Author: Takdir, S.ST. © Sekolah Tinggi Ilmu Statistik

Describes the overall organization of a data file Describes the overall organization of a data file Description of how data are stored in a file Description of how data are stored in a file Author: Takdir, S.ST. © Sekolah Tinggi Ilmu Statistik

Form: Form: – A questionnaire is a collection of information relating to the same unit of observation (such as ahousehold, person, or factory) – A typical questionnaire consists of an identification section followed by other sections grouped by topic – Each section includes a set of related questions Section: Section: – Any type of questionnaire will have an identification section that uniquely identifies the form – Some sections may occur once per questionnaire while other sections are repeated many times Author: Takdir, S.ST. © Sekolah Tinggi Ilmu Statistik

Questionnaire Identification: Questionnaire Identification: – Uniquely identifies the questionnaire, usually with numeric geographic codes. – The combination of identification codes (such as province, district, village, household) Questions: Questions: – The basic element of the questionnaire – Each section of the questionnaire contains a set of one or more questions being asked for this census or survey Responses: Responses: – The valid options in response to a question are usually listed in the questionnaire. – Some responses are quantitative, such as "size of farm" or "age of person," and some are qualitative, such as "relationship to head of household" or "crop grown." Author: Takdir, S.ST. © Sekolah Tinggi Ilmu Statistik

Responses: Responses: – The valid options in response to a question are usually listed in the questionnaire. – Some responses are quantitative, such as "size of farm" or "age of person," and some are qualitative, such as "relationship to head of household" or "crop grown.“ – Responses can be numeric or alphanumeric Author: Takdir, S.ST. © Sekolah Tinggi Ilmu Statistik

Case: Case: – A case is the primary unit of data in the data file – A case usually corresponds to a questionnaire – some complex applications might have a hierarchical set of questionnaires, or many levels. For example, the main questionnaire may consist of a household roster and other household information, and there may be a separate questionnaire for each woman in the household. Level: Level: – A level is a type of questionnaire – By default, all new dictionaries have one level – However, if you have ahierarchically-structured set of questionnaires, you will probably need to use additional levels – A level can have many records corresponding to different record types Author: Takdir, S.ST. © Sekolah Tinggi Ilmu Statistik

Record: Record: – A record usually corresponds to a section of a questionnaire – Consists of a group of related data items – If a dictionary contains more than one record, then you must use the record type item to identify one record from another in the data file Items: Items: – Contains the response to a question – Related items should be placed in the same record. Value Sets: Value Sets: – The responses in the questionnaire are defined as value sets – The valid values can be defined as individual values or ranges of values. Author: Takdir, S.ST. © Sekolah Tinggi Ilmu Statistik

Record: Record: – A record usually corresponds to a section of a questionnaire – Consists of a group of related data items – If a dictionary contains more than one record, then you must use the record type item to identify one record from another in the data file Items: Items: – Contains the response to a question – Related items should be placed in the same record. Value Sets: Value Sets: – The responses in the questionnaire are defined as value sets – The valid values can be defined as individual values or ranges of values. Author: Takdir, S.ST. © Sekolah Tinggi Ilmu Statistik

Numeric: items can contain numbers or blanks, and they may be negative or positive in value. Numeric values will be right-justified and, if requested, zero- filled. Numeric: items can contain numbers or blanks, and they may be negative or positive in value. Numeric values will be right-justified and, if requested, zero- filled. Alphanumeric: items can contain any character, letter, numeric digit(s), blanks, or special characters. These values will be left-justified and are blank-filled, whether or not "zero-fill" has been selected. Declaring 'M' or 'F' for gender is an example of an alphanumeric value. Alphanumeric: items can contain any character, letter, numeric digit(s), blanks, or special characters. These values will be left-justified and are blank-filled, whether or not "zero-fill" has been selected. Declaring 'M' or 'F' for gender is an example of an alphanumeric value.

Author: Takdir, S.ST. © Sekolah Tinggi Ilmu Statistik