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1

Bynner, J. M., and D. M. Romney. "LISREL for beginners." Canadian Psychology/Psychologie canadienne 26, no. 1 (1985): 43–49. http://dx.doi.org/10.1037/h0080016.

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2

Clayton, Margaret F., and Marjorie A. Pett. "AMOS Versus LISREL." Nursing Research 57, no. 4 (July 2008): 283–92. http://dx.doi.org/10.1097/01.nnr.0000313487.64412.be.

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3

Baer, Douglas, and Leslie Hayduk. "LISREL: Issues, Debates and Strategies." Canadian Journal of Sociology / Cahiers canadiens de sociologie 22, no. 4 (1997): 533. http://dx.doi.org/10.2307/3341700.

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4

Wright, Daniel B., and Leslie A. Hayduk. "LISREL Issues, Debates, and Strategies." British Journal of Sociology 48, no. 1 (March 1997): 154. http://dx.doi.org/10.2307/591921.

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5

Rigdon, Edward E., Leslie A. Hayduk, James Jaccard, and Choi K. Wan. "LISREL: Issues, Debates and Strategies." Journal of Marketing Research 34, no. 4 (November 1997): 537. http://dx.doi.org/10.2307/3151970.

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6

Bollen, Kenneth, and Leslie A. Hayduk. "LISREL: Issues, Debates, and Strategies." Social Forces 76, no. 1 (September 1997): 352. http://dx.doi.org/10.2307/2580340.

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7

MW and Leslie A. Hayduk. "LISREL Issues, Debates, and Strategies." Journal of the American Statistical Association 93, no. 441 (March 1998): 412. http://dx.doi.org/10.2307/2669666.

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8

Maruyama, Geoffrey. "A Toolbox for LISREL Users." Contemporary Psychology: A Journal of Reviews 35, no. 6 (June 1990): 601–2. http://dx.doi.org/10.1037/028726.

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9

KÜHNEL, STEFFEN M. "Testing MANOVA Designs with LISREL." Sociological Methods & Research 16, no. 4 (May 1988): 504–23. http://dx.doi.org/10.1177/0049124188016004004.

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10

Williams, Richard, and Leslie A. Hayduk. "LISREL Issues, Debates and Strategies." Contemporary Sociology 26, no. 3 (May 1997): 394. http://dx.doi.org/10.2307/2654075.

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11

Russell, Daniel W. "LISREL From a Unique Perspective." Contemporary Psychology: A Journal of Reviews 42, no. 4 (April 1997): 354–55. http://dx.doi.org/10.1037/000475.

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12

Howell, Roy D., Karl G. Joreskog, Dag Sorbom, and Peter M. Bentler. "LISREL-PC and PRELIS [Computer Software]." Journal of Marketing Research 24, no. 4 (November 1987): 456. http://dx.doi.org/10.2307/3151400.

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13

Howell, Roy D., Karl G. Joreskog, Dag Sorbom, Peter M. Bentler, and Eric J. C. Wu. "LISREL 8 with PRELIS2 for Windows." Journal of Marketing Research 33, no. 3 (August 1996): 377. http://dx.doi.org/10.2307/3152137.

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14

Giegler, Helmut, and Georg Ruhrmann. "Remembering the News: A LISREL Model." European Journal of Communication 5, no. 4 (December 1990): 463–88. http://dx.doi.org/10.1177/0267323190005004005.

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15

Houts, Sandra S., and Cathy Kassab. "Use of Lisrel in Scale Validation." Psychological Reports 67, no. 3_suppl (December 1990): 1059–63. http://dx.doi.org/10.2466/pr0.1990.67.3f.1059.

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16

Vittadini, Giorgio. "Indeterminacy Problems in the Lisrel Model." Multivariate Behavioral Research 24, no. 4 (October 1989): 397–414. http://dx.doi.org/10.1207/s15327906mbr2404_1.

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17

VOLLMER, FRED. "The LISREL paradigm: Reply to Joreskog." Scandinavian Journal of Psychology 26, no. 1 (March 1985): 375. http://dx.doi.org/10.1111/j.1467-9450.1985.tb01179.x.

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18

HOUTS, SANDRA S. "USE OF LISREL IN SCALE VALIDATION." Psychological Reports 67, no. 7 (1990): 1059. http://dx.doi.org/10.2466/pr0.67.7.1059-1063.

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19

HOUTS, SANDRA S. "USE OF LISREL IN SCALE VALIDATION." Psychological Reports 67, no. 8 (1990): 1059. http://dx.doi.org/10.2466/pr0.67.8.1059-1063.

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20

Molenaar, Peter C. M. "Review of Multivariate Analysis with LISREL." Structural Equation Modeling: A Multidisciplinary Journal 26, no. 2 (February 15, 2019): 324–27. http://dx.doi.org/10.1080/10705511.2019.1566002.

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21

Dolan, Conor. "Principal component analysis using LISREL 8." Structural Equation Modeling: A Multidisciplinary Journal 3, no. 4 (January 1996): 307–22. http://dx.doi.org/10.1080/10705519609540049.

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22

Lavee, Yoav. "Linear Structural Relationships (LISREL) in Family Research." Journal of Marriage and the Family 50, no. 4 (November 1988): 937. http://dx.doi.org/10.2307/352105.

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23

Mak, B. "Learning art with computers - a LISREL model." Journal of Computer Assisted Learning 17, no. 1 (March 2001): 94–103. http://dx.doi.org/10.1046/j.1365-2729.2001.00162.x.

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24

Mak, B. "Learning art with computers - a LISREL model." Journal of Computer Assisted Learning 17, no. 1 (March 2001): 94–103. http://dx.doi.org/10.1111/j.1365-2729.2001.00162.x.

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25

Schneeweiss, H. "Models with latent variables: LISREL versus PLS." Statistica Neerlandica 45, no. 2 (June 1991): 145–57. http://dx.doi.org/10.1111/j.1467-9574.1991.tb01300.x.

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26

ACOCK, ALAN C., and THEODORE D. FULLER. "Standardized Solutions Using LISREL on Multiple Populations." Sociological Methods & Research 13, no. 4 (May 1985): 551–57. http://dx.doi.org/10.1177/0049124185013004006.

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27

JÖRESKOG, KARL G., and DAG SÖRBOM. "Model Search With TETRAD II and LISREL." Sociological Methods & Research 19, no. 1 (August 1990): 93–106. http://dx.doi.org/10.1177/0049124190019001004.

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28

Neale, M. C., A. C. Heath, J. K. Hewitt, L. J. Eaves, and D. W. Fulker. "Fitting genetic models with LISREL: Hypothesis testing." Behavior Genetics 19, no. 1 (January 1989): 37–49. http://dx.doi.org/10.1007/bf01065882.

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29

Oud, Han. "Lezen Volgen In Het Basisonderwijs Met Liskal." Lezen en luisteren in moedertaal en vreemde taal 43 (January 1, 1992): 121–35. http://dx.doi.org/10.1075/ttwia.43.13oud.

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The use of the Kalman filter in the Dutch pupil monitoring system LISKAL makes it possible to reduce with 30 to 50% the estimation error variance resulting from Bartlett's well-known cross-sectional factor score estimator. The PC-program LISKAL is based on a longitudinal LISREL model of reading achievements of pupils in primary education. It combines past and present information from educational test scores to estimate optimally individual pupil's achievements in reading skills: decoding speed, reading comprehension and spelling. It is explained how LISKAL works and how it can be used by the teacher in the class room. Most LISKAL results are given in graphical form. Different kinds of information are provided by LISKAL: 1) the individual pupil's achievements are compared at successive time points with those of a normative group, 2) the pupil is compared with itself at previous points in time, 3) on the basis of the model predictions can be made of future achievements to enable the teacher to take timely intervention measures, 4) by comparing predicted development with actual development the effect of intervention measures can be evaluated, 5) in addition to individual developmental curves the program also generates mean curves for groups of pupils as, for example, classes or schools. In the present version of LISKAL achievement variables are present as standardized variables in the form of z-scores, having mean 0 and standard deviation 1 at each point in time. This implies relative assessment in relation to a normative group. However, teachers are often interested in absolute developmental curves, especially for low achieving pupils. The problem of estimating absolute developmental curves can also be solved by means of the Kalman filter. The LISREL model on which it has to be based is more complicated, however. Absolute assessment will be added as an option in a new version of the LISKAL program based on a new research project with a nationwide sample of 3430 pupils.
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30

Malhotra, Naresh K., Evandro Luiz Lopes, and Ricardo Teixeira Veiga. "Modelagem de Equações Estruturais com Lisrel: Uma Visão Inicial." Revista Brasileira de Marketing 13, no. 2 (May 23, 2014): 28–43. http://dx.doi.org/10.5585/remark.v13i2.2698.

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O LISREL tido como um dos mais robustos softwares para modelagem de equaes estruturais com matrizes de covarincia, ao mesmo tempo em que considerado um pacote estatstico complexo de difcil utilizao. Neste nmero especial do Brazilian Journal of Marketing, buscamos apresentar as principais caractersticas do LISREL, suas funcionalidades e, por meio de um exemplo didtico, reduzir a dificuldade percebida em seu uso.DOI: 10.5585/remark.v13i2.2698
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31

Tambun, Sihar, Riris Rotua Sitorus, Netty Laura S, and Imam Suryono. "Peningkatan Kemampuan Peneliti Muda Universitas Tadulako Melalui Pelatihan Aplikasi Nvivo dan Lisrel Untuk Riset Bisnis." Joong-Ki : Jurnal Pengabdian Masyarakat 2, no. 3 (July 27, 2023): 687–94. http://dx.doi.org/10.56799/joongki.v2i3.2083.

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The Community Service Program is carried out with the aim of increasing the competence of researchers in the Master of Management Study Program at Tadulako University, Palu. There are two competencies to be improved. First, competence in the field of qualitative research through the use of the NVivo software. Second, competence in the field of quantitative research through the use of Lisrel software for structural equation modeling research. The method used is a services learning approach by conducting lectures and workshops. The output of this community service program is an increase in the competence of the participants which consists of two competencies. First, increasing competence in the field of qualitative research through the use of the NVivo software. This competency includes the ability to input internal data and external data into NVivo, the ability to code internal data and external data, the ability to process data and produce coding visualization images, and the ability to draw conclusions from coding visualization images. Second, increasing competence in the field of quantitative research through the use of the Lisrel software. This competence includes the ability to solve the problem of confirmatory factor analysis by using the modification indices facility in the Lisrel software, the ability to solve the goodness of fit problem in the structural equation modeling research model, the ability to create syntax to test indirect effects using the Lisrel software, and the ability to read data processing output with using the Lisrel software.
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32

Teel, Jesse E., William O. Bearden, and Subhash Sharma. "Interpreting LISREL Estimates of Explained Variance in Nonrecursive Structural Equation Models." Journal of Marketing Research 23, no. 2 (May 1986): 164–68. http://dx.doi.org/10.1177/002224378602300208.

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The LISREL method of computing explained variance for nonrecursive structural equation models is compared with alternative computational procedures. Explained variance estimates produced by LISREL are shown to be influenced by equation disturbance terms in nonrecursive models. The analysis demonstrates the need for caution in interpreting explained variance estimates in models with reciprocal feedback loops and/or errors correlated across equations.
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33

KB, James Jaccard, and Choi K. Wan. "LISREL Approaches to Interaction Effects in Multiple Regression." Journal of the American Statistical Association 92, no. 439 (September 1997): 1227. http://dx.doi.org/10.2307/2965614.

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34

Land, Kenneth C., and Leslie A. Hayduk. "Structural Equation Modeling with LISREL: Essentials and Advances." Social Forces 69, no. 1 (September 1990): 338. http://dx.doi.org/10.2307/2579660.

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35

Hertzog, Christopher, and Leslie A. Hayduk. "Structural Equation Modeling with LISREL: Essentials and Advances." Journal of Marketing Research 26, no. 3 (August 1989): 369. http://dx.doi.org/10.2307/3172910.

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36

Fox, John, and Leslie A. Hayduk. "Structural Equation Modeling with LISREL: Essentials and Advances." Canadian Journal of Sociology / Cahiers canadiens de sociologie 14, no. 2 (1989): 257. http://dx.doi.org/10.2307/3341309.

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37

Benda, Brent B., and Leanne Whiteside. "Testing an Integrated Model of Delinquency Using LISREL." Journal of Social Service Research 21, no. 2 (February 6, 1996): 1–32. http://dx.doi.org/10.1300/j079v21n02_01.

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38

Hocevar, Dennis, Ali-Maher Khattab, and William B. Michael. "Significance Testing and Efficiency in Lisrel Measurement Models." Educational and Psychological Measurement 47, no. 1 (March 1987): 45–49. http://dx.doi.org/10.1177/0013164487471006.

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39

Diamantopoulos, A. "Modelling with LISREL: A guide for the uninitiated." Journal of Marketing Management 10, no. 1-3 (April 1994): 105–36. http://dx.doi.org/10.1080/0267257x.1994.9964263.

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40

Pang, Nicholas S. K. "School values and teachers’ feelings: a LISREL model." Journal of Educational Administration 34, no. 2 (May 1996): 64–83. http://dx.doi.org/10.1108/09578239610112114.

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41

Alexander, William P. "LISREL Approaches to Interaction Effects in Multiple Regression." Technometrics 40, no. 3 (August 1998): 259–60. http://dx.doi.org/10.1080/00401706.1998.10485533.

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42

Davies, Fiona, Mark Goode, Josef Mazanec, and Luiz Moutinho. "LISREL and neural network modelling: two comparison studies." Journal of Retailing and Consumer Services 6, no. 4 (October 1999): 249–61. http://dx.doi.org/10.1016/s0969-6989(98)00009-5.

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43

Reisinger, Yvette, and Lindsay Turner. "Structural equation modeling with Lisrel: application in tourism." Tourism Management 20, no. 1 (February 1999): 71–88. http://dx.doi.org/10.1016/s0261-5177(98)00104-6.

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44

Steenkamp, Jan-Benedict E. M., and Hans C. M. van Trijp. "The use of lisrel in validating marketing constructs." International Journal of Research in Marketing 8, no. 4 (November 1991): 283–99. http://dx.doi.org/10.1016/0167-8116(91)90027-5.

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45

Wardrop, James L., Leslie A. Hayduk, and Kenneth A. Bollen. "Structural Equation Modeling with LISREL: Essentials and Advances." Journal of Educational Statistics 18, no. 1 (1993): 115. http://dx.doi.org/10.2307/1165186.

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46

Blozis, Shelley A., Jeffrey R. Harring, and Gerhard Mels. "Using LISREL to Fit Nonlinear Latent Curve Models." Structural Equation Modeling: A Multidisciplinary Journal 15, no. 2 (April 17, 2008): 346–69. http://dx.doi.org/10.1080/10705510801922639.

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47

Dolan, C. V., P. C. M. Molenaar, and D. I. Boomsma. "LISREL analysis of twin data with structured means." Behavior Genetics 19, no. 1 (January 1989): 51–62. http://dx.doi.org/10.1007/bf01065883.

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48

Neale, Michael C., and J. J. McArdle. "The analysis of assortative mating: A LISREL model." Behavior Genetics 20, no. 2 (March 1990): 287–96. http://dx.doi.org/10.1007/bf01067796.

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49

Candra, Candra, and Saddam Saddam. "Pelatihan Pengembangan Instrumen Afektif Dengan Software Lisrel 8.5 Untuk Guru Sma Muhammadiyah Mataram." Abdi Masyarakat 5, no. 1 (June 2, 2023): 2107. http://dx.doi.org/10.58258/abdi.v5i1.5198.

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Tujuan pelatihan pengembangan instrument secara umum adalah untuk memberikan pemahaman maupun kemampuan tentang cara mengembangkan instrument afektif dengan menggunakan program lisrel 8.50 kepada guru. Kegiatan ini dilaksanakan di Sekolah SMA Muhammadiyah Mataram. Kegiatan ini dilakukan dengan metode Coaching (Pelatihan) untuk memberikan pengalaman langsung kepada guru tentang pengembangan instrumen. Berdasarkan hasil selama mengikuti pelatihan, diperoleh bahwa guru SMA Muhammadiyah Mataram setelah dilakukan sosialisasi dan praktek pengembangan instrument diperoleh hal-hal sebagai berikut. Pertama, pelatihan dan sosialisasi sebelumnya guru tidak pernah menerima materi pelatihan yang dilaksanakan. Kedua, guru memperoleh pemahaman cara mengembangkan instrument non tes dengan lisrel 8.50. Ketiga, pada pelaksanaan menggunakan softwer lisrel, guru mampu mengaplikasikan secara mandiri dan dapat membaca dengan baik ouput instrument hasil analisis. Waktu yang dihabiskan selama kegiatan yakni 3 minggu yang terdiri dari tahapan persiapan, sosialisasi dan praktek penggunaan softwer.
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50

Hutabarat, Ida Mariati. "Pemodelan Persamaan Struktural dengan Analisis Linear Structure Relationship (Lisrel)." PYTHAGORAS Jurnal Pendidikan Matematika 4, no. 2 (December 12, 2008): 50–61. http://dx.doi.org/10.21831/pg.v4i2.561.

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The structural equation modeling is a part of statistics which can be used to analyze relation which is developed through one or more dependent variable which is explained by one or more independent variable, and at the same time one or more independent variable acts as an independent variable for the other dependent variable. In the covariance structure based structural equation modeling the analysis which is frequently used is the Linear Structure Relationship (LISREL) analysis. The aim of this study is to learn the accuracy and consistence of the estimated values of parameters of structural equation model using LISREL analysis. The difference between one path coefficient and another shows the difference of closeness level of the relationship between the independent variables and the latent variables in an expected block.
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