Last Updated: Sep 08, 2017 01:04PM EDT
Every survey starts by a headquarters user deciding on the questionnaire (importing the questionnaire from the Designer to the data server) and making assignments to supervisors, which can in turn assign to individual interviewers.
Assignment are orders to subordinate users to take part in the survey. Not only they are directed at a particular user, but most importantly the assignments determine the area of responsibility of that user. So that in the system it is clear that not only interviewers A and B are collecting, say census data, but also that interviewer A is responsible for enumeration areas 1,2,3 and interviewer B for 4,5,6. Of course the responsibilities can be divided not by enumeration areas, but by some other attributes or address components: streets or villages for household surveys, facilities for patient surveys, markets for price surveys, etc.
An assignment is thus comprised of several obligatory components:
1) survey questionnaire - which survey must be conducted, which questionnaire to be used?
2) responsible person - who must perform this task?
3) identifying information - where the interviewers should collect the response?
4) number of interviews - how many interviews must be collected?
The first attribute, survey name never changes: from the time the assignment is created for a particular survey, it stays unchanged throughout the circulation of it in the system.
The person responsible for an assignment may change. The original responsible may be changed to a different person, for example the supervisor may pass an assignment to one of her interviewers, or re-assign an assignment to a different interviewer.
With regards to the third attribute, the identifying information, we can think of assignments as precise or imprecise. Precise assignments have all their identifying questions answered, while imprecise assignments have only some, but not all identifying questions answered. It is typical for an imprecise assignment to result in multiple interviews. In fact this is very natural for survey planners to think in these categories: how many individual households to interview in a particular enumeration area, or how many patients in a particular health facility, etc. This number (capacity, quota) may be known, such as 12 households from enumeration area, or unknown, such as all households located between N.Lincoln Ave, N.Halstedt St, and W.Webster Ave in Chicago, IL.
Of course, the addressing system is different in different countries and for different contexts. But once the questionnaire is designed, it does have one or more identifying questions. When an assignment is made, the headquarters user decides, which questions he can answer, and which ones he leaves unanswered. It becomes the responsibility of the interviewer to fill out all the identifying questions that were not assigned values by the headquarters user that has created the assignment.
For example, if the assignment is to interview 16 households in the city block located between N.Lincoln Ave, N.Halstedt St, and W.Webster Ave in Chicago, IL, then the interviewer may be expected to fill out the fields of the street number, floor, and apartment number as well as the name of the household head. Once this information is entered by an interviewer, it can no longer be changed.
For scenarios where the number of interviews is unknown, an infinite limit may be imposed by setting the number of interviews to -1 (negative one). In this case the interviewer will be able to create as many new interviews as necessary. Both the number of conducted interviews and the number of remaining interviews in an assignment are displayed at interviewer's dashboard. The limit can be revised (increased or decreased) by the headquarters users. During batch upload of interviews, this limit is placed into the variable _quantity. If this variable is not specified, 1 is assumed. The person responsible for the assignment may be specified in the variable _responsible (accepts login names of supervisors or interviewers).
Other attributes of an assignment
I addition to the above attributes, Survey Solutions assigns a unique identifier to each assignment, tracks the date of the creation and last modification of an assignment. The progress of completion is reflected with:
- number of submitted interviews and total interviews for the supervisors/headquarters users, and
- number of created interviews and number of remaining interviews for the interviewers.
It is important to recognize the difference between an assignment and an interview. An assignment is a different entity, and is being tracked in Survey Solutions separately from interviews data. An assignment is thus a permission to instantiate interviews, all of them will be marked by the identifying information contained in the original assignment.
Recall from the basic description of the work of a supervisor is that his two main tasks are managing of the work load of his interviewers and performing quality control of collected interviews. The supervisor is doing them by distributing the assignments (obtained from Headquarters) and by doing quality control (verifying answers, exchanging comments) of the interviews.
Note that assignments are not reflected in the reports on interviews, and they may not be opened for inspection. An assignment may be deleted by the headquarters users, in which case the corresponding card will be removed from the interviewer's dashboard after synchronization. For any incompleted assignments,any interviews that have been already sent to the server by an interviewer are not deleted when an incompleted assignment is deleted, but after synchronization the interviewer will no longer have a possibility to collect data based on such assignment.
Earlier versions of Survey Solutions had two distinct modes of data collection: Sample mode and Census mode.
For users that conducted their surveys in the sample mode, there is little to no distinction with the earlier operation. The same sample preloading files may be used with newer versions, but there is no need (or in fact a possibility) to specify any mode during the questionnaire import.
For users that conducted their surveys in the census mode, there is a change. The change is that the interviewers cannot start working without prior having an assignment, and hence a headquarters user must upload an assignments file with two columns _responsible and _quantity , where _responsible contains names of all interviewers and _quantity is set to -1 (negative one) for each of them. This completely replicates the earlier mode, but the survey planner may decide to involve only part of the interviewers in a particular survey, give them some quotas or partial identifying information for their targets, or otherwise make use of the new powerful assignments management features of Survey Solutions.
G O Y A L B R O T H E R S P R A K A S H A N
Assignments in Mathematics Class X (Term II)
The science which measures the degree of uncertainty is called
There are two types of approaches to the study of probability. These are experimental or empirical approach and theoretical approach.
In the experimental approach to probability, we
nd the probability of the occurrence of an event
by actually performing the experiment a number of
times and record the happening of an event.
In the theoretical approach to probability, we predict the results without actually performing the experiment.
The observations of an experiment are called its
An experiment in which all possible outcomes are known and the exact outcome cannot be predicted
in advance, is called a
means each outcome is equally likely to occur. For example, an unbiased die indicates that each of the outcomes 1, 2, 3, 4, 5 or 6 has equal chances to occur. Throughout this chapter, we shall
assume that all the experiments have equally likely
The theoretical probability of an event E, written as P(E) is dened as
Number of outcomes f
Total number of all possible
ooutcomes of the experiment
IMPORTANT TERMS, DEFINITIONS AND RESULTS
An event having only one outcome of the experiment is called an elementary event.
The sum of the probabilities of all the elementary
events of an experiment is 1.In general for any event EP(E) = 1 – P(not E) = 1 –
= 1 – P(E)or P(E) +
= 1Here the event
representing not E, is called the compliment of the event E.
The probability of the event which is impossible to occur is 0. Such an event is called an
The probability of an event which is sure (or certain) to occur is 1. Such an event is called a
For an event E, we have 0
A die is a well balanced cube with its six faces marked with numbers or dots 1 to 6. When we throw a die we are interested in the number that occurs on the top face.
The pack or deck of playing cards consists of 52 cards, 26 of red colour and 26 of black colour. There are four suits each of 13 cards namely hearts (
), diamonds (
) and clubs (
).Each suit contains ace, king, queen, jack or knave,
10, 9, 8, 7, 6, 5, 4, 3, 2.
There are 4 aces, 4 kings, 4 queens, 4 jacks, 4 tens,
and so on in a pack.
Kings, queens, and jacks are called face cards.
MULTIPLE CHOICE QUESTIONS
A. Important Questions
The theoretical probability P(E) of an event E is dened as : (a)
E(b) P(E) = No. of outcomes favourable to E × No.
of all possible outcomes of the experiment
(d) none of these
Which of the following can be the probability of
an event?(a) – 0.02 (b) 1.4 (c)
Which of the following cannot be the probability
of an event? (a)
(b) 0.2 (c) 4% (d)
Getting a number 8 in a single throw of a die