called participants on the telephone to respond to interview questions each day for a series of consecutive days, allowing for quantitative as well as qualitative data collection. Online surveys that can be completed on a computer or mobile device allow the researcher to know the specific day and time that the survey was completed while minimizing direct involvement with the collection of each daily survey. There are many opportunities for lifespan developmental researchers to adopt daily diary designs across a variety of implementation platforms to address questions of important daily processes. The benefits and drawbacks of each method along with suggestions for future work are discussed, noting issues of particular importance for aging and lifespan development.


2006 ◽  
Vol 11 (1) ◽  
pp. 112-118 ◽  
Author(s):  
Howard Tennen ◽  
Glenn Affleck ◽  
James C. Coyne ◽  
Randy J. Larsen ◽  
Anita DeLongis
Keyword(s):  

Cannabis ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 17-30
Author(s):  
Jason Isaacs ◽  
Sean MacKinnon ◽  
Kayla Joyce ◽  
Sherry Stewart

Assessment reactivity involves changes to behaviours from self-monitoring those behaviours (Nelson & Hayes, 1981). In the substance use field, reactivity has been identified both as a potential confound in daily diary research (Cohn et al., 2015) and as a possible intervention tool in clinical practice (Cohn et al., 2018). Reactivity to daily self-monitoring of alcohol and tobacco use has been inconsistent in prior research. Reactivity to daily self-monitoring of cannabis use quantity has received far less study. This study involved secondary analyses of data from N = 88 females who self-monitored their cannabis use for 32 days. We examined objective reactivity of cannabis use to daily self-monitoring by assessing changes in daily cannabis use over 32 days. We also explored participants’ perceptions of the impact daily self monitoring had on their cannabis use at study completion (i.e., subjective reactivity). In hurdle models testing objective reactivity, neither probability of cannabis use, nor quantity of cannabis use, changed significantly over the study period. Many respondents (45%) reported no subjective reactivity, though a slight majority (55%) reported some subjective reactivity. Subjective reactivity did not moderate objective reactivity over time; however, higher subjective reactivity was significantly associated with increased variability (interquartile range [IQR]) in cannabis use across the self-monitoring period. Overall, reactivity appears unlikely to confound research utilizing daily diary cannabis measures, and daily self-monitoring of cannabis use may be unlikely to serve as a useful stand-alone intervention for reducing cannabis use in non-treatment-seeking individuals. Potential clinical implications of the novel finding of a link between subjective reactivity and objective cannabis use variability are discussed.


2020 ◽  
Vol 102 ◽  
pp. 106198 ◽  
Author(s):  
Anne Buu ◽  
Songshan Yang ◽  
Runze Li ◽  
Marc A. Zimmerman ◽  
Rebecca M. Cunningham ◽  
...  

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