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Kvalitetsbegrepp och riktlinjer för kvalitets - Statistiska centralbyrån

Kvalitetsbegrepp och riktlinjer för kvalitets - Statistiska centralbyrån

Kvalitetsbegrepp och riktlinjer för kvalitets - Statistiska centralbyrån

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Comments on accuracy measures<br />

In planning and decision contexts statistics are often, at least in a first round, used so that<br />

reasoning is carried out under the premise that the statistics provide correct values.<br />

However, many users are aware that they may come to more or less misleading<br />

conclusions by disregarding the uncertainty. Those who want to judge the consequences<br />

of uncertainty are in markedly different situations if uncertainty measures are presented<br />

or not. With accuracy measures available, users who are knowledgeable in statistics can<br />

make well - founded judgements of the possible consequences of the uncertainty, and<br />

thereby make appropriate adjustments to their preliminary conclusions.<br />

Accuracy measures are of relevance not least for estimates of change.<br />

3 TIMELINESS of the statistics<br />

concerns the relation of statistics to the current state of<br />

affairs<br />

Users normally want statistics that describe the "now" situation, timely statistics.<br />

The time between "now" and the reference time plays the central role. It depends on<br />

production time, publication frequency and punctuality.<br />

Comment on timeliness<br />

Another important aspect when judging timeliness of statistics is how fast reality<br />

changes. When judging whether statistics are sufficiently up - to - date, the user combines<br />

the "age" of the statistics with his/her own views on the pace of change in the real world<br />

phenomenon under consideration.<br />

3.1 Frequency<br />

Statistics from recurrent surveys are usually produced according to a regular timetable<br />

(monthly, quarterly, annually, etc.). It is then natural to speak of frequency (or<br />

periodicity).<br />

- Survey frequency is the periodicity of reference times.<br />

- Data collection frequency is the periodicity of the producer's data collection.<br />

- Dissemination frequency is the periodicity with which statistics are published.<br />

Usually the three frequencies agree, but they may differ. Users normally care most<br />

about reference time and dissemination frequencies.<br />

Example<br />

The SCB Investment survey illustrates that the frequencies mentioned<br />

above may differ. This survey collects primary data and publishes statis-<br />

tics three times a year, while quarters are reference periods.<br />

3.2 Production time<br />

Production time concerns the time lag between reference time (reference time point<br />

or end of reference period) and publication time.<br />

3.3 Punctuality<br />

Punctuality concerns the agreement between promised and factual dissemination<br />

times.<br />

Comments on frequency, production time and punctuality<br />

Statistics users are commonly anxious that statistics should be available at the "right<br />

time" (e.g. to a prescribed date for decision taking). For a one - time survey the crucial<br />

component is the production time. For recurrent surveys publication frequency and<br />

punctuality are also important.<br />

For economical statistics which affect financial markets, requirements on punctuality and<br />

simultaneity can be as high as fractions of a second.<br />

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