0704-ieps_ssb_5.20.22

0704-IEPS_SSB_5.20.22.docx

MC&FP Family Advocacy Program (FAP) Initial Entry Point Environmental Scan

OMB: 0704-0632

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SUPPORTING STATEMENT – PART B

B.  COLLECTIONS OF INFORMATION EMPLOYING STATISTICAL METHODS

If the collection of information employs statistical methods, it should be indicated in Item 17 of OMB Form 83-I, and the following information should be provided in this Supporting Statement:

1.  Description of the Activity

Describe the potential respondent universe and any sampling or other method used to select respondents.  Data on the number of entities covered in the collection should be provided in tabular form for the universe as a whole and for each of the strata in the proposed sample.  Indicate the expected response rates for the collection as a whole, as well as the actual response rates achieved during the last collection, if previously conducted.

The respondent universe includes DoD civilian employees who work on the nine (9) installations identified for outreach. Deloitte Consulting will conduct brief phone interviews with no more than 360 respondents. This accounts for one (1) stakeholder representing each of the approximately forty (40) entry points through which military family members may seek information or support relating to domestic abuse or child abuse and neglect at the nine (9) installations. Response rate is expected to be about 50 percent, given the distribution of a memo from Military Community Advocacy Directorate leadership describing these activities to all installation commanders.

2.  Procedures for the Collection of Information

Describe any of the following if they are used in the collection of information:

a.  Statistical methodologies for stratification and sample selection;

b.  Estimation procedures;

c.  Degree of accuracy needed for the Purpose discussed in the justification;

d.  Unusual problems requiring specialized sampling procedures; and

e.  Use of periodic or cyclical data collections to reduce respondent burden.

Does Not Apply. Data analysis will be descriptive and will not provide generalizable outcomes on any specific topic.

3.  Maximization of Response Rates, Non-response, and Reliability

Discuss methods used to maximize response rates and to deal with instances of non-response.  Describe any techniques used to ensure the accuracy and reliability of responses is adequate for intended purposes.  Additionally, if the collection is based on sampling, ensure that the data can be generalized to the universe under study.  If not, provide special justification.

The study is an environmental scan and is not intended to be an exhaustive investigation. The report will not involve sampling techniques and will not be statistically biased by DoD civilian employees’ decision to not respond.

Participation is strictly voluntary; respondents may decline to participate or discontinue answering questions at any point. If respondents decline to participate, Deloitte Consulting will ask if anyone else from the office or program is available to answer questions. Deloitte Consulting does not employ statistical approaches to maximize response rates.

4.  Tests of Procedures

Describe any tests of procedures or methods to be undertaken.  Testing of potential respondents (9 or fewer) is encouraged as a means of refining proposed collections to reduce respondent burden, as well as to improve the collection instrument utility.  These tests check for internal consistency and the effectiveness of previous similar collection activities.

The tool has been quality reviewed internally to ensure clarity and accuracy and to ensure it does not take longer to complete than anticipated.

5.  Statistical Consultation and Information Analysis

a. Provide names and telephone number of individual(s) consulted on statistical aspects of the design.

Does Not Apply. The design does not include statistical aspects.

b. Provide name and organization of person(s) who will actually collect and analyze the collected information.

The following Deloitte Consulting team members will support information collection and analysis:  

Barber, Amanda; [email protected]  

Hahn, Elisabeth; [email protected] 

Rose, Makayla; [email protected] 

Katz, Maya; [email protected] 

Hernandez, Dewin; [email protected] 

Hendel, Alex; [email protected] 

Ma, Jess; [email protected]  

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File Created2022-05-27

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