The Salient Variable Similarity Index for Factor Matching

Cattell, Raymond B.; Baggaley, Andrew R.

doi:10.1111/j.2044-8317.1960.tb00037.x

Cited by 113 publications

(52 citation statements)

References 5 publications

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“…The appearnace of this factor is entirely confined to Guilfordts Length: 4 parts each naming 3 objects; total time 12 minutes Suitable for grades [8][9][10][11][12][13][14][15][16] Sep-3, Seeing Deficiencies A test developed in Guilford's project. The subject is asked to point out the way in which a described plan or activity is faulty.…”

Section: -2 Symbol Productionmentioning

confidence: 99%

See 1 more Smart Citation

Manual for Kit of Reference Tests for Cognitive Factors (Revised 1963)

French¹,

Ekstrom²,

Price³

1963

671

659

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Section: -2 Symbol Productionmentioning

confidence: 99%

“…Length of each parti 60 items, 2 minutes Suitable for grades [6][7][8][9][10][11][12][13][14][15][16] .…”

Section: Sn-2 Division Testmentioning

confidence: 99%

Manual for Kit of Reference Tests for Cognitive Factors (Revised 1963)

French¹,

Ekstrom²,

Price³

1963

671

659

View full text Add to dashboard Cite

“…The Direct Oblimin rotation technique was used because of the relationship between the factors when the EFA was performed. Factor loadings in EFA are considered to be at least 0.30 and multiple factorials are removed from the scale (Büyüköztürk, 2004;Cathell & Baggaley, 1960;Neale & Liebert, 1980). For this reason, the factor loads (item total test correlation) of less than 0.30 and multiple factorials were extracted from the scale by consulting the expert opinion.…”

Section: Results Related To Exploratory Factor Analysis (Efa)mentioning

confidence: 99%

“…In this study, a relationship between the factors was determined and the Direct Oblimin rotation technique was used. Factor loadings in EFA evaluations are considered to be at least 0.30 (Büyüköztürk, 2004;Cathell & Baggaley, 1960;Neale & Liebert, 1980). For this reason, items with a factor load of less than 0.30 were removed from the scale.…”

Section: Data Analysis and Proceduresmentioning

confidence: 99%

Development of Foreign Language Lesson Satisfaction Scale (FLSS): Validity and Reliability Study

Taşgin

Korucuk

2018

JCT

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In this research it is aimed to develop an instrument that could be used to measure university students' satisfaction with foreign language lessons in a valid and reliable manner. The research was conducted on three separate study groups consisting of 460 students in the spring semester of the 2017-2018 academic year. In the research, firstly, an expert opinion was applied for the content and face validity of the scale prepared in accordance with literature review, student and expert opinions. In the final form, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were applied. The EFA yielded a construct that consisted of 28 items and three factors that explained the 59.97% of the total variance. These factors were named as follows: the Curriculum, Teaching Staff and Physical Conditions. CFA was performed in the final application phase and the fit indexes were determined to be acceptable. For the criterion validity, the correlations of the factors with the total points of the scale were calculated and a high level of meaningful correlation was observed between these values. Internal consistency and split half test values for the whole scale show that the scale is highly reliable. Based on these findings, it can be said that this scale is a valid and reliable measurement tool for university students to measure their satisfaction with foreign language lessons.

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“…When the method ofKaiser et al (1971) is applied, a matrix with the cosines between the compared factors is computed. For the other methods, the library computes the following indices: (1) the factorial congruence index (Burt, 1948); (2) a discrepancy or distance index, which is the square root of the average squared difference between the corresponding elements ofthe respective columns offactor loadings (Mulaik, 1972); (3) the nonparametric salient variable similarity index, s (Cattell & Baggaley, 1960); and (4) the Pearson r between Fisher-transformed factor loadings. Comparisons of these indices can be found in literature (see, e.g., Reynolds & Harding, 1983).…”

Section: Applicability Of the Facom Library And Comparison Proceduresmentioning

confidence: 99%

FACOM: A library for relating solutions obtained in exploratory factor analysis

Lorenzo

Ferrando

1996

Behavior Research Methods, Instruments, & Computers

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A library for comparingfactorial solutions obtained in exploratory analyses is presented. The procedure aUows both orthogonal and oblique solutions to be compared by computing several indices. The library is controUed with interactive menus or programs.Over the years, factor analysts have developed a series of methods for comparing factorial solutions obtained in different exploratory analyses. These methods are useful in applied research, such as cross-cultural studies or evaluations offactors previously found in relation to new studies. In particular, two situations will be considered in this paper: (I) comparisons between factors obtained in the same study but with different procedures and (2) comparisons between factors obtained in two different studies.Confirmatory multigroup factor analysis (see, e.g., J6r-eskog, 1971, or Alwin & Jackson, 1981 is the most accurate method of factor comparison when different samples are used. However, hypothesis testing procedures are not appropriate to all situations. For example, a great deal of cross-cultural or survey research requires procedures based on exploratory or descriptive methodology. The methods implemented in the FACOM library will be useful for these cases. Also, apart from substantive research, FACOM can be helpful in comparative studies on what guidelines should be used with various indices of matching factors solutions (see, e.g., Barrett, 1986). Applicability of the FACOM Library and Comparison ProceduresThe FACOM library has been developed to enable factorial solutions to be compared in the following cases: (1) two factorial solutions obtained in the same sample and with the same variables but using different analysis procedures; (2) two orthogonal factorial solutions obtained using the same variables in two different samples; and (3) two oblique factorial solutions obtained using the same variables in two different samples.In the first case, the method applied consists of obtaining the correlation between the estimated factor scores for each pair of factors to be compared. This correlation can be directly computed without computing the factor scores (see Gorsuch, 1974, formula 13.2.3).In the second case, two alternative methods have been included in FACOM. The first compares two solutions ro-

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The Salient Variable Similarity Index for Factor Matching

Cited by 113 publications

References 5 publications

Manual for Kit of Reference Tests for Cognitive Factors (Revised 1963)

Manual for Kit of Reference Tests for Cognitive Factors (Revised 1963)

Development of Foreign Language Lesson Satisfaction Scale (FLSS): Validity and Reliability Study

FACOM: A library for relating solutions obtained in exploratory factor analysis

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