Conducting Quantitative Research in Education by Saiyidi Mat Roni & Margaret Kristin Merga & Julia Elizabeth Morris

Author:Saiyidi Mat Roni & Margaret Kristin Merga & Julia Elizabeth Morris
Language: eng
Format: epub
ISBN: 9789811391323
Publisher: Springer Singapore

The variable name can be typed in directly in the Name field. The same goes with Label. As for the Values field, you will need to enter one value at a time. For example, variable Q4.ReadFreq in the diagram has four values ranging from 1 to 4 (Never, Sometimes, Often and Every Day). In order to indicate which value represents what, you will need click the triple-dot icon in the Value field and enter each of the four values, as per below.

If you choose to specify missing values, you can click the triple dots in the Missing column of each variable. The missing values are usually a result of non-available data or response. For example, some respondents in your sample choose not to answer certain questions in the survey. You can code this missing value with a number. Note that the number you use should be beyond your instrument’s scale. For instance, if you use a five-point Likert’s scale ranging from 1 to 5, the identification for missing value has to be anything below or above the scale range. In the example in the following diagram, we use 99 to identify a missing value. Note that we prefer to use 99 because our demographic data also include age. Although we could use 7 as a code for a missing value, this may be confused with age 7 in our demographic data. Of course, 99 would not be appropriate if we were surveying elderly Australians.

While some researchers choose to leave out the missing value code, we do suggest that this should be recorded. This is because the recoding of a missing value could potentially be a study on its own. You can analyse the missing values to see if there is any peculiar pattern. A systematic missing values in the data can suggest an issue with the instrument that makes the respondents reluctant to respond. If you are at the pilot stage, you could rephrase or remove the question. If you are already collecting data you will keep consistent omissions in mind for future revisions and iterations of your survey tool, and you will include this a potential limitation in your study. You can even initiate a study to find out why the respondents choose not to answer that particular question(s) in your survey instrument.

Download

Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.