標題: Titlebook: An Introduction to Multivariate Techniques for Social and Behavioural Sciences; Spencer Bennett,David Bowers Book 1976 Spencer Bennett and [打印本頁] 作者: probiotic 時間: 2025-3-21 17:50
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書目名稱An Introduction to Multivariate Techniques for Social and Behavioural Sciences讀者反饋
書目名稱An Introduction to Multivariate Techniques for Social and Behavioural Sciences讀者反饋學科排名
作者: FLINT 時間: 2025-3-21 20:41 作者: irreparable 時間: 2025-3-22 03:18 作者: 跳動 時間: 2025-3-22 07:03
https://doi.org/10.1007/978-3-663-13503-6 rather different problem, that in which several groups of objects or persons are measured on the same set of variables. The principal question to be answered is can the groups be differentiated on the basis of the measures obtained from the set of variables? This chapter describes a number of ways of approaching this and other related problems.作者: Talkative 時間: 2025-3-22 12:39 作者: 加劇 時間: 2025-3-22 14:44
Factor Analysis: the Centroid Method,uous and reasonably normal (at least they should not be bimodal or markedly skewed); discontinuous variables will be discussed further in Chapter 7. Regression should be linear, and samples should be large (at least several hundred) to ensure reliability of the resulting correlations.作者: Hirsutism 時間: 2025-3-22 17:02
Principal Factor Analysis,ds of analysis, principal factor analysis and principal component analysis. The approach of the two methods is similar and their aim, to aid interpretation of the underlying structure of the interrelationships between variables, is the same. But there is in fact, as we shall see later, a fundamental difference between the two methods.作者: 朋黨派系 時間: 2025-3-22 23:56 作者: 他姓手中拿著 時間: 2025-3-23 03:04
https://doi.org/10.1007/978-3-663-02265-7the data resulting from such investigations is not in a metric or quantitative form. Multidimensional scaling is a technique which enables us to convert these non-metric measures into a form suitable for the application of those methods of factor analysis discussed previously.作者: Calibrate 時間: 2025-3-23 09:16
Multidimensional Scaling,the data resulting from such investigations is not in a metric or quantitative form. Multidimensional scaling is a technique which enables us to convert these non-metric measures into a form suitable for the application of those methods of factor analysis discussed previously.作者: Neutral-Spine 時間: 2025-3-23 11:24 作者: inhibit 時間: 2025-3-23 14:23
https://doi.org/10.1007/978-3-663-02265-7 a . knowledge of the field of study or by a systematic procedure which the interested reader can find in more advanced texts, such as Harman [1967]. It is, however, not serious if an incorrect assumption about the number of groups is made initially.作者: Condyle 時間: 2025-3-23 21:00
https://doi.org/10.1007/978-1-349-15634-4classification; humour; identity; mathematics; methods; nature; quality; research; science; stability; statist作者: 健談 時間: 2025-3-24 00:00 作者: finale 時間: 2025-3-24 05:58
http://image.papertrans.cn/a/image/155383.jpg作者: Constitution 時間: 2025-3-24 10:06 作者: Myocyte 時間: 2025-3-24 12:59 作者: 使殘廢 時間: 2025-3-24 15:53
Overview: 978-1-349-15636-8978-1-349-15634-4作者: 細胞 時間: 2025-3-24 19:11 作者: 無力更進 時間: 2025-3-25 01:00
https://doi.org/10.1007/978-3-642-72444-2riminating between groups and classifying individuals or objects into categories. Throughout, it was assumed that the measurement of the variables under consideration was in . terms. Furthermore, it was also assumed that the variables in question were normally distributed (at least approximately) and that the regression relationship was linear.作者: 輕觸 時間: 2025-3-25 03:47
https://doi.org/10.1007/978-3-663-02264-0 example) have been used by researchers in the social and behavioural sciences. These techniques, known collectively as multivariate analysis, as versatile and wide-ranging in application as they are, deserve to be known to a wider audience than hitherto, and it is the purpose of this book to introd作者: Guileless 時間: 2025-3-25 10:06
https://doi.org/10.1007/978-3-663-02264-0it is important that the assumptions underlying their use are met. To re-iterate briefly: ideally, the distributions of the variables should be continuous and reasonably normal (at least they should not be bimodal or markedly skewed); discontinuous variables will be discussed further in Chapter 7. R作者: myopia 時間: 2025-3-25 12:24 作者: 窩轉(zhuǎn)脊椎動物 時間: 2025-3-25 16:10
Die Verschuldungskrise Lateinamerikase correlations between the original observed . in terms of their correlations with a smaller set of .. In this chapter we will examine two other methods of analysis, principal factor analysis and principal component analysis. The approach of the two methods is similar and their aim, to aid interpret作者: 使迷醉 時間: 2025-3-25 19:58 作者: Archipelago 時間: 2025-3-26 00:29
https://doi.org/10.1007/978-3-663-02265-7reted in terms of a dependence on a set of unobserved variables or factors. In most cases, obtaining the data in a form suitable to begin the analysis is reasonably straightforward. However, there is an important class of problem in which the initial data processing is more difficult. These problems作者: Onerous 時間: 2025-3-26 06:34
https://doi.org/10.1007/978-3-663-13503-6. The variables were in fact the results of several measures taken on a single group of objects or persons. In the following chapter we will examine a rather different problem, that in which several groups of objects or persons are measured on the same set of variables. The principal question to be 作者: 大量殺死 時間: 2025-3-26 09:30 作者: neutrophils 時間: 2025-3-26 15:36 作者: 形狀 時間: 2025-3-26 18:56 作者: 刪減 時間: 2025-3-26 21:33
An Introduction to Multivariate Techniques for Social and Behavioural Sciences作者: 單純 時間: 2025-3-27 03:15
An Introduction to Multivariate Techniques for Social and Behavioural Sciences978-1-349-15634-4作者: 熱情贊揚 時間: 2025-3-27 08:03
Introduction, example) have been used by researchers in the social and behavioural sciences. These techniques, known collectively as multivariate analysis, as versatile and wide-ranging in application as they are, deserve to be known to a wider audience than hitherto, and it is the purpose of this book to introd作者: 蟄伏 時間: 2025-3-27 13:21
Factor Analysis: the Centroid Method,it is important that the assumptions underlying their use are met. To re-iterate briefly: ideally, the distributions of the variables should be continuous and reasonably normal (at least they should not be bimodal or markedly skewed); discontinuous variables will be discussed further in Chapter 7. R作者: Immunization 時間: 2025-3-27 15:37 作者: Melodrama 時間: 2025-3-27 19:26
Principal Factor Analysis,e correlations between the original observed . in terms of their correlations with a smaller set of .. In this chapter we will examine two other methods of analysis, principal factor analysis and principal component analysis. The approach of the two methods is similar and their aim, to aid interpret作者: 圣人 時間: 2025-3-27 22:06
Multiple Groups Analysis,thogonal or oblique rotations to simple structure. This chapter is concerned with a method called . from which an oblique factor matrix is obtained directly and all factors are extracted simultaneously. The number of such groups (and therefore factors) is assumed at the outset either on the basis of作者: FLING 時間: 2025-3-28 02:44 作者: Confess 時間: 2025-3-28 07:40
Discriminant Analysis,. The variables were in fact the results of several measures taken on a single group of objects or persons. In the following chapter we will examine a rather different problem, that in which several groups of objects or persons are measured on the same set of variables. The principal question to be 作者: FILTH 時間: 2025-3-28 12:23
The Analysis of Qualitatitive Data,riminating between groups and classifying individuals or objects into categories. Throughout, it was assumed that the measurement of the variables under consideration was in . terms. Furthermore, it was also assumed that the variables in question were normally distributed (at least approximately) an作者: lesion 時間: 2025-3-28 15:28
10樓作者: pulmonary 時間: 2025-3-28 19:55
10樓作者: 口訣法 時間: 2025-3-29 01:48
10樓作者: interference 時間: 2025-3-29 05:06
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