Analyzing and Interpreting Datadoi:10.4135/9781071802694.n10Susan R. JonesVasti TorresJan L. ArminioEPNegotiating the Complexities of Qualitative Research in Higher Education
and other kinds of data into research results that help people understand their world more fully and facilitate problem solving. Using methods common to qualitative and quantitative methods, this slim volume discusses ways of organizing, retrieving, rendering manageable, and interpreting the data through...
Learning in focus groups groups would facilitate the deliberate exploitation of group processes in designing focus groups, staging data collection and analysing and interpreting data. Wh... Victoria,Wibeck,Madeleine,... - 《Qualitative Research》 被引量: 17发表: 2016年 North and South Latin America...
Analyzing and interpreting the results of randomized experiments involves organizing data, and processing it with analytical tools according to the research goals. Learn how features of the randomized experiment inform this process and its results. ...
When analyzing and interpreting data from an epidemiologic study where ordinal (ordered categorical) outcomes have been measured in different exposure groups, an effect parameter of interest is the common odds ratio implied by the propor... U Strbmberg 被引量: 0发表: 2005年 Factor-analyzing Liker...
It may sound like common sense, but it is important when analyzing and interpreting data that you keep your eye on the prize. In other words, why did you decide to embark on a plan of market research to begin with, and what research goals did you have in mind? One market research stu...
A Visual Analytics Platform and Advanced Visualization Tools for Interpreting and Analyzing Wind Energy Time-Series Data - ScienceDirectThe Bonneville Power Administration (BPA) connects nearly 5,100 MW of wind energy to its transmission ... George,ChinJr.,Yousu,... - IFAC-PapersOnLine 被引量: ...
We found that (1) different data collection methods elicited more overall adaptations, (2) multiple data collection methods provided understanding of the components of and reasons for adaptation, and (3) analytic methods revealed ways that adaptation components cluster together in unique patterns produci...
Synthesisinvolves interpreting research data and pulling out insights and key findings that can be used to impact decisions. Synthesis may follow once all the analysis is done, or the two processes might happen more or less in tandem, depending on the methods you use at this stage. ...
Chapter 3: Statistical methods for cohort data Lesson 1: Statistical analyses for cohort studies Lesson 2: Adjustment, confounding, and model building Lesson 3: Testing for interactions and sensitivity analyses Lesson 4: Tidying and interpreting model results ...