Tools   Select Another Resource Report Type

http://psychology-tools.com/autism-spectrum-quotient/

A 50 question psychological assessment that measures the symptoms of autism in adults, children and adolescents.

Proper citation: Autism-Spectrum Quotient (RRID:SCR_003639) Copy   

•   Source: SciCrunch Registry

http://www.catstests.com/Product07.htm

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. The modifiable n-Back test is free software presumed to measure executive control of the updating of information in working memory. The task requires the participant to monitor some dimension (e.g. content, position, numerosity) of a temporally present sequence of items, responding when the currently presented item matches on the relevant dimension an item that was just recently presented. The match can be with an item present either 1 back, 2 back, 3 back or n back. Considerable flexibility is provided to the experimenter in specifying various parameters of the experiment (e.g. presentation rate, n back, content, position, color). The n-Back test is presumed to measure executive control of the updating of information in working memory. (Shimamura, 2000) Watter, Geffen and Geffen (2001) based on their work with the P300 event-related-potential have suggested that the n-Back is a dual task in that latencies of the P300 did not change with increasing task difficulty, that is memory load while amplitude did reflecting in their view a reallocation of attention and processing capacity away from the matching subtask. The n-Back task is one in which the participant is presented a series of stimuli at a constant rate. The task of the participant is to determine if the currently presented stimulus is similar (along some dimension) to one they have recently (usually one, two or three positions back) seen in the stream. Match criteria can be dimensions like material, position on the screen, color or some combination. CATs n-Back allows for substantial control over the position in which the material is presented (nine different positions), the nature of the material (any character or dingbat string, and any color. The experimenter can set the speed at which the sequence is presented including both the stimulus on time and the inter-stimulus interval. Participant responses can be made either using the keyboard or the mouse. At this time no normative data is available for this test.

Proper citation: Colorado Assessment Tests: n-Back (RRID:SCR_003517) Copy   

•   Source: SciCrunch Registry

http://psychology-tools.com/spin/

A 17-item self-administered assessment questionnaire developed by the Psychiatry and Behavioral Sciences Department at Duke University effective in screening for and measuring the severity of social anxiety disorder. Each question is answered with one of 5 responses ranging from Not at All to Extremely. Each response is assigned a score and then totaled at the end. Scoring: * 0-20 Little or No Anxiety * 21-30 Mild Anxiety * 31-40 Moderate Anxiety * 41-50 Severe Anxiety * 51-68 Very Severe Anxiety

Proper citation: Social Phobia Inventory (RRID:SCR_003673) Copy   

•   Source: SciCrunch Registry

https://www.onlinetherapyuser.ca/assessment/pdss-sr

A self-administered assessment used to detect possible symptoms of panic disorder and suggest the need for a formal diagnostic assessment. It consists of seven items (which are rated from 0-4). The items assess panic frequency, distress during panic, panic-focused anticipatory anxiety, phobic avoidance of situations, phobic avoidance of physical sensations, impairment in work functioning, and impairment in social functioning. The overall assessment is made by a total score, which is calculated by summing the scores for all seven items. The total scores range from 0 to 28. The PDSS-SR is used for screening and the scores 9 and above suggest the need for a formal diagnostic assessment. (Adapted from Wikipedia)

Proper citation: Panic Disorder Severity Scale - Self-Report (RRID:SCR_003671) Copy   

•   Source: SciCrunch Registry

http://cra.curtin.edu.au/local/docs/delirium_training_package/ManagementOfConfusionFinalMarch09/module02/amt-form.pdf

A 10 question assessment to assess elderly patients for the possibility of dementia. The test has utility across a range of acute and outpatient settings. It takes five minutes to administer and must include all 10 questions. A score of less than 7 or 8 suggests cognitive impairment. Scoring: * 7-10 (correct) No Cognitive Impairment * 6-0 (correct) Cognitive Impairment, THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Abbreviated Mental Test Score (RRID:SCR_003677) Copy   

•   Source: SciCrunch Registry

http://portal.ncibi.org/gateway/saga.html

SAGA (Substructure Index-based Approximate Graph Alignment) is a tool for querying a biological graph database to retrieve matches between subgraphs of molecular interactions and biological networks. SAGA implements an efficient approximate subgraph matching algorithm that can be used for a variety of biological graph matching problems such as the pathway matching SAGA uses to compare pathways in KEGG and Reactome. You can also use SAGA to find matches in literature databases that have been parsed into semantic graphs. In this use of SAGA, portions of PubMed have been parsed into graphs that have nodes representing gene names. A link is drawn between two genes if they are discussed in the same sentence (indicating there is potential association between the two genes). SAGA lets you match graphs between different databases even though the content is distinct and the databases organize pathways in different ways. This cross-database matching is achieved by SAGA's flexible approximate subgraph matching model that computes graph similarity, and allows for node gaps, node mismatches, and graph structural differences. Comparing pathways from different databases can be a useful precursor to pathway data integration. SAGA is very efficient for querying relatively small graphs, but becomes prohibitory expensive for querying large graphs. Large graph data sets are common in many emerging database applications, and most notably in large-scale scientific applications. To fully exploit the wealth of information encoded in graphs, effective and efficient graph matching tools are critical. Due to the noisy and incomplete nature of real graph datasets, approximate, rather than exact, graph matching is required. Furthermore, many modern applications need to query large graphs, each of which has hundreds to thousands of nodes and edges. TALE is an approximate subgraph matching tool for matching graph queries with a large number of nodes and edges. TALE employs a novel indexing technique that achieves a high pruning power and scales linearly with the database size.

Proper citation: Substructure Index-based Approximate Graph Alignment (RRID:SCR_003434) Copy   

•   Source: SciCrunch Registry

http://psychology-tools.com/yale-brown-obsessive-compulsive-scale/

Self-rating scale to assess the severity and type of symptoms in patients with obsessive-compulsive disorder (OCD). Each question is to be answered based on the average occurrence of each item over the past week. The first 5 questions relate to obsessive thoughts, the last 5 questions relate to compulsive behaviors. Scoring: * 07 Sub-Clinical * 815 Mild * 1623 Moderate * 2431 Severe * 3240 Extreme

Proper citation: Yale-Brown Obsessive Compulsive Scale (RRID:SCR_003676) Copy   

•   Source: SciCrunch Registry

http://integrativemodeling.org/

An open source C++ and Python toolbox for solving complex modeling problems, and a number of applications for tackling some common problems in a user-friendly way. Its broad goal is to contribute to a comprehensive structural characterization of biomolecules ranging in size and complexity from small peptides to large macromolecular assemblies, by integrating data from diverse biochemical and biophysical experiments. It can also be used from the Chimera molecular modeling system, or via one of several web applications.

Proper citation: Integrative Modeling Platform (RRID:SCR_002982) Copy   

•   Source: SciCrunch Registry

http://www-lecb.ncifcrf.gov/NCISEM97/ncisem18.html

The Flicker image viewer is a Java applet which reads two images from the Internet and then displays them in the your Web browser. It allows you to enhance them in various ways and to compare them visually in a third window called the flicker window. The Open-source Flicker downloadable application is now available. The program uses the "flicker method" used in GELLAB with and with Xconf. The flicker method is the alternate display in the same visual space of two images being compared which are aligned by aligning similar morphologic features. Images may first be enhanced by spatial warping, pseudo 3-Dimensional projections, image sharpening, contrast enhancement and other transforms. The transformed images may then be presented using flickering. Flicker is a method for comparing images from different Internet sources on your Web browser. Scientists around the world often work on similar image data. More of this data is being published on the Internet each year. In the case of 2D protein electrophoretic gel images, maps identifying proteins in these gels are becoming increasingly available. Visually comparing 2D sample gels against these 2D gel database maps may suggest putative protein spot identification in many cases. Flicker was originally developed for comparing 2D protein gels across the Internet.

Proper citation: NCI Flicker Web Server. (RRID:SCR_003390) Copy   

•   Source: SciCrunch Registry

http://psychology-tools.com/cage-alcohol-questionaire/

4-item questionnaire, where the name is an acronym of its four questions, that can indicate potential problems with alcohol abuse and has been extensively validated for use in identifying alcoholism. It has been determined that CAGE test scores >=2 had a specificity of 76% and a sensitivity of 93% for the identification of excessive drinking and a specificity of 77% and a sensitivity of 91% for the identification of alcoholism. The most important question in the questionnaire is the use of a drink as an Eye Opener, so much so that some clinicians use a yes to this question alone as a positive to the questionnaire; this is due to the fact that the use of an alcoholic drink as an Eye Opener denotes abuse since the patient is going through withdrawal in the morning, hence the need for a drink as an Eye Opener.(Adapted from Wikipedia) Scoring: * 2 (or more) yes responses indicates the possibility of alcoholism

Proper citation: CAGE Questionnaire (RRID:SCR_003702) Copy   

•   Source: SciCrunch Registry

http://psychology-tools.com/young-mania-rating-scale

An eleven-item, multiple-choice diagnostic questionnaire which psychiatrists use to measure the severity of manic episodes in patients. The scale was originally developed for use in the evaluation of adult patients who were suffering from bipolar disorder, but has since been modified for use in pediatric patients. A similar scale was then developed to allow clinicians to interview parents about their children's symptoms, in order to ascertain a better diagnosis of mania in children. Clinical studies have demonstrated the effectiveness of the parent version of the scale. The scale provided is in a slightly reworded form as a self-assessment. This may not be as accurate when self-administered, as people suffering from mania are often unable to properly assess relevant outward symptoms.

Proper citation: Young Mania Rating Scale (RRID:SCR_003700) Copy   

•   Source: SciCrunch Registry

http://psychology-tools.com/gad-7/

A seven item assessment to measure the severity of a patient's anxiety. The test is self administered and cannot be used to replace a proper clinical assessment and additional evaluations.

Proper citation: Generalized Anxiety Disorder 7 (RRID:SCR_003666) Copy   

•   Source: SciCrunch Registry

https://pdbp.ninds.nih.gov/assets/crfs/Hamilton%20Anxiety%20Rating%20Scale%20(HAM-A).pdf

Assessment scale to assess the severity of symptoms of anxiety in adults, adolescents and children. The scale consists of 14 items, each defined by a series of symptoms, and measures both psychic anxiety (mental agitation and psychological distress) and somatic anxiety (physical complaints related to anxiety). Although the HAM-A remains widely used as an outcome measure in clinical trials, it has been criticized for its sometimes poor ability to discriminate between anxiolytic and antidepressant effects, and somatic anxiety versus somatic side effects. The HAM-A does not provide any standardized probe questions. Despite this, the reported levels of inter-rater reliability for the scale appear to be acceptable. The scale has been translated into: Cantonese for China, French and Spanish. An IVR version of the scale is available from Healthcare Technology Systems.

Proper citation: Hamilton Anxiety Rating Scale (RRID:SCR_003664) Copy   

•   Source: SciCrunch Registry

http://psychology-tools.com/binge-eating-scale/

A 16 item questionnaire used to assess the presence of binge eating behavior indicative of an eating disorder that was devised specifically for use with obese individuals. The questions are based upon both behavioral characteristics (e.g., amount of food consumed) and the emotional, cognitive response, guilt or shame. Each question has 3-4 separate responses assigned a numerical value. The score range is from 0-46: * < 17 Non-Binging * 18-26 Moderate Binging * 27 and greater Severe Binging (Adapted from Wikipedia)

Proper citation: Binge Eating Scale (RRID:SCR_003694) Copy   

•   Source: SciCrunch Registry

http://www.1000livesplus.wales.nhs.uk/sitesplus/documents/1011/ABOS.pdf

A thirty-item diagnostic scale devised to be answered by the parents, spouse or other family member of an individual suspected of having an eating disorder. The questions address three factors; unusual eating behavior, bulimic-type behavior and hyperactivity. The ABOS however does not address the frequency of the observed behavior. The ABOS is scored on a range of from 0-60. There are three possible answers provided per question, each assigned a numerical value: two points for yes, zero for no, and one for don't know. (Adapted from Wikipedia) Scoring: * 0-10 Non-Anorexic * 11-20 Retest Required in 2 Months * 21-30 Anorexic Eating Detected, More Testing Required * 31-60 Severe Anorexia, Seek Professional Guidance. THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 27,2026.

Proper citation: Anorectic Behavior Observation Scale (RRID:SCR_003693) Copy   

•   Source: SciCrunch Registry

http://www.geneticepi.com/Research/software/software.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 16,2023. Software application (entry from Genetic Analysis Software).

Proper citation: MILD (RRID:SCR_003335) Copy   

•   Source: SciCrunch Registry

http://www4.parinc.com/Products/Product.aspx?ProductID=EDI-3

A self-report questionnaire used to assess the presence of eating disorders, anorexia nervosa, bulimia nervosa, and eating disorder not otherwise specified including Binge Eating Disorder (BED). The original questionnaire consisted of 64 questions, divided into eight subscales. There have been two subsequent revisions by Garner; Eating disorder inventory-two (EDI-2) and Eating disorder inventory-three (EDI-3). (Adapted from Wikipedia) The EDI-3 consists of 91 items organized into 12 primary scales: Drive for Thinness, Bulimia, Body Dissatisfaction, Low Self-Esteem, Personal Alienation, Interpersonal Insecurity, Interpersonal Alienation, Interoceptive Deficits, Emotional Dysregulation, Perfectionism, Asceticism, and Maturity Fears.

Proper citation: Eating Disorder Inventory (RRID:SCR_003696) Copy   

•   Source: SciCrunch Registry

http://linkage.rockefeller.edu/pawe3d/

Software application (entry from Genetic Analysis Software)

Proper citation: PAWE-3D (RRID:SCR_003326) Copy   

•   Source: SciCrunch Registry

http://www.lead-dbs.org/

MATLAB toolbox for deep-brain-stimulation (DBS) electrode reconstructions and visualizations based on postoperative MRI and computed tomography (CT) imaging. The toolbox also facilitates visualization of localization results in 2D/3D, analysis of DBS-electrode placement's effects on clinical results, simulation of DBS stimulations, diffusion tensor imaging (DTI) based connectivity estimates, and fiber-tracking from the VAT to other brain regions (connectomic surgery).

Proper citation: LEAD-DBS (RRID:SCR_002915) Copy   

•   Source: SciCrunch Registry

http://microarray.ym.edu.tw:8080/tools/module/set/index.jsp?mode=home

A Java tool to evaluate and visualize the sample discrimination abilities of gene expression signatures. This tool provides a filtration function for signature identification and lies between clinical analyses and class prediction (or feature selection) tools.

Proper citation: SET (RRID:SCR_003605) Copy   

•   Source: SciCrunch Registry