Masoud F.Pour

About Me:

I hold a PhD in Psychology from Cardiff University and a Master of Science in Psychology. Over the past 30 years, I have had the privilege of teaching and applying behavioral statistics and SPSS to both undergraduate and graduate students. My work has involved a wide range of academic and professional engagements, from providing in-depth instruction on statistical methodologies to offering expert guidance on research design and data analysis.

Since 2010, I have had the honor of supervising more than 200 graduate and postgraduate students in their dissertations and theses within the fields of psychology and behavioral sciences. This hands-on experience has allowed me to guide students through the complexities of academic research, helping them achieve clarity in their work and guiding them toward sound statistical practices.

As an online tutor since 2009, I have specialized in helping students tackle challenges related to statistical software, including SPSS and other data analysis packages. Over the years, I have gained a reputation for making complex statistical concepts more accessible and ensuring students gain a deeper understanding of both theoretical and practical aspects of descriptive and inferential statistics.

My expertise spans a wide array of statistical techniques, such as:

Correlations, T-tests, ANOVA and ANCOVA families

Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA)

Various methods of regression analysis

Structural Equation Modeling (SEM)

Non-parametric tests

In addition to these statistical techniques, I am deeply familiar with cognitive psychology and have substantial experience in analyzing cognitive data. I have also worked extensively with cognitive tasks and am adept at applying the most appropriate statistical methods to analyze data derived from these tasks. This includes methodologies such as Signal Detection Theory (SDT), a technique often used to measure the ability to differentiate between information-bearing patterns and random patterns that distract from the relevant information.

Recently, I have expanded my expertise into the field of neurocognitive data analysis, particularly focusing on EEG (electroencephalography) data and eye-tracking data. These advanced research areas present new challenges, but I am excited to continue exploring and analyzing these complex datasets to contribute to the growing field of cognitive and behavioral sciences.