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Relevant bibliographies by topics / SPSS statistical package

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Journal articles

Academic literature on the topic 'SPSS statistical package'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 February 2022

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Journal articles on the topic "SPSS statistical package"

1

Vogel, Mark. "Review of SPSS/PC + statistical package." Computational Statistics & Data Analysis 6, no. 1 (1988): 71–84. http://dx.doi.org/10.1016/0167-9473(88)90065-5.

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2

Kusumah, Echo Perdana. "Technology Acceptance Model (TAM) of Statistical Package for the Social Sciences (SPSS) Applications." Integrated Journal of Business and Economics 2, no. 1 (2018): 1. http://dx.doi.org/10.33019/ijbe.v2i1.47.

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Department of Management, Faculty of Economics, University of Bangka Belitung has been using SPSS application in the implementation of teaching management subjects, to improve productivity of lecturers work by automating work in the form of SPSS applications. SPSS application aims to provide convenience and acceleration in the process of completion research. This study aims to find out how the user's perception of usefulness and ease of use of SPSS applications. Respondents in this study amounted to 100 students majoring in management. Method of collecting data using electronic questionnaire (

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3

Florio, Colleen M. "Review of Statistical Package for the Social Sciences (SPSS) 6.1 for Windows." Measurement and Evaluation in Counseling and Development 30, no. 2 (1997): 106–8. http://dx.doi.org/10.1080/07481756.1997.12068927.

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Matulaitienė, Agnė, and Eugenijus Jurkonis. "STATISTICAL ANALYSIS OF THE FLEXOGRAPHIC PRINTING QUALITY / FLEKSOGRAFINĖS SPAUDOS PRODUKCIJOS KOKYBĖS ANALIZĖ STATISTINIAIS METODAIS." Mokslas - Lietuvos ateitis 5, no. 6 (2013): 598–600. http://dx.doi.org/10.3846/mla.2013.96.

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Analysis of flexographic printing output quality was performedusing SPSS software package. Samples of defected productswere collected for one year in the existing flexographic printingcompany. Any defective products examples were described indetails and analyzed. It was decided to use SPPS software packagebecause of large amount of data. Data flaw based hypotheseswere formulated which were approved or rejected in analysis.The results obtained are presented in the charts. Santrauka Fleksografinės spaudos produkcijos kokybės analizė atlikta naudojant SPSS programinį paketą. Brokuotos produkcijos

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5

ابراهیم, ابراهیم حسن. "Difference between statistical software package (SAS, SPSS, and MINITAB )as applied to binary response variable." المجلة العملیة التجارة والتمویل 20, no. 2 (2000): 1–23. http://dx.doi.org/10.21608/caf.2000.141181.

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6

Cao, Li Ying, He Long Yu, Li Ma, Gui Fen Chen, and Ting Ting Yang. "Application of Variance Analysis Method in Agriculture Information in Statistics." Applied Mechanics and Materials 651-653 (September 2014): 2130–33. http://dx.doi.org/10.4028/www.scientific.net/amm.651-653.2130.

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Variance analysis is a method commonly used in biological statistics. How to use the statistical analysis software for the analysis of variance to achieve the results of the rapid and scientific treatment, to obtain the correct conclusion, is an important part of agricultural research. This paper introduces how to use SPSS (Statistical Package for the Social Science or Statistic Products andService Solution) data analysis tool for the variance analysis method; the data analysis and processing of fast, accurate and intuitive; compared with Excel, the statistical analysis function of SPSS is mor

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Journal, Baghdad Science. "MEASURING OF FARMERS ADOPTION LEVEL FOR MODERN IRRIGATION SYSTEM AND THEIR WIDE APPLICATION." Baghdad Science Journal 1, no. 2 (2004): 215–23. http://dx.doi.org/10.21123/bsj.1.2.215-223.

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74 fanners were randomily selected from the Lc:ital. of 406 fanners using the Modern Irrigation System up to November , 2000 , for the purpose of wide adoptation of such system. Rcsults indicated according to the data which has been obtained and statistically analysed by the statistical package for the Social Sciences (SPSS) program showed that the majority of the farmers adopted this new system of irrigation due to the increase in the yield up to 5" .

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8

Shek, Daniel T. L., and Cecilia M. S. Ma. "Longitudinal Data Analyses Using Linear Mixed Models in SPSS: Concepts, Procedures and Illustrations." Scientific World JOURNAL 11 (2011): 42–76. http://dx.doi.org/10.1100/tsw.2011.2.

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Although different methods are available for the analyses of longitudinal data, analyses based on generalized linear models (GLM) are criticized as violating the assumption of independence of observations. Alternatively, linear mixed models (LMM) are commonly used to understand changes in human behavior over time. In this paper, the basic concepts surrounding LMM (or hierarchical linear models) are outlined. Although SPSS is a statistical analyses package commonly used by researchers, documentation on LMM procedures in SPSS is not thorough or user friendly. With reference to this limitation, t

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9

Perry, Zvi H., Aricha-Tamir Barak, Lily Neumann, and Amalia Levy. "Computer-Based Learning: The Use of SPSS Statistical Program for Improving Biostatistical Competence of Medical Students." Journal of Biomedical Education 2014 (October 22, 2014): 1–9. http://dx.doi.org/10.1155/2014/298140.

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Background. We changed the biostatistics curriculum for our medical students and have created a course entitled “Multivariate analysis of statistical data, using the SPSS package.” Purposes. The aim of this course was to develop students’ skills in computerized data analysis, as well as enhancing their ability to read and interpret statistical data analysis in the literature. Methods. In the current study we have shown that a computer-based course for biostatistics and advanced data analysis is feasible and efficient, using course specific evaluation questionnaires. Results. Its efficacy is bo

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10

Ang, Rebecca P. "Use of Double Cross-Validation and Bootstrap Methods to Estimate Replicability of Results of Multiple Regression." Perceptual and Motor Skills 86, no. 3_suppl (1998): 1143–52. http://dx.doi.org/10.2466/pms.1998.86.3c.1143.

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Researchers have all too often ignored replicability of results because they overly rely on significance testing. This is a misinformed view because statistical significance does not evaluate the importance or replicability of a result. This paper focuses on two methods of assessing replicability of results, double cross-validation and bootstrap procedures. Selected variables from Hughes, Cavell, and Grossman's (1997) data set of 112 cases are used to illustrate all these techniques as applied to the interpretation of multiple regression results. One statistical computer package SPSS is used f

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