SEM Services Using IBM Amos

We offer transparent and competitive pricing for our statistical consulting services. Whether you are working on a Master’s thesis or a Doctoral dissertation, you can choose a plan that fits your budget and research complexity. Please review the options below to find the best package for your study.

We do offer specialized statistical consulting at Wordona to researchers who make use of Covariance-Based Structural Equation Modeling (CB-SEM). We specialize in the application of IBM Amos to perform strict Confirmatory Factor Analysis (CFA) and complicated path modeling. We guarantee the accurate evaluation of model fit indices and hypothesis testing that are used to confirm complex theoretical frameworks, provides results of the highest academic standards.

Structural modeling assumes a key condition of Confirmatory Factor Analysis (CFA) validation of the measurement model. In evaluating the construct validity and the reliability of the observed variables, we, using IBM Amos, establish the relationship between the observed variables and their latent constructs in a rigorous way. We will analyze using a factor loading, convergent and discriminant validity and essential goodness-of-fit indices- CMIN/DF, CFI and RMSEA to make sure that the scale is psychometrically fit. This preliminary exercise will ensure that the next scientific testing of structural hypotheses is restful on valid and correct data structures.

After testing the measurement model, we go to Structural Model Evaluation in which the hypothesized causal effects among latent constructs are tested. To be able to accurately accept or reject research hypotheses, we use IBM Amos to perform standardized path coefficient calculus, and its corresponding, and the level of significance, each p-value. Moreover, we measure the explanatory strength of the model by looking at the Squared Multiple Correlations so that the suggested theoretical framework can be supported by the data and is of sufficient strength to be interpreted academically.

We are able to go beyond the direct correlation ability to explore more complicated underlying processes using the Mediation and Modernization analysis. To carefully estimate confidence intervals and determine the significance of indirect effects that answer the question of how and why, we apply the bootstrapping approach-the gold standard of SEM-so, we understand the cause and effect relationships among variables. We also do moderation analysis, typically using Multi-Group Analysis (MGA) when there are categorical moderators or interaction terms with continuous variables to establish the conditions of the relationship which weaker or stronger. This subtle methodology gives you a better understanding of your information, which is needed in a critique-chapter level discussion.