Hair Et Al 2010 Sample Size

Nevertheless when the sample size is small the reliability of the estimates is low and may not represent the true relation between two variables hair et al 2005.

Hair et al 2010 sample size. The optimal sample size obtained for landslides is slightly lower than the values previously suggested for tree ring based snow avalanche and debris flow reconstructions where 100 corona et al 2012 and 150 trees schneuwly bollschweiler et al 2013 respectively have been proposed as an appropriate minimum sample size for reasonable reconstructions with limited or no noise. Although cronbach s alpha is a very popular. 613 it should be higher than 300 cases the number that is considered comfortable. Willaby et al 2015.

Hair et al9 suggested that sample sizes should be 100 or greater. General guides include tabachnick s rule of thumb10 that suggests having at least 300 cases are needed for factor analysis. Hogarty et al 6 p 203 who stated that these disparate sample size recommendations have not served researchers well. Hence we realized that an adequate sample size with acceptable accuracy is important.

Firstly determine the population size which is the total number of distinct entities in your population and it is denoted by n. Method hair et al 2011 which builds on the assumption that the sample size should be greater than 10 times the maximum number of inner or outer model links pointing at any latent variable in the model. For factor analysis according to hair et al 2010 a sample should preferably be more than 100 for factor analysis to proceed however according to tabachnick and fidell 2007 p. Sample size is small the reliability of the estimates is low and may not represent the true relation between two variables hair et al 2005.

Cargnelutti filho et al 2012. Pls sem offers solutions with small sample sizes when models comprise many constructs and a large number of items fornell and bookstein 1982. The above list provides an overview of points to consider when deciding whether pls is an appropriate sem method for a study. Three indicators the questionnaire item.

The level of cr is another guideline to review convergent validity. In case the population size is very large but the exact number is not known then use 100 000 because the sample size doesn t change much for populations larger than that. Hair et al 2010 regards five respondents per variable to be analyzed as the lower limit but the most acceptable way. According to hair et al 2010 an acceptable factor loading value is more than 0 5 and when it is equal to 0 7 and above it is considered good for one indicator.

Cargnelutti filho et al 2010. Hair et al 2017b technically the pls sem algorithm makes this possible by computing. Cargnelutti filho et al 2011. I used the following to justify my sample size.

Cargnelutti filho et al 2011.