The problem for consideration in this study was an investigation of the effects of two methods of preregistration advisement of junior college freshmen. Specifically, the following questions were posed. What would be the effects on college students of an individual preregistration advisement interview with a member of the professional counseling staff as compared to a group advisement session? Would the advisement interview for students produce differences in (1) the types of majors selected, (2) probabilities of success in declared educational objectives, (3) perceptions of the environment, (4) changes of major, (5) course changes, (6) failures to complete registration, (7) withdrawals during the first eight weeks of classes, and (8) number of course deficiencies reported at mid-semester? An auxiliary consideration was the following. What would be the effects of providing information about technical-occupational programs in the form of brochures?

Yes / Preregistration is the practice of publicly publishing plans on central components of the research process before access to, or collection, of data. Within the context of the replication crisis, open science practices like preregistration have been pivotal in facilitating greater transparency in research. However, such practices have been applied nearly exclusively to basic academic research, with rare consideration of the relevance to applied and consultancy-based research. This is particularly problematic as such research is typically reported with very low levels of transparency and accountability despite being disseminated as influential grey literature to inform practice. Evidence-based practice is best served by an appreciation of multiple sources of quality evidence, thus the current review considers the potential of preregistration to improve both the accessibility and credibility of applied research towards more rigorous evidence-based practice. The current three-part review outlines, first, the opportunities of preregistration for applied research, and second, three barriers - practical challenges, stakeholder roles, and the suitability of preregistration. Last, this review makes four recommendations to overcome these barriers and maximise the opportunities of preregistration for academics, industry, and the structures they are held within - changes to preregistration templates, new types of templates, education and training, and recognition and structural changes.

<p>In this dissertation, I explore the impact of several public policies on civic participation. Using a unique combination of school administrative and public–use voter files and methods for causal inference, I evaluate the impact of three new, as of yet unexplored, policies: one informational, one institutional, and one skill–based. Chapter 2 examines the causal effect of No Child Left Behind’s performance-based accountability school failure signals on turnout in school board elections and on individuals’ use of exit. I find that failure signals mobilize citizens both at the ballot box and by encouraging them to vote with their feet. However, these increases in voice and exit come primarily from citizens who already active—thus exacerbating inequalities in both forms of participation. Chapter 3 examines the causal effect of preregistration—an electoral reform that allows young citizens to enroll in the electoral system before turning 18, while also providing them with various in-school supports. Using data from the Current Population Survey and Florida Voter Files and multiple methods for causal inference, I (with my coauthor listed below) show that preregistration mobilizes and does so for a diverse set of citizens. Finally, Chapter 4 examines the impact of psychosocial or so called non-cognitive skills on voter turnout. Using information from the Fast Track intervention, I show that early– childhood investments in psychosocial skills have large, long-run spillovers on civic participation. These gains are widely distributed, being especially large for those least likely to participate. These chapters provide clear insights that reach across disciplinary boundaries and speak to current policy debates. In placing specific attention not only on whether these programs mobilize, but also on who they mobilize, I provide scholars and practitioners with new ways of thinking about how to address stubbornly low and unequal rates of citizen engagement.</p> / Dissertation

No / This study aims to review the biosciences component of preregistration nursing programmes in higher education institutions across the UK through the experiences and perceptions of lecturers involved in nursing education. Studies suggest that some qualified nurses lack confidence in explaining the bio-scientific rationale for their clinical practice. Biosciences can be difficult to understand and integrate into clinical decision-making and require protected time within preregistration nurse education. In the absence of explicit national guidelines, it is unclear as to the depth and extent biosciences are taught across different institutions and the level achieved at the point of registration. A survey approach was adopted to generate quantitative and qualitative feedback. Data were collected using a semi-structured questionnaire seeking the experiences and views of lecturers involved in teaching biosciences to nursing students across the UK. Data received from 10 institutions were analysed using descriptive statistics and thematic analysis. Lecturers reported that the hours of taught biosciences ranged from 20-113 hours, principally within the first year. This represents between 0.4-2.4% of time within a preregistration nursing programme (4600 hours). Large group lectures predominate, supplemented by smaller group or practical work, and online materials. The biosciences are assessed specifically in half the institutions surveyed and as part of integrated assessments in the rest. In relation to student feedback, all respondents stated that students consistently requested more time and greater priority for biosciences in their programme. This survey suggests that the number of hours spent teaching biosciences is minimal and varies widely between higher education institutions. All respondents expressed concern about the challenges of teaching difficult bio-scientific concepts to large groups in such a limited time and called for greater clarity in national guidelines to ensure that all nurses are adequately educated and assessed in bioscience subjects. Failure to understand the biosciences underpinning care has implications for safe and competent nursing.

Current practices in study design and data analysis have led to low reproducibility and replicability of findings in fields such as psychology, medicine, biology, and economics. Because gifted education research relies on the same underlying statistical and sociological paradigms, it is likely that it too suffers from these problems. This article discusses the origin of the poor replicability and introduces a set of open science practices that can increase the rigor and trustworthiness of gifted education’s scientific findings: preregistration, open data and open materials, registered reports, and preprints. Readers are directed to Internet resources for facilitating open science. To model these practices, a pre peer-review preprint of this article is available at https://psyarxiv.com/nhuv3/.

Die Psychologie und andere empirische Wissenschaften befinden sich in einer Krise, da vielen Forschenden bewusst geworden ist, dass viele Erkenntnisse nicht so stark empirisch gestützt sind, wie sie einst glaubten. Es wurden mehrere Ursachen dieser Krise vorgeschlagen: Missbrauch statistischer Methoden, soziologische Verzerrungen und schwache Theorien. In dieser Dissertation gehe ich davon aus, dass ungenaue Theorien unvermeidlich sind, diese aber mithilfe von Induktion einer empirischen Prüfung unterzogen werden können. Anhand von Daten können Theorien ergänzt werden, sodass präzise Vorhersagen möglich sind, die sich mit der Realität vergleichen lassen. Eine solche Strategie ist jedoch mit Kosten verbunden. Induktion ist daher zwar notwendig, aber führt zu einem übermäßigen Vertrauen in empirische Befunde. Um empirische Ergebnisse adäquat zu bewerten, muss diese Verzerrung berücksichtigt werden. Das Ausmaß der Verzerrung hängt von den Eigenschaften des induktiven Prozesses ab. Einige induktive Prozesse können vollständig transparent gemacht werden, sodass ihre Verzerrung angemessen berücksichtigt werden kann. Ich zeige, dass dies bei Induktion der Fall ist, die beliebig mit anderen Daten wiederholt werden kann, was die Bedeutung von computergestützter Reproduzierbarkeit unterstreicht. Induktion, die die Forschenden und ihr kognitives Modell einbezieht, kann nicht beliebig wiederholt werden; daher kann die Verzerrung durch Induktion nur mit Unsicherheit beurteilt werden. Ich schlage vor, dass die Verringerung dieser Unsicherheit das Ziel von Präregistrierung sein sollte. Nachdem ich die Ziele von Reproduzierbarkeit und Präregistrierung unter dem Gesichtspunkt der Transparenz über Induktion präzisiert habe, gebe ich in den wissenschaftlichen Artikeln, die als Teil der Dissertation veröffentlicht wurden, Empfehlungen für die praktische Umsetzung beider Verfahren. / Psychology and other empirical sciences are in the middle of a crisis, as many researchers have become aware that many findings do not have as much empirical support as they once believed. Several causes of this crisis have been suggested: misuse of statistical methods, sociological biases, and weak theories. This dissertation proposes the following rationale: to some extent, imprecise theories are unavoidable, but they still can be subjected to an empirical test by employing induction. Data may be used to amend theories, allowing precise predictions that can be compared to reality. However, such a strategy comes at a cost. While induction is necessary, it causes overconfidence in empirical findings. When assessing findings, this overconfidence must be taken into account. The extent of the overconfidence depends on the properties of the inductive process. Some inductive processes can be made fully transparent, so their bias can be accounted for appropriately. I show that this is the case for induction that can be repeated at will on other data, highlighting the importance of computational reproducibility. Induction involving the researcher and their cognitive model can not be repeated; hence, the extent of overconfidence must be judged with uncertainty. I propose that reducing this uncertainty should be the objective of preregistration. Having explicated the goals of computational reproducibility and preregistration from a perspective of transparency about induction in the synopsis, I put forward recommendations for the practice of both in the articles published as part of this dissertation.