SPSS Beginners: Learn SPSS Usage Assignment Help
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SPSS Beginners: Learn SPSS Usage Assignment Help

This SPSS data analysis course was designed with one goal in mind: to assist anyone with no statistics or mathematics background in analysing data in SPSS, selecting the appropriate descriptive statistics technique, and confidently writing up the findings. The course covers everything from entering data into SPSS to interpreting the results, and it provides a simple, step-by-step guide to mastering descriptive statistics in SPSS.

KEY FEATURE

SPSS Statistics is an IBM statistical software suite for data management, advanced analytics, multivariate analysis, business intelligence, and criminal investigation.

SPSS Statistics imposes restrictions on internal file structure, data types, data processing, and matching files, all of which significantly simplify programming.

SPSS is used for processing and analysing survey data collected with an online survey platform like survey companies, government entities, education researchers.

The majority of top research firms use SPSS to analyse survey data and mine text data in order to get the most out of their research and survey projects.

SPSS Beginners: Learn SPSS Usage Assignment Help

Our qualified experts are ready to provide their expertise and assist you with all your SPSS Beginners: Learn SPSS Usage assignments and queries. We are available 24×7! Reach us at any time to get your queries solved.

SPSS Beginners: Learn SPSS Usage Assignment Help

To begin, we will walk you through the SPSS interface, how to use the system, and how to avoid some of the common errors people make when selecting variable types and formats in SPSS. Following that, we will look at entering data into SPSS, sorting, editing, and removing data, and, most importantly, how to use recode functions to transform any variable into a new variable. We will then concentrate on descriptive statistics in SPSS, and you will learn how to perform the major descriptive statistics such as Mean, Median, Mode, Standard Deviation, and One-Samples t-test, among others.
You will learn how to create and manipulate graphs, plots, and charts in SPSS to meet your specific needs.
Finally, we teach you the most important skill that most students wish they possessed: how to select the appropriate statistical technique for data analysis in SPSS. We’ve broken down selecting the right test in SPSS into three easy steps:
  • What is your research question?
  • What is the type of variable and how many do you have?
  • What is the level of measurement of your variables?
Using the three steps outlined above, you will be able to select the appropriate test to analyse your data, and we will also use the flow chart to select the appropriate test for 20 real-life research question examples.
After finishing this course, you will understand when to employ the following inferential statistics techniques:
  • Pearson Correlation
  • Spearman Ranked Order Correlation
  • Kendall’s Tau B Correlation
  • Kruskal Wallis
  • Mcnemar’s Test
  • Chi Square
  • Linear Regression
  • Mutiple Regression
  • Independent Samples T-test
  • Repeated Measures ANOVA
  • Between Subject ANOVA
  • Paired Samples T-test
  • Point Bi-Serial Correlation
  • Mann Whitney U Test
  • Binary Logistic Regression
  • Mixed/Split-Plot ANOVA
  • and so much more.
To ensure that this course is delivered effectively, we use a combination of video materials, slides, template documents, SPSS data, and output files.
If you intend to use SPSS, taking this course may be the best decision you will ever make. It is more than just the content and context; it is also about how the course is delivered and our ability to debunk complex techniques. StatisticsOnlineAssignmentHelp.com believes that if you can’t explain something simply, you don’t understand it well enough. To ensure that you get the most out of this course, we explain everything in plain English. This course should only take a few days to complete, but what you learn will benefit you for the rest of your life.

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Frequenly Asked Questions (FAQs)

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