Ibm spss statistics 21.0 how to#
So how to analyze your data in SPSS? Well, one option is using SPSS’ elaborate menu options.įor instance, if our data contain a variable holding respondents’ incomes over 2010, we can compute the average income by navigating to D escriptive Statistics as shown below.ĭoing so opens a dialog box in which we select one or many variables and one or several statistics we'd like to inspect. Right, so SPSS can open all sorts of data and display them -and their metadata- in two sheets in its Data Editor window. This is generally known as the “codebook” but in SPSS it's called the dictionary.įor non SPSS users, the look and feel of SPSS’ Data Editor window probably come closest to an Excel workbook containing two different but strongly related sheets. Metadata is information about the meaning of variables and data values. It shows the metadata associated with the data. SPSS Variable ViewĪn SPSS data file always has a second sheet called variable view. A more detailed explanation on the exact meaning of our variables and data values is found in a second sheet shown below. For instance, our first record seems to contain a male respondent from 1979 and so on. This sheet -called data view- always displays our data values. SPSS Data ViewĪfter opening data, SPSS displays them in a spreadsheet-like fashion as shown in the screenshot below from freelancers.sav. Let's now have a quick look at what SPSS looks and feels like. spreadsheets from MS Excel or OpenOffice.SPSS can open all file formats that are commonly used for structured data such as
These data may come from basically any source: scientific research, a customer database, Google Analytics or even the server log files of a website.
Ibm spss statistics 21.0 software#
SPSS is software for editing and analyzing all sorts of data. Since SPSS was acquired by IBM in 2009, it's officially known as IBM SPSS Statistics but most users still just refer to it as “SPSS”. SPSS means “ Statistical Package for the Social Sciences” and was first launched in 1968. Defaulting from treatment was associated with non-disclosure of status to a partner (AOR: 2.8 CI 95%: 1.6-4.9), receiving fewer counseling sessions (AOR: 2.3 CI 95%: 1.3-4.2), poor perception of the quality of health care services (AOR: 2.6 CI 95%: 1.4-4.7), suboptimal quality of life (AOR: 2.7 CI 95%: 1.5- 4.8) and the richer wealth index (AOR: 1.8 CI 95%: 1.01-3.18).Ĭonclusion: Inclusion of discussions on disclosure during counseling sessions was recommended to reduce default.SPSS – What Is It? By Ruben Geert van den Berg under Basics The quality of life in the physical domain was 15.3± 3.4 among cases and 16.6☓.0 among controls (p=0.001). ART role in reducing viral load was described correctly by 66 (64.7%) cases and 155 (76.0%) controls (p=0.04). Results:Respondent’s mean age was 41.4☑0.3 years while 61.4% of the respondents were females.
Chi-square test, t-test, and binary logistic regressions were used to identify the predictors of default at a 95% confidence interval. Cases were adults on ART who had defaulted from care and missed at least two consecutive appointments in the last year, while controls were adults on ART who had been consistent with clinic attendance for at least one year. Methods: An unmatched case-control study was conducted among 102 cases and 204 controls at the Federal Medical Centre, Owo, Ondo State, Nigeria. This study identified the factors associated with default from ART and quality of life among PLWHA. Defaulters after commencing ART range between 10-36%.
Background: In Nigeria, over 600,000 people living with HIV/AIDS (PLWHA) are on antiretroviral therapy (ART) as of 2020.
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