{"id":3556,"date":"2021-08-28T02:06:16","date_gmt":"2021-08-28T02:06:16","guid":{"rendered":"https:\/\/researchwithfawad.com\/?page_id=3556"},"modified":"2021-09-21T16:23:07","modified_gmt":"2021-09-21T16:23:07","slug":"identifying-and-correcting-data-entry-errors-in-spss","status":"publish","type":"page","link":"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/data-analysis-using-spss\/identifying-and-correcting-data-entry-errors-in-spss\/","title":{"rendered":"Identifying and Correcting Data Entry Errors in SPSS"},"content":{"rendered":"\t\t
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Identifying and Correcting Data Entry Errors in SPSS<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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This tutorials discusses in detail how research can identify data entry errors in SPSS. The tutorial guides the research on how to screen data entry errors and how to locate the data entry errors in SPSS and how to correct the mistakes.<\/p>

For Complete Playlist of SPSS Tutorials, Click Here<\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Data Entry Errors in SPSS\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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Mistakes are common when data is entered into SPSS. Once the data is entered it is recommended that the variables are checked for any mistakes. However, before entering data into SPSS, if the questionnaires are in print format, each of the questionnaires shall be numbered. This is important so that one can refer to the particular questionnaire when making corrections in the data. After the questionnaire is entered in SPSS, the researcher should check its minimum and maximum value and assess if the data is entered correctly for each of the variables. <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Screening and Cleansing the Data in SPSS\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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In order to get accurate results, it is important that the data is free of errors. Unfortunately, data entry is a boring and cumbersome process, this could result in errors. For instance, while entering the Salary of a person the researcher may enter 4000, instead of 40000, this would seriously damage the results when the study requires examining the average income of the population. This makes screening and cleaning of data an important part of the research.<\/p>

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The data screening process involves a number of steps:<\/p>

Step 1: Checking for errors.<\/b> <\/em>First, you need to check each of your variables for scores that are out of range (i.e. not within the range of possible scores).<\/p>

Step 2: Finding and correcting the error in the data file.<\/b> <\/em>Second, you need to find wherein the data file this error occurred (i.e. which case is involved) and correct or delete the value.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Step 1: Checking for Errors<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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When looking for errors in the data, the researcher should look any values that are outside the range of possible values for a variable. For example, if gender is coded 1=male, 2=female, you should not find any scores other than 1 or 2 for this variable. Scores that fall outside the possible range can distort your statistical analyses. To check for errors, you will need to inspect the frequencies for each <\/em>of your variables. This includes all of the individual items that make up the scales. Errors must be corrected before total scores for these scales are calculated.<\/p>

There are a number of different ways to check for errors using SPSS. I will illustrate two different ways, one that is more suitable for categorical variables (e.g. Gender, Occupation) and the other for continuous variables (e.g. age).<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Checking categorical variables for data entry mistakes\n<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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Here we look at the steps to check categorical variables for errors.<\/p>

Process<\/strong><\/p>