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Volumn , Issue , 2008, Pages 763-806

Data Collection and Analysis

Author keywords

Assessment criteria: Describe the aspects of performance that will be assessed.; Assessment of learning: Measuring learning achievement, performance, outcomes, and processes by many means.; Assessment standards: Describe the quality of performance on each of the criteria that can be expected of participants at different stages (e.g., age, grade) based on a participant s past performance (selfreferenced), peer group performance (norm referenced), or an objective standard (criterion referenced).; Collective data collection: Obtaining data from individual group members; data are later aggregated or manipulated into a representation of the group as a whole.; Complex performance: Refers to real world activities that require the integration of disparate measurement instrumentation as well as the need for timecritical experimental control.; Direct process measure: Continuous elicitation of data from beginning to end of the (group) process; direct process measures involve videotaping, audiotaping, direct researcher observation, or a combination of these methods.; Group learning process: Actions and interactions performed by group members during the group learning task.; Group: Two or more individuals working together to achieve a common goal.; Holistic data collection: Obtaining data from the group as a whole; as this type of data collection results in a representation of the group rather than individual group member, it is not necessary to aggregate or manipulate data.; Indirect process measure: Discrete measure at a specific point in time during the (group) process; often involves multiple points of data collection; indirect process measures may measure processes, outcomes, products, or other factors related to group process.; Instrumentation: Hardware devices used to assist with the process of data acquisition and measurement.; Mixed methods research: Studies that rely on quantitative and qualitative as well as other methods for formulating research questions, collecting and analyzing data, and interpreting findings.; Online offline measures: Online measures are recorded during task performance, offline measures are recorded after task performance.; Process tracing techniques: Records performance process data such as verbal reports, eye movements, and actions that can be used to make inferences about the cognitive processes or knowledge underlying task performance.; Qualitative research: Sometimes called naturalistic; research on human systems whose hallmarks include researcher as instrument, natural settings, and little manipulation.; Quantitative research: Often conceived of as more traditional or positivistic; typified by experimental or correlational studies. Data and findings are usually represented through numbers and results of statistical tests.; Task complexity: Can be defined subjectively (individual characteristics, such as expertise or perception), objectively (task characteristics, such as multiple solution paths or goals), or as an interaction (individual and task characteristics).

Indexed keywords


EID: 85144933181     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4324/9780203880869-61     Document Type: Chapter
Times cited : (4)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.