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Data Collection Forms and Data Quality
In this lecture ´´Data Collection´´ is explained. Section one is about ‘’Data Collection Forms and Data Quality’’. In the very first slide of this section educator explains what data collection forms and types of data collection forms are. Then general guidelines for all forms are discussed. Following this guidelines for paper forms are pursued. Moving onward, educator tells about electronic data capture. Afterwards, anonymity and confidentiality are highlighted. Subsequently, piloting is reported. Next focus is data quality. Lastly, suggestions to ensure data quality are given.
Form Filling and Coding
Section two is about ‘’Form Filling and Coding’’. This section is started by giving instructions on form filling. After that importance of coding is highlighted. Then information is revealed on choosing the codes. Following this explanation continues on missing data. Then educator gives examples of questions with possible coding. Finally, care in the statistical analysis is discussed.
Section three is about ‘’Designing Questions’’. Educator gives information on designing questions and tells that designing questions is an art as much as it is a science. Then facts are focused. After that opinions/ views and feelings comes under consideration. Following this, facts and opinions are viewed comparatively. Moreover, educator focuses open ended questions and close ended questions. Additionally, educator gives comprehensive information regarding designing good questions.
Section four is about ‘’Designing Questionnaires’’. Initially, educator tells that how important it is to design a proper layout of a questionnaire. After that, discussion continues on using an existing questionnaire that would be time saving and easy to use. Then Likert scales are explained. Scoring and statistical analysis of Likert scale data is delivered. Other Response Scales are also explained. Moreover, visual analogue scale along with its advantages and disadvantages is discussed. This is followed by numeric rating scale. Finally, choice of scale i.e. categorical scale or VAS is made.
Psychometrics, Validity and Reliability
Section five is about ‘’Psychometrics, Validity and Reliability’’. Educator’s prime focus is the elucidation of designing a new measurement tool: psychometrics. In the next slide, face & content validity is discussed. After that empirical validity is pursued. Then reliability and stability are explained. Moving onward, internal consistency: Cronbach’s alpha comes under consideration. Afterwards, measuring reliability-continuous data is highlighted. This is followed by measuring reliability-categorical data.