Quantitative Research: Levels of Measurement, Central Tendency, Measures of Dispersion, Descriptive vs Inferential Statistics, and SPSS Interpretation

Written report

TABLE OF CONTENTS
INTRODUCTION...........................................................................................................................3
MAIN BODY...................................................................................................................................3
1. Explaining four levels of measurement by giving example....................................................3
2. Meaning of central tendency and measures of dispersion......................................................3
3. Difference within descriptive and inferential statistics...........................................................4
4. Explain the following points...................................................................................................4
5. Interpretation for the SPSS result............................................................................................5
CONCLUSION................................................................................................................................5
REFERENCES................................................................................................................................7
APPENDIX......................................................................................................................................8

INTRODUCTION
Quantitative research is being referred to as the way of analysing the numeric data and
facts and figures relating to the research problem. Use of quantitative research is important as it
provides precise and accurate information. The current study will outline the different level of
measurement along with dispersion and central tendency. Further it will outline the distinction
between inferential and descriptive and different terms and interpretation of SPSS output.
MAIN BODY
1. Explaining four levels of measurement by giving example
The level of measurement of scale is being referred to as the way through which any
element can be measured. There are different types of level of scale which can used and are as
follows-
 Nominal scale- this is a type of scale which involves least amount of information and
each variable is being assigned with the number. For example, data relating to gender,
marital status.
 Ordinal scale- within this type of level the information can be categorized and ranked
but it cannot be stated about the interval between the ranking. For example, top 5
Olympic medallist
 Interval level- within this type of the scale equal interval within the neighbouring data
points but in this case there is not any true point (Level of Measurement, 2022). For
example, temperature in Fahrenheit
 Ratio level- this is a type of the scale which involves categorising rank and having equal
interval and also there is a true zero- point value which is not in case of interval scale. For
example, height, temperature in Kelvin.
2. Meaning of central tendency and measures of dispersion
The measures of central tendency are being defined as the statistical tool which assist in
deciding a single value for analysing the whole data. this generally involves different types of
tools like the mean, median and mode. all these three tools are assistive to companies and
researcher in analysing the data and infer conclusion from that.