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Summary Reliability Analysis Using Spss

Course
- Beschrijvende en Inferentiële Statistiek
- Muis
- 2020 - 2021
- Vrije Universiteit Amsterdam
- Politicologie
14 Flashcards & Notes
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A snapshot of the summary - Reliability Analysis Using SPSS

  • 1 Introduction

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  • What is meant by a scale in social sciences?
    Not the answers on a question ranging from Likert-scales, but a scale that is constructed on the basis of several items measuring more or less the same concept
  • What are the two criteria that are used to verify that the items are actually measuring the concerning concepts?
    The measurement device should be reliable and valid
  • What is reliability and validity?
    Reliability means that an instrument produces consistent results if the same phenomenon is measured repeatedly, validity means that an instrument is measuring what is intended to measure
  • What is the Classical Test Theory?
    It is assumed that a measured test score is the sum of two factors, the true score and the measurement error
  • What are the two methods to estimate the reliability of measurement?
    The test-retest and the coherence between the measurements
  • What is the scope of the test-retest method to measure reliability?
    Simply doing the test again on a later occasion
  • What are the three serious problems attached to the approach of the test-retest method?
    1) this procedure only makes sense if the situation has not changed
    2) respondents might remember their previous given answer or they have learned from something
    3) the cost of doing a second measurement are high, both in terms of time and money
  • What is the aim of coherence between the measurements?
    Asking comparable questions that intend to measure the same characteristic
  • What is the scope of testing the reliability within a Likert-scale?
    If you use the same scale for testing a question, you can use the method of coherence between the measurements to see whether the tested scores have a correlation between them
  • What is the rule of thumb in relation to the number of tests and Cronbach's Alfa?
    The more tests there are, the better random errors counterbalance each other, the more reliable the scale is
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