Survey research and design in psychology/Assessment/Data collection and entry/Data entry

Data entry guidelines

Steps

1. Follow the survey administration guidelines to collect 5 cases of data using the

Surveys

These surveys were designed for use by an undergraduate psychology class (Survey Research and Design in Psychology, 2005-2018):

• Time and Stress Questionnaire for University Students v.1 (TSQFUS1)
• The University Student Satisfaction and Time Management Questionnaire v.9 (TUSSTMQ9)
• The University Student Motivation & Satisfaction Questionnaire v.2 (TUSMSQ2)

Students used these surveys to collect data, entry data, and conduct analyses for a lab report.

Using these surveys

These instruments and their items are free to use, adapt etcetera under a Creative Commons Attribution International 4.0 license.

However, be aware that the surveys in their current format are intentionally designed to not be "perfect" so that emerging scholars studying subjects such as "Survey research and design in psychology" can collect data and then practice exploratory factor analysis .

There is also intentionally no scoring key . Factor analysis is recommended to help determine the underlying factor structure and to identify which items to use to calculate composite scores. In other words, there is a latent structure, but you'll need to work it out. For example, for university student motivation, see these suggestions. Composite scores representing underlying constructs can then be used for descriptive statistics and hypothesis testing.

Psychometrics

There are no reported psychometrics for newly developed items and scales in these survey instruments. Where intact, previously published measures were included, psychometrics may be available.

Users of these surveys should be prepared to conduct their own psychometric analyses (factor structure, reliability, and validity) based on their own samples.

See also

• University student motivation.

1. Download the blank SPSS data file: (u000000.sav). Do not change any of the variable properties (e.g., do not add or remove any variables and do not change variable widths or column widths).
2. Rename the data file with your student number - the format of the file name should be, for example, u923374.sav.
3. Give each of the surveys a unique Participant ID (from 1 through 5); put this ID # in the top-right corner of the first page of each survey.
4. Enter all of the data from each of the surveys into the data file template (using the detailed coding information) and save the file.
5. Submit the file via the UCLearn site.
6. Late submissions: IMPORTANT: No late submissions are accepted because the electronic data files are collated and distributed for the lab report immediately after data collection submission closes.

Coding

1. Enter the data for each survey respondent on a single row in the data entry template.
2. Enter exactly what respondents wrote or indicated.
3. For most survey items, this involves entering the number circled by the respondent in the corresponding columns.
4. For categorical variables, use the coding described below (which can also be found on the survey and in the data file value labels). This table also included information about how to enter data for CaseID and the open-ended questions.
5. Missing data should be left as blank
6. Make sure not to add or remove any variables or cases

Table 1.
Guidelines for coding the survey data to be entered

Q#	Variable	Coding
	studentID	Provide the data enterer's student ID number (without the u). This is for data verification purposes and will be removed from the final data file to help ensure anonymity. Make sure to provide this information for each case.
	participantID	Participant ID number (from 1 to 5) that the data enterer allocates to the surveys s/he collected. IDs in the data file must much IDs hand-written in the top-right hand corner on the first page of each of the hard copy surveys.
1	gender01	1 = male; 2 = female; 3 = other
3	type03	1 = school-leaver; 2 = mature-age
4	international04	1 = no; 2 = yes
5	enrol05	1 = part-time; 2 = full-time
6	mode06	1 = on-campus/face-to-face; 2 = online; 3 = flexible; 4 = intensive; 5 = self-paced
7	faculty07	1 = Arts and Design; 2 = Business, Government and Law; 3 = Education, Science, Technology & Maths; 4 = Health; 5 = Double degree; 6 = Other
8	complete08	Express as a number between 0 and 100 (can include decimal places)
10	surveyres10	1 = no; 2 = yes
11	Most helpful time management strategies (timemost111 and timemost112)	Enter full text up to 450 characters each. Do not abbreviate or summarise. Enter what respondents wrote verbatim (e.g., including spelling and grammars).
12	Causes of poor time use (timepoor121 and timepoor122)	Enter full text up to 450 characters each. Do not abbreviate or summarise. Enter what respondents wrote verbatim (e.g., including spelling and grammars).

FAQ

What if I have missing data?

1. If a response is missing, illegible or invalid, leave the relevant cells blank.
2. There is no need to enter a special value (such as 99 or -1) to indicate missing data.

What if a respondent circled two sequential numbers?

1. The most common and accurate/valid way to treat this type of response is to enter a decimal to indicate the mid-point between the response options (e.g., if 4 and 5 were circled, enter 4.5). Another way could be to toss a coin to select one of the two numbers.
2. Note that if the decimal places in SPSS is set to 0 for a variable, then only a whole number will be displayed in each of the cells. However, the decimal value is stored and used, which can be verified by clicking on the cell and checking the full cell content display in the top left corner of the data view.

See also

• Data collection
• Data screening
• Survey administration guidelines

External links

• Combine all .sav files in the given folder.sbs (This is the SPSS Script used by the convener to merge the separate .sav files)