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Titlebook: Data Analysis with SPSS for Survey-based Research; Saiyidi Mat Roni,Hadrian Geri Djajadikerta Book 2021 Springer Nature Singapore Pte Ltd.

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樓主: cucumber
31#
發(fā)表于 2025-3-26 21:22:06 | 只看該作者
32#
發(fā)表于 2025-3-27 03:09:37 | 只看該作者
Book 2021nly used logical steps in data analysis design for research. The book features SPSS screenshots to assist rapid acquisition of the techniques required to process their research data. . Rather than using a conventional writing style to discuss fundamentals of statistics, this book focuses directly on
33#
發(fā)表于 2025-3-27 07:40:55 | 只看該作者
34#
發(fā)表于 2025-3-27 09:31:46 | 只看該作者
Churchill, America and Vietnam, 1941-45velled after controlling for the traffic and road conditions. We also include a quantile regression which is very handy if you need to look at the effects of predictors at different sections (i.e., quartile) of your sample. It is like looking at the distance travelled in a single tank but at different driving speed.
35#
發(fā)表于 2025-3-27 16:47:37 | 只看該作者
36#
發(fā)表于 2025-3-27 18:20:21 | 只看該作者
Research Instrument Design and Sample,estionnaire and sample size. The survey questionnaire is the tool where you use to collect data from the sample. The sample size is the total number of individuals for whom the survey is sent. We demonstrate how you can create the right questions to get the right answers from the right number of individuals.
37#
發(fā)表于 2025-3-28 00:45:03 | 只看該作者
SPSS Basics,h the three main SPSS windows. These are the ., ., and . windows. Most of the time, you will be working with data and variable windows and rarely venture into syntax. We however, find that syntax is fun. It’s like being able to turn on and off the . function in some high-performance cars.
38#
發(fā)表于 2025-3-28 02:37:14 | 只看該作者
Factor Analysis: Combining Related Question-Items into Latent Variables,t there is another pattern hidden in the dataset which breaks your anticipation (and your heart). It’s like driving – even if you have Google map guiding you to your destination, the actual journey can differ from your plan.
39#
發(fā)表于 2025-3-28 08:00:30 | 只看該作者
Non-Parametric Tests,etric) when the speed data is normally distributed (because there are three groups to compare). You can also Kruskal-Wallis test if the data is non-normal. We also walk you through the non-parametric tests of correlation and the rarely used but very helpful Jonckheere-Terpstra test.
40#
發(fā)表于 2025-3-28 14:26:42 | 只看該作者
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