The grant is funded by the offices of the Provost and the Vice President for Information Technology to promote innovations including creative pedagogies, active learning and other new and emerging approaches to teaching.
Purdue Momentary Assessment Tool Software To AssessIn addition, they are using the CompareAssess software to assess student work.
Instead of using a point-scale and grading rubric, they are shown two pieces of student work and choose the best one. Purdue Momentary Assessment Tool Series Of PairsA series of pairs are shown progressively, and then an advanced algorithm uses the results to rank, in order, the student work. Strimel and Bartholomew have also partnered with Noble Crossing Elementary in Noblesville, Indiana, and Creekside Middle School in Carmel, Indiana, to test the new approaches to assessment at different grade levels. We believe this will help inform their design process as they both give and receive feedback. If you have trouble accessing this page because of a disability, please contact the Purdue Polytechnic at technewspurdue.edu. Such information is at times crucial for confirming the directionality of correlated variables. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center. For permissions, please email: journals.permissionsoup.com. This article has been cited by other articles in PMC. Abstract Mobile assessment techniques have been used for nearly 3 decades in mental health research, including in investigations of individuals with schizophrenia and other severe disorders. This article reviews the benefits of these data collection strategies relative to traditional self-report or clinician-administered measures administered in hospital or laboratory settings. A detailed discussion of the technical decisions facing researchers in the field is then presented, covering study design issues, questionnaire content development, and choices in hardware and software selection. Following these points, sample recruitment and retention strategies are discussed, as well as the main statistical issues that are necessary to consider in the exploitation of repeated measures data generated by this methodology. Keywords: methodology, ESM, EMA Introduction The capacity of mobile assessment techniques to improve both research and clinical interventions is increasingly recognized by major health foundations around the world, including the National Institutes of Health. Of all health care domains, clinical psychology and psychiatry have been the most active in the use of these methods in order to overcome 2 longstanding barriers in understanding the expression of mental disorders. The first major barrier concerns the important differences between the natural phenomena under study and the methods used in their investigation. This discrepancy is most visible for the assessment of temporal relationships among variables. That is, the expression of many forms of psychopathology are characterized by a relatively short life cycle concerning the period of time in which a specific vulnerability or risk factor may influence the severity of symptoms or the onset of abnormal behavior. Such phenomena are observable over periods that are typically limited to a matter of minutes or hours, while most standard methodologies apply assessments spanning weeks, months, or years. For this reason, traditional self-report and clinician-administered measures that assess global experience or syndrome status rely heavily on retrospective recall. They are therefore unable to examine important but rapidly changing phenomena such as stress reactivity, momentary cognitions or changes in affect, negative and positive reinforcement of abnormal behavior, and many other processes that are temporally proximal to the expression of symptoms. An additional major impediment to understanding mental disorder etiology or symptom expression concerns the ecological validity of the existing literature. For example, laboratory protocols may confirm that alcohol or benzodiazepines block panic attacks in individuals with panic disorder, but this does not demonstrate that the individual would choose to use these substances as a means of self-medication nor that this motivation to use substances would necessary block attacks in situations that cannot be reproduced in the laboratory. ![]() A clearer description of these momentary phenomena in vivo would permit a better understanding of how diverse vulnerabilities for complex mental disorders influence the emergence or exacerbation of psychopathology. Drawing from the experience of researchers in the field, the objective of this article is to present an expert review of the conceptual and methodological issues to consider in using mobile technologies to investigate schizophrenia and other severe mental disorders. Mobile Assessment in Mental Health Research Mobile data collection strategies have been used for nearly 3 decades in mental health research in the goal of overcoming these traditional barriers of time and context. Pioneering work by researchers in the 1980s defined ambulatory methods such as the Experience Sampling Method or ESM 2 (also referred to as Ecological Momentary Assessment or EMA 3 ) as well as provided their first applications to clinical psychiatry. Much of this early work was exploratory or descriptive in nature, such as time-budget studies of the frequency of patient behaviors and activities. The application of mobile data collection to testing theories of etiology rapidly followed over the next decade, and these methods are now increasingly explored as a means of delivering interventions. Concerning technical characteristics, almost all studies conducted in the 1980s and 1990s used paper-based methods where a preprogrammed wristwatch or beeper would signal the patient to complete an assessment form describing their experiences or behavior. These techniques have been applied with success in the study of a wide variety of psychiatric problems including personality disorders, mood disorders, substance abuse, and psychosis. However, paper-based methods have been progressively replaced by computerized assessments that use newer electronic technologies (eg, personal digital assistant PDA micro-computers or smartphones). While both approaches use mobile devices to indicate to subjects the moments throughout the day to provide specific information relative to their behaviors and other data, it is nonetheless important to note that electronic methods have several advantages over paper-based protocols. A principal benefit concerns the capacity of electronic methods to furnish accurate information on the timing of assessments rather than relying on patient estimates of the moment that data were collected.
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