SPSS For Research

Become an expert in statistical analysis with the most extended SPSS course at Udemy: 146 video lectures covering about 15 hours of video!

Within a very short time you will master all the essential skills of an SPSS data analyst, from the simplest operations with data to the advanced multivariate techniques like logistic regression, multidimensional scaling or principal component analysis.

The good news – you don't need any previous experience with SPSS. If you know the very basic statistical concepts, that will do.

And you don't need to be a mathematician or a statistician to take this course (neither am I). This course was especially conceived for people who are not professional mathematicians – all the statistical procedures are presented in a simple, straightforward manner, avoiding the technical jargon and the mathematical formulas as much as possible. The formulas are used only when it is absolutely necessary, and they are thoroughly explained.

Are you a student or a PhD candidate? An academic researcher looking to improve your statistical analysis skills? Are you dreaming to get a job in the statistical analysis field some day? Are you simply passionate about quantitative analysis? This course is for you, no doubt about it.

Very important: this is not just an SPSS tutorial. It does not only show you which menu to select or which button to click in order to run some procedure. This is a hands-on statistical analysis course in the proper sense of the word.

For each statistical procedure I provide the following pieces of information:

• a short, but comprehensive description (so you understand what that technique can do for you)
• how to perform the procedure in SPSS (live)
• how to interpret the main output, so you can check your hypotheses and find the answers you need for your research)

The course contains 56 guides, presenting 56 statistical procedures, from the simplest to the most advanced (many similar courses out there don't go far beyond the basics).

The first guides are absolutely free, so you can dive into the course right now, at no risk. And don't forget that you have 30 full days to evaluate it. If you are not happy, you get your money back.

So, what do you have to lose?

--- ### Course Overview and Rating The global course rating stands at **4.50**, with all recent reviews reflecting a high level of satisfaction among learners. The majority of the feedback praises the course for its comprehensive coverage of SPSS, its clarity, practical examples, and the depth of knowledge provided by the instructor, Prof. Dr. Bogdan. ### Pros - **Expert Instruction**: The instructor, Prof. Dr. Bogdan Anastasiei, is lauded for having extensive experience with SPSS and excellent teaching skills. - **Comprehensive Content**: The course covers a wide range of topics, including both fundamental and advanced data analysis techniques with SPSS. - **Practical Application**: Learners have found the course to be highly applicable in their professional roles, particularly in statistics and data analysis. - **Real-World Examples**: Many learners appreciate the real-world examples that make complex concepts more accessible. - **High-Quality Instructor**: The instructor is from a recognized university, which sets this course apart from many others available online. - **Professional Development**: Both novices and experienced professionals have found the course beneficial, with some even recommending it for career researchers and teachers. - **Reinforcement of Learning**: The course is praised for its emphasis on repetition, which is key to understanding statistics. - **Positive Impact**: For those who have a background in statistics or are currently teaching it, the course has been described as the best they've encountered online. ### Cons - **Accent Perception**: Some learners did not find the instructor's accent as difficult to understand as others might have, suggesting that this may not be a significant issue for most. - **Lack of Exercises**: A few learners felt there were insufficient practical exercises and opportunities for hands-on application, which could aid in memorization and skill retention. - **Assumption Checking**: Some reviews mention the course could have provided more emphasis on assumption checking within analyses. - **Syntax Learning**: There is a need for more comprehensive guidance on writing SPSS syntax, which is crucial for reproducibility in research and analysis. - **Pacing for Beginners**: A learner with limited statistical knowledge found the course challenging to follow without prior dedication to the subject matter. - **Expectation of Practice Tests**: The absence of practice tests or daily assignments for reinforcement is noted as a missed opportunity for learners to engage more deeply with the material. ### Course Structure and Materials The course is structured into sections that progress from basic to advanced concepts, culminating in a comprehensive understanding of SPSS and its applications in data analysis. The materials provided are described as very helpful, with many learners noting the importance of the takeaway materials for reference. ### Final Thoughts Overall, this SPSS course is highly regarded by the majority of learners who have completed it. It is particularly valued by those in academic and professional roles where statistical knowledge and data analysis skills are essential. While there are some areas that could be improved, such as the inclusion of more practical exercises and a deeper focus on syntax, the course remains a standout option for anyone looking to improve their command over SPSS and data analysis techniques. --- **Note**: It is important for prospective learners to consider their current knowledge level in statistics and whether they have access to additional practice materials outside of the course to complement their learning experience, as some reviewers suggest further practice may be beneficial.