Can money buy control of Congress?

Can a political party spend enough across electoral campaigns to garner a majority within the U.S. Congress? Prior research on campaign spending minimizes the importance of campaign heterogeneity and fails to aggregate effects across campaigns, rendering it unable to address this question. Instead, we tackle the question with a system-level analysis of campaign expenditures. First, using a flexible machine learning approach, we show that spending has substantial and nonlinear marginal effects on outcomes at the level of the campaign. Second, by aggregating these effects to the entire U.S. Congress, we show that large seat swings that change congressional control have, in the past, been possible for expenditure levels consonant with those presently observed after having removed the most extreme levels. However, this possibility appears to have faded over the past decade. Our approach also allows us to illustrate the often significant effects that eliminating campaign spending could have.

Provider communication contributes to colorectal cancer screening intention through improving screening outcome expectancies and perceived behavioral control.

Colorectal cancer (CRC) screening continues to be underutilized in the US despite the availability of multiple effective, guideline-recommended screening options. Provider recommendation has been consistently shown to improve screening completion. Yet, available literature provides little information as to how specific information providers communicate influence patient decision-making about CRC screening. We tested the pathways through which information communicated by providers about the "Why" and "How" of CRC screening using the mt-sDNA test contributes to intention to complete the test. Data came from a behavioral theory-informed survey that we developed to identify psychosocial factors associated with mt-sDNA screening. RTI International administered the survey between 03/2022-06/2022 to a sample of US adults ages 45-75 who received a valid order for mt-sDNA screening with a shipping date between 5/2021-9/2021. Participants completed an electronic or paper survey. We tested the proposed relationships using structural equation modeling and tested indirect effects using Monte Carlo method. A total of 2,973 participants completed the survey (response rate: 21.7%) and 81.6% (n = 2,427) reported have had a conversation with their health care provider about mt-sDNA screening before the test was ordered. We found that "Why" information from providers was positively associated with perceived effectiveness of mt-sDNA screening, while "How" information was positively associated with perceived ease of use. "Why" information contributed to screening intention through perceived effectiveness while "How" information contributed to screening intention through perceived ease of use. These findings emphasize the critical role of provider communication in shaping patient decision-making regarding CRC screening. CRC screening interventions could consider implementing provider-patient communication strategies focusing on improving patient understanding of the rationale for CRC screening and the effectiveness of available screening options as well as addressing barriers and enhancing patients' self-efficacy in completing their preferred screening option.

Attitudes and Experiential Factors Associated with Completion of mt-sDNA Test Kit for Colorectal Cancer Screening.

Colorectal cancer (CRC) is the third leading cause of cancer-related deaths in the United States. Despite the availability of multiple screening options, CRC screening is underutilized. We conducted a survey of patients (n = 2973) who were prescribed the multi-target stool DNA (mt-sDNA) screening test (commercialized as Cologuard® and manufactured by Exact Sciences Corporation) to understand attitudes and experiences that influence test completion and likelihood of future test completion. Using exploratory factor analyses, we developed three scales: Perceived Effectiveness, Perceived Ease of Use, and Perceived Comfort.

Data of worldwide observational studies of adults with accelerometry-measured physical activity and sedentary behavior.

A compendium of observational studies of adults that collected accelerometry to assess physical activity and sedentary behavior (i.e., physical behaviors) could facilitate cross-study comparisons, meta-analyses, and future research collaborations. Therefore, we performed a systematic search to identify observational studies, including surveillance systems, that collected accelerometry-measured physical activity and sedentary behavior among adults. We performed a search using PubMed, Web of Science, and SPORTDiscus for studies published on or before June 1, 2021. After screening 5686 abstracts and 1027 full text articles, we included 155 unique studies that collected accelerometry on at least 500 adults 18 years or older. Most studies used one accelerometer (n=146), although eight studies used two accelerometers and one study used four accelerometers. The country of data collection, age range, and accelerometer characteristics were abstracted and checked by a second reviewer. These datasets summarizing relevant observational studies of adults can be a resource to researchers seeking to identify data sources for accelerometer-measured physical activity and sedentary behavior from around the world.

Negativity bias, personality and political ideology.

Research suggests that right-wing ideology is associated with negativity bias: a tendency to pay more attention and give more weight to negative versus positive stimuli. This work typically relies on either self-reported traits related to negativity bias in large, often-representative, samples or physiological and behavioural indicators of negativity bias in small convenience samples. We extend this literature and examine the relationship of negativity bias to political ideology using five distinct behavioural measures of negativity bias in four national samples of US residents with a total analytical sample size of about 4,000 respondents. We also examine the association of these behavioural measures to four of the most common self-report measures of personality in the literature on ideology. Across a wide range of tests, we find no consistent evidence for a relationship of negativity bias to either ideology or self-reported personality.

Effects of additional context information in prescription drug information sheets on comprehension and risk and efficacy perceptions.

OBJECTIVE: To determine how additional explanatory text (context) about drug side effects in a patient medication information handout affected comprehension and perceptions of risk and efficacy. METHODS: We conducted an online experiment with a national sample of 1,119 U.S. adults with rheumatoid arthritis and related conditions, sampled through random-digit dialing, address-based sampling, and online ads. We randomized participants to receive one of several versions of a patient information handout for a fictitious drug, either with or without additional context, then measured comprehension and other outcomes. RESULTS: Additional qualitative context about warnings and side effects resulted in lower comprehension of side effect information, but not information about uses of the drug or warnings. The effect of additional context on risk perceptions depended on whether the medication handout was delivered online or through the mail. Those who received a hardcopy of the handout with additional context had higher perceived risk of side effects than those who saw the version without additional context. CONCLUSION: More clarifying information is not always better and may lead to cognitive overload, inhibiting comprehension. PRACTICE IMPLICATIONS: Additional research should further explore effects of context in online vs. hard-copy formats before practice implications can be determined.

Leveraging Auxiliary Information on Marginal Distributions in Nonignorable Models for Item and Unit Nonresponse.

Often, government agencies and survey organizations know the population counts or percentages for some of the variables in a survey. These may be available from auxiliary sources, for example, administrative databases or other high quality surveys. We present and illustrate a model-based framework for leveraging such auxiliary marginal information when handling unit and item nonresponse. We show how one can use the margins to specify different missingness mechanisms for each type of nonresponse. We use the framework to impute missing values in voter turnout in a subset of data from the U.S. Current Population Survey (CPS). In doing so, we examine the sensitivity of results to different assumptions about the unit and item nonresponse.