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Research Methodology

This lecture provides an introduction to SPSS and covers topics such as questionnaire checking, data cleaning, coding, and statistical adjustments. It also teaches how to use SPSS for data entry, generate simple descriptive summaries, and analyze job satisfaction and intention to leave.

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Research Methodology

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  1. Research Methodology Lecture No : 22 Introduction to SPSS

  2. Recap • Questionnaire checking involves eliminating unacceptable questionnaires. • Editing looks to correct illegible, incomplete, inconsistent and ambiguous answers. • Coding typically assigns numeric codes to answers that do not already have them so that statistical techniques can be applied. • Some times we need to treat the missing values.

  3. Recap Cont. • Cleaning reviews data for consistencies. Inconsistencies may arise from faulty logic, out of range or extreme values. • Statistical adjustments applies to data that requires weighting and scale transformations.

  4. objective • How to use SPSS for Data entry • Defining variables • Assigning them values • Assigning sizes and constraints • Data entry using data from coded Questionnaires • How to generate simple descriptive summaries

  5. Intention to Leave Job Satisfaction

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