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Descriptive Analysis of Psychological Data

In: Statistics and Research Methods in Psychology with Excel

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  • J. P. Verma

    (Lakshmibai National Institute of Physical Education, Department of Sport Psychology)

Abstract

Understanding the nature of research data requires knowledge of different measures of central tendency and variability. Invariably mean and standard deviation are reported in research papers, but if the data is skewed, reporting these statistics may give the incorrect picture. In converting raw data into class intervals, identity of each score is lost due to which different statistics are computed using some assumptions which have been discussed by using examples. To show how the variability plays an important role in research, the coefficient of variation and the standard error have been thoroughly described. Percentile is another index which can be used to draw meaningful conclusion from the data. For instance, if P40 for the weight data is 160lbs for a group A and 130lbs for group B, then one may interpret that the subjects in group A are heavier in comparison with group B. In this chapter, different types of measures of central tendency and variability along with percentile and percentile rank have been extensively discussed.

Suggested Citation

  • J. P. Verma, 2019. "Descriptive Analysis of Psychological Data," Springer Books, in: Statistics and Research Methods in Psychology with Excel, chapter 0, pages 71-133, Springer.
    • Handle: RePEc:spr:sprchp:978-981-13-3429-0_3
    DOI: 10.1007/978-981-13-3429-0_3
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