Advancing Quantitative Methods in Second Language Research 2015
DOI: 10.4324/9781315870908-9
|View full text |Cite
|
Sign up to set email alerts
|

Exploratory Factor Analysis and Principal Components Analysis

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
89
0
1

Year Published

2016
2016
2021
2021

Publication Types

Select...
6
2

Relationship

1
7

Authors

Journals

citations
Cited by 96 publications
(90 citation statements)
references
References 1 publication
0
89
0
1
Order By: Relevance
“…Therefore, an exploratory factor analysis was first conducted with Oblimin rotation to identify any patterns underlying the multiple oral production measures. Following Loewen and Gonulal's () field‐specific recommendations, two steps were followed to determine the number of groupings, including the utmost variance in the participants’ oral abilities. Given that the cumulative percentage of explained variance reported in L2 research is typically 60–65% and considered relatively low, the threshold for the current analyses was set at 80%.…”
Section: Resultsmentioning
confidence: 99%
“…Therefore, an exploratory factor analysis was first conducted with Oblimin rotation to identify any patterns underlying the multiple oral production measures. Following Loewen and Gonulal's () field‐specific recommendations, two steps were followed to determine the number of groupings, including the utmost variance in the participants’ oral abilities. Given that the cumulative percentage of explained variance reported in L2 research is typically 60–65% and considered relatively low, the threshold for the current analyses was set at 80%.…”
Section: Resultsmentioning
confidence: 99%
“…However, after careful analysis of the factor loading matrix, several complex variables were detected. Based on the suggestions of Pett, Lackey and Sullivan (2003), and Loewen and Gonulal (2015), the items loading on more than one factor were deleted for a further exploratory analysis because these items were obviously not measuring the intended construct and making the factor labeling process difficult. The second EFA resulted in a four-factor solution, with eigenvalues greater than 1.0.…”
Section: Quantitative Resultsmentioning
confidence: 99%
“…The questionnaire data underwent a factor analysis to explore the underlying relationships in the participants' questionnaire responses (Field 2013;Loewen & Gonulal 2015). An exploratory factor analysis 1 (EFA) was chosen because there were no particular expectations regarding the number and nature of underlying factors that exist in the data.…”
Section: Quantitative Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…Exploratory factor analysis (EFA) specifies the relationships among variables without referring to previously established structures or theories (Loewen & Gonulal, 2015). With the help of IBM Statistics SPSS version 25, all the measurement scales in this research model were subjected to principal component analysis with direct oblique rotation for the purpose of computing the correlation matrix together with KMO and Bartlett's test for the scales under investigation.…”
Section: Exploratory Factor Analysismentioning
confidence: 99%