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Linking survey data with administrative employment data: The case of the German ALMA survey Manfred Antoni 1Institute for Employment Research (IAB), email: manfred.antoni@iab.deAbstract This study
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Step 1: Review the survey data and identify the variables or data points that need to be linked.
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Step 2: Determine the appropriate linking method based on the nature of the data and the desired outcome.
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Step 3: Prepare the survey data by ensuring it is in the correct format and structure for linking.
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Step 4: Choose a suitable linking tool or software that supports the selected linking method.
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Step 5: Follow the instructions of the linking tool to input and process the survey data.
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Step 6: Validate and verify the linked survey data to ensure accuracy and integrity.
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Step 7: Analyze and interpret the linked survey data to gain insights or make informed decisions.

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Researchers who want to integrate and analyze multiple surveys.
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Data analysts who want to uncover relationships or patterns across different survey datasets.
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Linking survey data is connected with integrating information from different sources to create a comprehensive dataset.
Any entity or individual who collects and combines survey data from multiple sources is required to file linking survey data.
Linking survey data can be filled out by combining and organizing information from surveys into a single dataset.
The purpose of linking survey data is to create a more complete and accurate picture of the subject being studied.
The information reported on linking survey data must include details on the sources of the data, the methods used to combine the data, and any limitations or potential biases in the dataset.
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