Tables
5.3Discriminant validity (latent variable correlation and square root of AVE)
7.6Logit scale and infit/outfit information for items of Factor 1
8.2Factor loadings from principal axis factor analysis with varimax rotation for a three-factor solution
9.2Overview of linguistic complexity measures and corresponding instruments
9.4Eight phraseological complexity measures used in this study
9.5Descriptive and inferential statistics of the eight phraseological complexity measures
9.6Most frequent twenty bigrams and trigrams in the input and output at data collection time 1
9.7Most frequent twenty bigrams and trigrams in the input and output at data collection time 2
9.8Most frequent twenty bigrams and trigrams in the input and output at data collection time 3
10.4Maximum likelihood parameter estimates for the research model
11.1Differences between pre- and post-activity self-assessment
12.1Review of the use of MANOVA in recent research in an EMI university context
12.3Descriptive statistics of perceived speaking and writing difficulties of university students
13.1Comparison between sample and population on key demographic variables
13.2Pearson’s chi-square test on demographics for the remaining and missing sample
14.1Distribution of files in the disciplinary areas in SEMIC
14.3Normed counts and Z-scores for Dimension 2 positive and negative features of a sample of texts from SEMIC
14.5A three- and four-cluster solution for the Singapore data based on the four dimension scores
14.6A five-cluster solution for the Singapore data based on the four dimension scores
