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SPSS survival manual : a step by step guide to data analysis using SPSS
TLDR
In this paper, SPSS is used to explore relationships among variables using graphs to describe and explore the data, checking the reliability of a scale, choosing the right statistic, and comparing groups.Abstract:
Preface Data files and website Introduction and overview Part One: Getting started Designing a study Preparing a codebook Getting to know SPSS Part Two: Preparing the data file Creating a data file and entering data Screening and cleaning the data Part Three: Preliminary analyses Descriptive statistics Using graphs to describe and explore the data Manipulating the data Checking the reliability of a scale Choosing the right statistic Part Four: Statistical techniques to explore relationships among variables Correlation Partial correlation Multiple regression Logistic regression Factor analysis Part Five: Statistical techniques to compare groups Non-parametric statistics T-tests One-way analysis of variance Two-way between-groups ANOVA Mixed between-within subjects analysis of variance Multivariate analysis of variance Analysis of covariance Appendix: Details of data files Recommended reading References Indexread more
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Internationalisation of SMEs: does entrepreneurial orientation matter?
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Analyzing the adoption and diffusion of voice-enabled smart-home systems: empirical evidence from Thailand
TL;DR: The results show that usefulness, ease of use, compatibility and perceived complementarity have significant positive effects on the purchase intention of the VA market and the senior consumers are more likely to purchase the VAs and other allied smart-home devices within a given time frame when compared to the younger consumers.