Validating qualitative research Massive chatsex

Methods: To validate the indicators, qualitative data was collected from experts on disaster recovery.Twenty-one key informant interviews and two focus groups were conducted between January and April of 2014 to solicit feedback from disaster recovery practitioners and academics.This material is based upon work supported by the Coastal Hazards Center of Excellence, a US Department of Homeland Security Science and Technology Directorate Center of Excellence under Award Number: 2008-ST-061-ND 0001 and the Federal Emergency Management Agency’s New York Joint Field Office under Task Order: HSFE01-13-J-0511.

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There are different ways to validate one's research. A peer review is a good way to find out if someone similar to you feels the same way.When they look at your data do they come up with the same observations and conclusions?Recovery from disasters is a critical function administered by federal, state, and local governments, yet measurable, validated indicators of community recovery remain unidentified.As part of an ongoing effort to develop a set of metrics for evaluating community recovery, 21 key informant interviews and two focus groups were conducted between January and April 2014 to solicit feedback from disaster recovery practitioners and academics.The researcher did not initially expect this result but it has been found often enough to now be deemed important.

The researcher should look at this closely and see why an unexpected pattern occurred. There could be an unexpected result that requires more attention and analysis.

All indicators were reviewed independently by two graduate student reviewers to identify duplicates or highly similar indicators as part of the process of reducing the number of total indicators from 651 to 90.

Several methods were used to content validate this final, aggregated set of proposed indicators including: 1) a review of previously content-analyzed pre-disaster recovery (PDR) plans from 87 counties and municipalities located on the U. Atlantic and Gulf coasts; 2) a case study of two communities recently affected by disaster (Hoboken, New Jersey and New Hanover County, North Carolina); and 3) interviews with key informants and expert focus groups (the principal focus of this paper).

Discussion: The proposed recovery indicators can be utilized by both practitioners and researchers to effectively track post-disaster recovery.

They capture many of the complexities of community disaster recovery and provide potential opportunities for linkages to the development of disaster recovery plans and other activities that could increase community resilience in the future.

Introduction: Recovery from disasters is a critical function of federal, state, and local governments, yet measurable, validated indicators of community recovery remain unidentified.