基于多元回归的调节效应分析

在心理学和其他社科研究领域,大量实证研究建立调节模型,以分析自变量对因变量关系的影响机制,但在基于多元回归的调节效应分析实践中仍存在不足。我们回顾了均值中心化在基于多元回归的调节效应分析中的作用,均值中心化不影响乘积项(即调节效应)的检验,仅对一阶项(即主效应)的检验有影响。讨论了简单斜率的检验方法,建议在调节变量为连续变量时,使用Johnson-Neyman法进行简单斜率检验;在调节变量为类别变量或研究者对某个调节变量值感兴趣时,使用选点法。并用一个实际例子演示如何进行调节效应分析。随后展望了调节效应检验的拓展方向。     

Confusing developmental and individual differences

T. Globerson (1985, Developmental Review, 5, 261–273) compared the relative effects of an individual difference variable field dependency (FD/I) with a developmental variable (age) on a measure of M-capacity, in an analysis of variance (ANOVA) design. Age is a highly significant effect and the sum of squares associated with this factor accounts for 66% of the variance in M-capacity. FD/I is not significant and accounts for less than 1% of the variance in M-capacity. This is interpreted as indicating that M-capacity is a purely developmental phenomenon showing negligible individual differences. This paper argues that this result is an inevitable artifact of the experimental design. Further, the design is a common one in developmental psychology, and its dangers are largely unrecognized. The main problems concern (1) dichotomizing a continuous variable and treating the dichotomy as two levels of a factorial variable, (2) drawing inferences about the size of relationship between the continuous variable and the dependent variable on the basis of the variance accounted for by the factorial variable in the ANOVA, (3) differential reliability of measures of the independent variables, and (4) selective control of the sampling of the independent variables. These issues are explored in a simulation of Globerson's data and in an analogous analysis of data relating age and height, as independent variables, with weight as a dependent variable.     

A program for fitting two-phase segmented-curve models with an unknown change point,with an application to the analysis of strategy shifts in a cognitive task

A program is described for fitting a regression model in which the relationship between the dependent and the independent variables is described by two regression equations, one for each of two mutually exclusive ranges of the independent variable. The point at which the change from one equation to the other occurs is often unknown, and thus must be estimated. In cognitive psychology, such models are relevant for studying the phenomenon of strategy shifts. The program uses a (weighted) least squares algorithm to estimate the regression parameters and the change point. The algorithm always finds the global minimum of the error sum of squares. The model is applied to data from a mental-rotation experiment. The program’s estimates of the point at which the strategy shift occurs are compared with estimates obtained from a nonlinear least squares minimization procedure in SPSSX.     

自尊对主观幸福感的影响：有调节的中介效应

采用问卷法调查了1084名高一至大四的学生,探讨了自尊、主观幸福感、自我怀疑及抑郁的关系。结果发现：自尊在自我怀疑与主观幸福感之间起部分中介作用,这一中介作用的实现受到抑郁的调节,即自尊对主观幸福感的影响是有调节的中介效应。     

A computer art assessment system for the evaluation of space usage in drawings with application to the analysis of its relationship to level of dementia

Space usage in drawings is an important element that provides useful information about the drawer’s level of energy and psychological status. In this paper, we delineate the development of a computer system to objectively and quantitatively evaluate the space usage using regression models and computer analysis. We formulate regression models whose dependent variables are the grades and the ranks of space usages. We emphasize the contribution of the area of the painted convex hull in explaining the grades and ranks, which we propose as an independent variable. All possible independent variables including the area of painted regions and the number of colors used are evaluated by the computer algorithms developed in this study. We measure the validity of the system for evaluating grades and ranks. As an application to a real case, the system has been used to investigate the relationship between the space usage and the level of dementia.     

State-trace analysis: A method of testing simple theories of causation

An independent variable measures some aspect of a treatment applied to a person; a dependent variable measures some aspect of the treatment's effect upon the person. Two dependent variables will often covary with each other because they are affected by a common independent variable. A state trace is a graph which plots the value of one dependent variable as a function of another. (Thus, a state trace is a generalization of the yes-no receiver-operating-characteristic curve.) By appropriately analyzing state traces, it is possible to test theories concerning (a) the mechanisms by which independent variables affect dependent variables and (b) how these mechanisms differ from one population of persons to another. As an illustration, a study of long-term memory in normal persons, schizophrenics, and persons with organic brain syndrome is presented. The effects of number of word presentations and length of retention interval upon probability of word recall and recognition were investigated. The results were analyzed by state-trace analysis.     

A first-order method for estimating correlation coefficients

A rapid method of estimating a correlation coefficient is given. The method expresses the correlation coefficient as the ratio between two differences in sums (or means) of the dependent variable computed only for extremes of the bivariate distribution. A trial shows that this method gives results similar to the product-moment correlation coefficient. Extensions of the method to qualitative data are also suggested.     

The touch screen system in the pigeon laboratory: An initial evaluation of its utility

The touch screen system has been employed as a device for the measurement of responses and presentation of stimuli in pigeon laboratories for 4 years. Its contributions to the study of the pigeon’s behavior include the addition of response location information and an increase in the versatility of stimulus presentation. Along with the advantages of this system come some cautions. Limitations on response registration and time to construct stimuli are both concerns. Using response location as a dependent variable and distance of response registration from the pecking surface as an independent variable, the affordance of the touch screen system is investigated.     

Attitudes of Business Students’ Toward Plagiarism

This research examines the ethical orientations of students (ethical idealism, ethical relativism and Machiavellianism) towards their attitude to plagiarize. It also examines the moderating effect of religious orientation on the relationship of the independent variables toward students’ attitude towards plagiarism. Data was collected from 160 business diploma and undergraduate students from a local private college and a local public university in Malaysia. Results from the hierarchical regression analysis showed that ethical relativism and Machiavellianism had a positive relationship with students’ attitude towards plagiarism whilst ethical idealism was negatively related to students’ attitude towards plagiarism. Religious orientation was found to have no moderating effect on the relationship between the three independent variables: ethical idealism, ethical relativism and Machiavellianism and the dependent variable, students’ attitude towards plagiarism.     

The Gift of the Non aliud: Creation from Nothing as a Metaphysics of Abundance

Although the doctrine of creation from nothing may seem to instantiate a metaphysics of privation, in which the creature’s existence is ultimately one of humiliation, further reflection shows that this conclusion is not justified. For God to be over against the creature as an other who might threaten its autonomy in this way would imply a gap between God’s will and creaturely substance that is inconsistent with creation ex nihilo, according to which creatures are other than God, but God, as the exclusive ground of creaturely existence, is ‘Not other’ than they. This point disrupts the relationships of privation or dependence that mark inner‐worldly acts of creating. To be (always only partly) dependent on a created other is indeed to be revealed as less than sufficient unto oneself; but to be (wholly) dependent on the ‘Not other’ is to be fully sufficient to fulfil the promise of one’s existence.     

Parsing Heuristic and Forward Search in First‐Graders' Game‐Play Behavior

Seventy‐three children between 6 and 7 years of age were presented with a problem having ambiguous subgoal ordering. Performance in this task showed reliable fingerprints: (a) a non‐monotonic dependence of performance as a function of the distance between the beginning and the end‐states of the problem, (b) very high levels of performance when the first move was correct, and (c) states in which accuracy of the first move was significantly below chance. These features are consistent with a non‐Markov planning agent, with an inherently inertial decision process, and that uses heuristics and partial problem knowledge to plan its actions. We applied a statistical framework to fit and test the quality of a proposed planning model (Monte Carlo Tree Search). Our framework allows us to parse out independent contributions to problem‐solving based on the construction of the value function and on general mechanisms of the search process in the tree of solutions. We show that the latter are correlated with children's performance on an independent measure of planning, while the former is highly domain specific.     

Analysis of Effect for Single-Case Design Research

Single-case design (SCD) research is an experimental approach for analysis of an effect between an independent variable and dependent variable. Traditionally, analysis of effect for SCD has relied on visual analysis, an approach whereby a trained observer analyzes a visual display of the data. Recent advances in statistical approaches have been forwarded for SCD research in the literature to assist in the interpretation of intervention effects. This review outlines the logic of SCD and describes the varied approaches for the analysis of effect in SCD research.     

Health-Related Quality of Life during COVID-19 Pandemic: Assessing Impacts of Job Loss and Financial Support Programs in Japan

This cross-sectional study examined the association between job loss during the coronavirus disease 2019 (COVID-19) pandemic and health-related quality of life (HRQOL) in the Japanese working population and whether universal financial support program has a protective influence on the HRQOL. Two self-reported internet surveys were used to determine job loss during the pandemic: one was conducted between February and March 2020, just before the COVID-19 emergency declaration by the Japanese government (April 2020), and the other was conducted between August and September 2020. For the dependent variable, we used the EQ-5D-5L utility score (QOL utility score), which was assessed between August and September 2020. The independent variables were job loss after the state of emergency was declared and two types of government financial support (either universal support or support targeting child-raising households). The Tobit regression model was applied, adjusting for covariates. Job loss during the pandemic was negatively associated with the QOL utility score in the fully adjusted model; the coefficient (95% confidence interval [CI]) for job loss during the pandemic was −0.07 (−0.11 to −0.03). For the government financial support variables, the universal financial support program was associated with a better QOL utility score of the coefficient (95% CI), 0.05 (0.03 to 0.08). Job loss during the COVID-19 pandemic is negatively associated with HRQOL, while universal financial support is positively associated with HRQOL. Our study results imply that universal financial support during the COVID-19 era has a protective influence on an individual’s HRQOL.

     

Speed-accuracy tradeoff functions in choice reaction time: Experimental designs and computational procedures

The existence of tradeoffs between speed and accuracy is an important interpretative problem in choice reaction time (RT) experiments. A recently suggested solution to this problem is the use of complete speed-accuracy tradeoff functions as the primary dependent variable in choice RT ,experiments instead of a single mean RT and error rate. This paper reviews and compares existing procedures for generating empirical speed-accuracy tradeoff, functions for use as dependent variables in choice RT experiments. Two major types of tradeoff function are identified, and their experimental designs and computational procedures are discussed and evaluated. Systematic disparities are demonstrated between the two tradeoff functions in both empirical and computer-simulated data. Although all existing procedures for generating speed-accuracy tradeoff functions involve empirically untested assumptions, one procedure requires less stringent assumptions and is less sensitive to sources of experimental and statistical error. This procedure involves plotting accuracy against RT over a set of experimental conditions in which subjects’ criteria for speed vs. accuracy are systematically varied.     

两类常见的类别变量调节效应分析

类别变量在心理学和其他社科研究领域经常遇到,当自变量或调节变量为类别变量时,应当如何分析调节效应呢？详述了多类别变量的被试间设计和两水平被试内设计（因变量重复测量2次）的调节效应分析方法,并给出了分析流程。先进行调节效应的显著性检验,后用选点法或Johnson-Neyman法进行简单斜率检验。多类别变量被试间设计的简单斜率检验是先进行整体检验,后进行配对检验。用两个实际例子演示如何进行类别变量的调节效应分析,最后展望了两类设计的类别变量调节研究的拓展方向,例如更复杂的类别变量的调节模型等。     

Happiness and Globalization: A Spatial Econometric Approach

Based on the data of Gallup World Poll Survey (GWP), this study employs a spatial 2SLS (two stage least square) model to examines the impact of globalization on the level of happiness across 145 nations. We observe endogeneity of the spatial lag term (Wh) on happiness as well as spatial dependencies in the independent variables (WX’s) which represents indirect effects from a change in X’s in the neighboring regions. We observe contrasting spillover effects (own v/s neighboring effect) of the same explanatory variable generating positive or negative effect, respectively, across space. Further, an inverted ‘U’ Kuznet curve reveals a non-linear relationship between average happiness and happiness inequality. At low levels, an increase in well-being appears to hurt the poor; but beyond a certain threshold, it seems to reduce inequality. We observed among countries that happiness inequalities for developed regions are more when compared to developing regions.     

Irrational and Metacognitive Beliefs Mediate the Relationship Between Content Beliefs and GAD Symptoms: A Study on a Normal Population

Cognitive Behavioral Therapy (CBT), Rational Emotive Behavior Therapy (REBT) and Metacognitive Therapy (MCT) models show both similarities and differences in conceptualizing anxiety. This work assumes that REBT’s irrational and MCT’s metacognitive beliefs play a mediation role while CBT’s disorder specific content beliefs act as triggers. This hypothesis is tested using a regression model in which metacognitive and irrational beliefs play a mediation role while content disorder beliefs are independent variables. This paper applied this model to generalized anxiety disorder (GAD), a psychiatric diagnosis in which anxiety is the major feature. In GAD, the specific content beliefs are negative problem orientation and intolerance of uncertainty. Therefore, 149 non clinical subjects completed 4 self-report questionnaires: the Negative Orientation to the Problems Questionnaire and the Intolerance of Uncertainty Scale as measures for content cognitive beliefs, the Attitudes and Beliefs Scale for irrational beliefs, and the Metacognitive Questionnaire 30 Items Version for metacognitive beliefs. The generalized anxiety disorder questionnaire was chosen in order to measure anxiety as dependent variable. Regression analyses confirmed that irrational and metacognitive beliefs mediate the relation between cognitive content beliefs and GAD. We clinically interpret mediation as a second level regulation.     

基于人工神经网络的一种效度凭证求取方法

针对基于统计学的效度凭证求取方法所存在的问题,提出了基于人工神经网络的效度凭证求取方法。蒙特卡罗模拟实验和对实际数据的分析表明,当测验分数和效标分数为单变量且非线性关系时,或者测验分数和效标分数为多变量时,运用神经网络方法可以比统计学方法更好地求取心理测验效度的基于和其他变量关系的凭证。