Research question: Does Time since PhD predicts Number of Publications? Open SPSS: Select ANALYZE -> REGRESSION -> LINEAR. Move PUBS (dependent variable) into DEPENDENT and TIME (independent variable) into INDEPENDENT. Click on Statistics -> Select CONFIDENCE INTERVALS and DESCRIPTIVES. Click on Continue. Click on Save -> Select Mean and Individual below Prediction Intervals. Click on …
The website below generate R code that can compute: Statistical power for testing a covariance structure model using RMSEA. The minimum sample size required to achieve a given level of power. Power for testing the difference between two nested models using RMSEA. The minimum sample size required to achieve a given level of power for …
Running Simple Logistic Regression: Research question: What is the relationship between pretest score and one’s passing on post-test? From the menu, click on Analyze -> Regression -> Binary Logistic In the appearance window, move DV (pass) to Dependent… -> IV (Pre) to Covariates: Hit Options… -> Check CI for exp(B) -> At last step -> …
• Discriminant analysis (DA) is to predict group membership (DV – Categorical variable) from a set of predictors (IV – Continuous variables). Thus, DA is MANOVA turned around. Research question: Do PERF, INFO, VERBEXP permit he classification of students by types of learning disabilities? DV: Types of learning disabilities (3 groups) Memory: Children whose major …
Running one-way MANOVA: RQ: A researcher wants to compare differences in score on the reading subtest of the Wide Range Achievement Test (WRAT-R) and score on the arithmetic subtest (WRAT-A) between students with treatment and those without treatment. IV: Treatment vs. Not (2 levels) DVs: WRAT-R and WRAT-A From the menu, click on Analyze -> …
A researcher wants to compare differences in score on the reading subtest of the Wide Range Achievement Test (WRAT-R) and score on the arithmetic subtest (WRAT-A) between students with treatment and those without treatment. Then, a researcher wants to see whether treatment effect differs by degree of disability (i.e., mild, moderate, and severe). IV1: Treatment …
Multivariate analysis of variance (MANOVA) and multivariate analysis of covariance (MANCOVA) are used to test the statistical significance of the effect of one or more independent variables on a set of two or more dependent variables, [after controlling for covariate(s) – MANCOVA]. MANOVA and MANCOVA is an extension of ANOVA and ANCOVA. The major difference …
We have to run a data screening by checking the following: The accuracy of the data by examining descriptive statistics. The underlying assumptions are met or not. The outliers – cases that are extreme – that can distort results from MVS analysis. The multicollinearity and singularity – perfect or near perfect correlations among variables – …
The CFA requires the model/structure to be specified. Suppose this is the structure we want to test is as: Subscale1 (extraversion) Subscale2 (neuroticism) Subscale3 (agreeableness) Subscale4 (conscientiousness) Subscale5 (openness to experience) We will conduct confirmatory factor analysis using lavaan package. First install and load the package: install.packages(“lavaan”) library(lavaan) ## lavaan is BETA software! Please report …
From the menu, click on Analyze -> Dimension Reduction -> Factor… In the appearance window, move all variables to Variables… ->Continue Hit Descriptives… -> Check KMO and Barlett’s test of sphericity -> Continue Hit Extraction… -> check Scree plot -> choose Method: Principal components (if you are running PCA) or Method: Principal Axis Factoring (if …
