The point biserial correlation is used to measure the relationship between a binary variable, x, and a continuous variable, y. In psychology, the point biserialPoint-biserial相关。 Point-biserial相关适用于分析二分类变量和连续变量之间的相关性。 其实，该检验是Pearson相关的一种特殊形式，与Pearson相关的数据假设一致，也可以在SPSS中通过Pearson相关. 接下来，我们将使用R包ggcorrplot. Example data set from Gorsuch (1997) for an example factor extension. Point-biserial correlations are defined for designs with either fixed or random group sample sizes and can accommodate unequal variances. Biserial Correlation. The rank biserial correlation measures the. Cohen’s D is the effect size measure of choice for all 3 t-tests: the independent samples t-test, the paired samples t-test and; the one sample t-test. The corrected point biserial correlation revealed that the items with 3 functional options were psychometrically as effective as 5-option items. I would like to see the result of the point biserial correlation. point biserial correlation coefficient. Point-biserial correlation is commonly used in: A. 如何使用SPSS进行相关性分析（三）：实战案例操作（内附案例数据）. The boiling. The Pearson Correlation is the actual correlation. The point biserial correlation is used to measure the relationship between a binary variable, x, and a continuous variable, y. Millie. We would like to show you a description here but the site won’t allow us. Parameters: score_func callable, default=f_classif. , violence) and. 211 CHAPTER 6: AN INTRODUCTION TO CORRELATION AND REGRESSION CHAPTER 6 GOALS • Learn about the Pearson Product-Moment Correlation Coefficient (r) • Learn about the uses and abuses of correlational designs • Learn the essential elements of simple regression analysis • Learn how to interpret the results of multiple regression • Learn how. Consequently the Pearson correlation coefficient is. Point Biserial. This simple multiple linear regression calculator uses the least squares method to find the line of best fit for data comprising two independent X values and one dependent Y value, allowing you to estimate the value of a dependent variable (Y) from two given independent (or explanatory) variables (X 1 and X 2). It measures the relationship between two variables: a] One continuous variable. To calculate the point-biserial correlation between x and y, we can simply use the =CORREL() function as follows: The point-biserial correlation between x and y is 0. n = sample size. • The independent variable is the question which asks “What is your gender?___ male ____ female” (Dichotomous) • The. Consider the marks obtained by 10 students in a mathematics test as given below: 55 36 95 73 60 42 25 78 75 62. The type of correlation coefficient shown on this row. For example, given the following data: set. 0], I get a correlation of 1. Henrysson, S. g. g. Table 10. Correlations of -1 or +1 imply a determinative. 01 for a sample size of 9. † 0. Let p = probability of x level 1, and q = 1 - p. 1. (2-tailed) is the p -value that is interpreted, and the N is the. The inter-item correlation range from 0. Expert Answer. stats. Share. Calculation of the point biserial correlation. 0 to +1. A negative point biserial indicates low scoring students on the total test The point biserial correlation is the value of Pearson's product moment correlation when one of the variables is dichotomous and the other variable is metric. Like other correlation coefficients, this one varies between -1 and +1 with 0 implying no correlation. corrcoef将返回一个表格类型的输出，代表变量之间的相关性，范围从. In that example, if we chose a significance level of 5% and knowing that the P-value is equal to 0. Assume that X is a continuous variable and Y is categorical with values 0 and 1. Adapun manfaat dari penulisan makalah ini adalah sebagai berikut 1. The Kuder-Richardson Formula 20 is as follows: KR-20 = (k / (k-1)) * (1 – Σp j q j / σ 2). This correlation is related to, but different from, the biserial correlation proposed by Karl Pearson. Binary variables are variables of nominal scale with only two values. 1 Manfaat Penulisan. 42. The point biserial correlation coefficient PBCC: Measures test item discrimination Ranges from -1. For example, suppose we’d like to measure the correlation between hours studied and exam score for. Downloads. Point-biserial correlation is used to measure the relationship between a binary variable, x, and a continuous variable, y. Planar point location -- example. where X is plotted on the x-axis and Y is plotted on the y-axis. g. Calculate a point biserial correlation coefficient and its p-value. If two variables are correlated, then one of the variables causes the other. The point-biserial correlation is a commonly used measure of effect size in two-group designs. Since it would take too long to go around and weigh thousands of. Compute the point biserial correlation using the formula The point-biserial coefficient is a Pearson correlation between scores on the item (usually 0=wrong and 1=correct) and the total score on the test. on the test). It is equivalent to pearsonr. Point biserial correlation (magnitude) is Pearson correlation (magnitude) between a continuous variable and a binary variable that is encoded with numbers (e. 1. mstats. Example 1: Exam Scores. Solution: Let us first arrange the given values in ascending order. phi coefficient. Pearson's r, Spearman's rho), the Point-Biserial Correlation Coefficient measures the strength of association of two variables in a single measure ranging from The point-biserial correlation is equivalent to calculating the Pearson correlation between a continuous and a dichotomous variable (the latter needs to be encoded with 0 and 1). Similar to the Pearson correlation coefficient,. An item must have a distractible index where the other options are incorrect and plausible. Calculates a point biserial correlation coefficient and the associated p-value. ICLUST. Suppose that the calculated t value for a two-group experiment with 43 participants per group is 4. New estimators of point-biserial correlation are derived from different forms of a standardized mean difference. 0 to a high of +1. Values close to ±1 indicate a strong positive/negative relationship, and values close. This is equivalent to an independent t test (the equivalent between point-biserial and r is well known). The point-biserial correlation correlates a binary variable Y and a continuous variable X. The point biserial correlation is used to measure the relationship between a binary variable, x, and a continuous variable, y. 0 to +1. stats. These are crucial for evaluating whether the coding scheme and person responses accord with the requirement that. A large positive point-biserial value indicates that students with high scores on the overall test are also getting the item right (which we would expect) and that students with low scores on the overall test are getting the item wrong (which we would also expect). How Is the Point-Biserial Correlation Coefficient Calculated? The data in Table 2 are set up with some obvious examples to illustrate the calculation of rpbi between items on a test and total test scores. Since 23 is the lowest value and 54 is the highest value, therefore, the range of the observations will be; Hence, 31 is the required answer. 0046 we can conclude that the observed Point-Biserial Correlation between the number of hours. stats. Since this number is positive, this indicates that when the variable x takes on the value “1” that the variable y tends to take on higher values compared to when the. 21816 and the corresponding p-value is 0. A large positive point-biserial value indicates that students with high scores on the overall test are also getting the item right (which we would expect) and that students with low scores on the overall test are getting the item wrong (which we would also expect). The point-biserial correlation (or the point-polyserial correlation) is the Pearson correlation between on the observations on an item (or by a person) and the person raw scores or measures (or item marginal scores or measures). Definisi Point Biserial adalah korelasi yang digunakan untuk satu variabel diukur dalam skala interval atau rasio dan variabel lainnya adalah variabel nominal dengan dua tingkatan klasifikasi (variabel dikotomi) Penyelesaian Dimisalkan x1=Laki-laki ; Korelasi Point. Like other correlation coefficients, this one varies between -1 and +1 with 0 implying no correlation. Phi-coefficient. Sample qualitative table with variable descriptions. Example 1: Find the range of given observations: 32, 41, 28, 54, 35, 26, 23, 33, 38, 40. , high, medium or low). Calculate a Spearman correlation coefficient with associated p-value. ” scipy. TanjungrejoMalang. This is the matched pairs rank biserial. scipy. I have continuous variables that I should adjust as covariates. Basic rules of thumb are that 8 |d| = 0. Point Biserial Indicates that exam takers who performed well on the exam also selected the correct response, so this is a good discriminator between high‐scoring and low‐scoring students. The command corr can be used to produce a correlation matrix for a particular dataset in Stata. The Kuder-Richardson Formula 20, often abbreviated KR-20, is used to measure the internal consistency reliability of a test in which each question only has two answers: right or wrong. pdf from ANALYTICS 12 at Welingkar Institute Of Management Development & Research, Mumbai. Cramer's V D. Point-Biserial. Correlation between family configuration and grade point average; nominal and interval. Augusta University surpasses 10,000-student mark with largest-ever freshman class. The point biserial correlation is simply a special case of the Pearson product moment correlation applied to dichotomous and continuous variables. The point-biserial correlation is a commonly used measure of effect size in two-group designs. 9] Zero-Order Correlation Point-biserial correlation for all observations including the current observation in the raw score. g. Since the correlation coefficient is positive, this indicates that when the variable x takes on the value “1” that the variable y tends to take on higher values compared to when the variable x takes on the value “0. Istilah korelasi ini cukup banyak digunakan dalam statistika, khusunya pada penelitian. -1 indicates a perfectly negative correlation. These are the top rated real world Python examples of scipy. See more below. scipy. You also understand that the misuse or misappropriation of the University's information technology resources or violation of any applicable law, rule. Heatmap was used. Like other correlation coefficients, this one varies between -1 and +1 with 0 implying no correlation. It ranges from 0 to 1 where: 0 indicates no association between the two variables. b] One naturally binary variable. mstats. Lomba otonomi award 2016. Point-biserial correlation is used to measure the strength and direction of the relationship between one continuous (numerical) variable and categorical variable (2 levels) When your p-value is. The point biserial correlation, r pb, may be interpreted as an effect size for the difference in means between two groups. Calculate a point biserial correlation coefficient and its p-value. pandas. If the binary variable is truly dichotomous, then the point biserial correlation is used. 1. Some minimal guidelines are that. The point biserial correlation is used to measure the relationship between a binary variable, x, and a continuous variable, y. pointbiserialr. Values range from +1, a perfect positive relation; through zero, no association at all; to −1, a perfect negative correlation. DataFrame. Like other correlation coefficients, this one varies between -1 and +1 with 0 implying no correlation. A biserial correlation (not to be confused with the point-biserial correlation which is just a Pearson correlation) is the latent correlation between x and y where y is continuous and x is dichotomous but assumed to represent an (unobserved) continuous normal variable. 218163 . Gorsuch. (1966). The point biserial correlation is used to measure the relationship between a binary variable, x, and a continuous variable, y. feature_selection. Nov 9, 2018 at 20:20. Uji validitas yang akan digunakan dengan menggunakan teknik korelasi point biserial, seperti dijelaskan dalam Brown (1988,p. Help researchers to automatically detect depression status of a person. g. Binary variables are also called dummy. stats. The formula to calculate the t-score is: t = r√(n-2) / (1-r2) where: r: The correlation coefficient. The dataset has 200 samples and we cannot count on the distribution of the numerical IV to be normal. An advantage of the phi and point biserial coefficients is that they can take negative values. Range is one of four simple tools of statistics: Mean – The arithmetic mean of a set of numbers is its average (the sum of the numbers divided by the quantity of numbers). SelectPercentile (score_func=<function f_classif>, *, percentile=10) [source] ¶. The connection between a binary variable, x, and a continuous variable, y, is measured using point-biserial correlation. Table 8 The difficulty p discrimination D and point biserial correlation r pb. In SPSS, click Analyze -> Correlate -> Bivariate. 605 0. value of y when x=0. I googled and found out that maybe a logistic regression would be good choice, but I am not. Like other correlation coefficients. Calculates a point biserial correlation coefficient and its p-value. The point biserial correlation is used to measure the relationship between a binary variable, x, and a continuous variable, y. we can say the correlation is positive if the value is 1, the correlation is negative if the value is -1, else 0. Mode – The mode is the most commonly occurring number in a data set. P Value from Pearson (R) Calculator. As in all correlations, point-biserial values range from -1. Questions with a negative average score appear below zero in the Grade Distribution graph. psych. Like other correlation coefficients, this one varies between -1 and +1 with 0 implying no correlation. scipy. Convert categorical variable into dummy/indicator variables. Missing values are considered pair-wise: if a value is missing in x, the corresponding value in y is masked. Means and full sample standard deviation. Test at α = 0. The point-biserial correlation is a special case of the product-moment correlation in which one variable is continuous and the other variable is binary (dichotomous). Pearson r correlation: Pearson r correlation is the most widely used correlation statistic to measure the degree of the relationship between linearly related variables. Mencari Standar Deviasi total (SDt) dengan rumus 4. csv：特征约简后的数据文件；Convert the data from this problem into a form suitable for the point-biserial correlation (use 1 for the binge-watching participants and 0 for participants who watched the show in daily sessions), and then compute the correlation. 0. The point biserial correlation coefficient ( rpb) is a correlation coefficient used when one variable (e. Calculate a point biserial correlation coefficient and its p-value. The point biserial correlation is a special case of the product-moment correlation, in which one variable is continuous, and the other variable is binary. Divide the sum of positive ranks by the total sum of ranks to get a proportion. 9 cognitive variables from Holzinger and 8 emotional variables from Burt. In this case, it is simple – all points should be connected, so group=1. . A more formal variant is logistic regression of course indicator against year of graduation. (symbol: rpbis; rpb) a numerical index reflecting the degree of relationship between two random variables, one continuous and one dichotomous (binary). It is equivalent to pearsonr. For a set of ungrouped data, we can follow the below-given steps to find the median value. Point-biserial r is usual r used to correlate one variable dichotomous the other continuous. Correlations of -1 or +1 imply a determinative. 方法：Point-biserial相关系数（Pearson相关的一种特殊形式，只反映线性相关）The point biserial correlation is the value of Pearson's product moment correlation when one of the variables is dichotomous and the other variable is metric. Point-Biserial Correlation The Point-Biserial correlation coefficient, referred to as rpb, is a special case of Pearson in which one variable is quantitative and the other variable is dichotomous and nominal. item-criterion relationship (usually point-biserial or biserial correlations to assemble items for a te~t (Guilford, 1936). Calculate a point biserial correlation coefficient and its p-value. vDataFrame. Exactly how the measurement is carried out depends on the type of variable involved in the analysis. 20 indicates a small effect; |d| = 0. 0353 SI sites Polytrichum mosses 0. Input array. The Pearson’s correlation helps in measuring the strength (it’s given by coefficient r-value between -1 and +1) and the existence (given by p-value. For a sample. The point biserial correlation is used to measure the relationship between a binary variable, x, and a continuous variable, y. The coefficient is calculated as follows: The subscripts in (3. Taller people tend to be heavier. By logging in to this system, you agree to abide by all applicable federal, state, and local laws, State of Florida Board of Governors rules, and University rules, regulations and policies. For the most part, you can interpret the point-biserial correlation as you would a normal correlation. If the binary variable is truly dichotomous, then the point biserial correlation is used. A high point-biserial reflects the fact that the item is doing a good job of discriminating your high-performing students from your low-performing students. 今天导师在群里分享了一个链接 23 个优秀的机器学习训练公共数据集，看了一下，决定对帕尔默企鹅数据集（Palmer Archipelago (Antarctica) penguin data）做一些分析。. In SPSS, click Analyze -> Correlate -> Bivariate. Now we can either calculate the Pearson correlation of time and test score, or we can use the equation for the point biserial correlation. 0. The rank biserial correlation measures the. The point biserial correlation is used to measure the relationship between a binary variable, x, and a continuous variable, y. This module contains a large number of probability distributions, summary and frequency statistics, correlation functions and statistical tests, masked statistics, kernel density estimation, quasi-Monte Carlo functionality, and more. Divide the result of Step 12 by the result of Step 5. Lichens are indicated as ‘†’. pointbiserialr(a, b) np. The tests of Kruskal-Wallis, Shapiro-Wilk, Cramer’s V, Point biserial as well as Spearman rho were used for the analyses. stats. of different plant and animal species. We can assign a value of 1 to the students who passed the test and 0 to the students who failed the test. Data yang sudah di ranking. 格安ノートパソコン☆富士通製 Lifebook A574K☆第4世代 高速版Core i5搭載☆ブルーレイドライブ☆新品SSD 512G☆DDR3メモリ8G☆Officeインストール済み ★安定動作で定評のある富士通製15．6インチ画面の薄型ノート. Like other correlation coefficients, this one varies between -1 and +1 with 0 implying no correlation. 7] Point Biserial Correlation: It is a special case of Pearson’s correlation coefficient. 19 . Y) is dichotomous; Y can either be “naturally” dichotomous, like whether a coin lands heads or tails, or an artificially dichotomous variable, like whether a test score is higher or lower than the median score. The rest is pretty easy to follow. point biserial translation in English - English Reverso dictionary, see also 'point, point, point, accumulation point', examples, definition, conjugation1 n-uncount The boiling point of a liquid is the temperature at which it starts to change into steam or vapour. Dapat menambah pengetahuan dan wawasan terkait Korelasi Biserial dan Korelasi Point Biserial. 565 using the critical values for PPMC table. g. 63 and (in. Select features according to a percentile of the highest scores. dices used included forms of the point-biserial, biserial, phi and tetrachoric coefficients, in addition to Flanagan's (1939) approximation of the product-moment correlation coefficient (rF), Gulliksen's (1950) item reliability index (ri,si), and Findley's (1956) difference index (D). The point-biserial correlation coefficient is 0. A package for personality, psychometric, and psychological research. . Most of these functions are similar to those in scipy. The point biserial correlation coefficient is a true Pearson product-moment correlation and therefore the same assumptions apply. 1. For line graphs, the data points must be grouped so that it knows which points to connect. Definisi Point Biserial adalah korelasi yang digunakan untuk satu variabel diukur dalam skala interval atau rasio dan variabel lainnya adalah variabel nominal dengan dua tingkatan klasifikasi (variabel dikotomi) Penyelesaian Dimisalkan x1=Laki-laki ;. • Point biserial correlation is an estimate of the coherence between two variables, one of which is dichotomous and one of which is continuous. pointbiserialr (x, y) Calculates a point biserial correlation coefficient and its p-value. Calculate a point biserial correlation coefficient and its p-value. arange(6) stats. 51928. The point biserial correlation is used to measure the. Correlations of -1 or +1 imply a determinative. T-Tests - Cohen’s D. X is categorical with only two levels and Y is categorical with only two levels. Calculates a point biserial correlation coefficient and its p-value. Note that Cohen’s D ranges from -0. 1 to +1. In most situations it is not advisable to artificially dichotomize variables. Example: The median of 2,3,4 is 3. 43 through -2. org, alternative domains: 19. But with your low sample size of n = 85 n = 85, do. 3589. Like other correlation coefficients, this one varies between -1 and +1 with 0 implying no correlation. As in all correlations, point-biserial values range from -1. The magnitude (absolute value) of the point biserial correlation coefficient between gender and income is = Create a new variable "children" whose value is O if the person. core. stats库来计算这些变量之间的点比塞尔相关关系。np. seed(23049) x <- rnorm(1e3) y <- sample(0:1, 1e3, replace = TRUE)The point biserial correlation is a special case of the Pearson correlation and examines the relationship between a dichotomous variable and a metric variabl. tions were measured using point biserial correlations – for each of the physical performance measures – to the cause (other causes versus slips and trips), location (indoors versus outdoors), and injuries (no other injuries versus other injuries reported). Name the field "Pearson Correlation Coefficient", enter the following formula and click OK : CORR ( { INCLUDE [Customer Name] : SUM ( [Sales (Orders)])}, { INCLUDE [Customer Name] : SUM ( [Sales])}) Note: [Customer Name] should be. Link to docs: Since the point biserial correlation is just a particular case of the popular Peason's product-moment coefficient, you can use cor. It is a special case of the Pearson’s product-moment correlation , which is applied when you have two continuous variables, whereas in this case one of the variables is. Point-biserial correlations are defined for designs with either fixed or random group sample sizes and can accommodate unequal variances. Find the difference between the two proportions. Statistical analysis was performed using the R statistical programming software Version 4. C. pointbiserialr. S. mstats. 0 to 1. It has obvious strengths — a strong similarity. R packages|ggcorrplot : 相关矩阵的可视化 (热图) 在R中可视化相关矩阵 (correlation matrix)的最简单方法是使用corrplot包。. scipy. Point-biserial correlations of items to scale/test totals are a specific instance of the broader concept of the item-total correlation (ITC). Dalam analisis korelasi terdapat satu dictum yang mengatakan “correlation does not imply causation”,. The connection between a binary variable, x, and a continuous variable, y, is measured using point-biserial correlation. Calculate a point biserial correlation coefficient and its p-value. Point-biserial correlations are defined for designs with either fixed or random group sample sizes and can accommodate unequal variances. New estimators of point-biserial correlation are derived from different forms of a standardized mean. New estimators of point‐biserial correlation are derived from different forms of a standardized. 1. g. BMC Pregnancy and Childbirth (2023)Point-biserial 相关性分析是一种用于连续和二元变量之间的相关性检验方法。. As such, it is sometimes called an item-total correlation. 384 views • 9 slides. Note: We could have also calculated this using. Point-Biserial Correlation Calculator. You're right that there is a difference in using the sample vs population standard deviation estimate, which will cause the point estimate the change. Calculate the square root of the result of Step 13, using a calculator or a computer spreadsheet. stats. 16 with an average of . point-biserial correlation coefficient. TanjungrejoMalang. 670 0. pointbiserialr) Output will be a list of the columns and their corresponding correlations & p-values (row 0 and 1, respectively) with the target DataFrame or Series. array([1,1,1,2,2,2]) b = np. Correlation measures the relationship between two variables. Input array. 0. ). SelectPercentile¶ class sklearn. kendalltau (x, y[, initial_lexsort]) Calculates Kendall’s tau, a correlation measure for ordinal data. 00. In statistics, the phi coefficient (or mean square contingency coefficient and denoted by φ or rφ) is a measure of association for two binary variables . 30 and aboveStep 1 : Go to Analyze > General Linear Model → Univariate. On datatab. 0 indicates no correlation. Correlations of -1 or +1 imply a determinative. rR = 1– 6Σidi2 n(n2– 1) where n is the number of data points of the two variables and di is the difference in the ranks of the ith element of each random variable considered. Age was also catego-rized as under age 65 and age 65 and older in orderExample scatterplots of various datasets with various correlation coefficients. Since the point biserial correlation is just a particular case of the popular Peason's product-moment coefficient, you can use cor. 4. stats but might have small. r语言 如何计算点-比泽尔相关关系 在这篇文章中，我们将讨论如何在r编程语言中计算点比泽尔相关。 相关性衡量两个变量之间的关系。我们可以说，如果数值为1，则相关为正，如果数值为-1，则相关为负，否则为0。点比塞尔相关返回二元变量和连续变量之间存在的相关值。Phi coefficient. In addition to their unadjusted modes, the point-biserial. The chapters correspond to the procedures available in PASS. An example of a positive correlation would be height and weight. The process of the PBCFS technique is the feature selection from the. g. 8] Spearman Rank Correlation It is the nonparametric version of the Pearson correlation coefficient. Since the point-biserial correlation is simply the special case of the Pearson product moment correlation applied to a dichotomous and a continuous variable, the coefficients produced by CORRELATIONS are point-biserial correlations when these types of variables are involved. false. Each chapter generally has an introduction to the topic, technical details (including power and sample size calculation details), explanations for the procedure. corrcoef(a, b) 我们可以使用scipy. 00) it indicates that the students who scored in the top 50% of. You. I need to investigate the correlation between a numerical (integers, probably not normally distributed) and a binary (1,0) IV in Python. Spearmon r C. Note on rank biserial correlation. If you are looking for "Point-Biserial" correlation coefficient, just find the Pearson correlation coefficient. pointbiserialr uses a t-test with n-1 degrees of freedom. So would it help to realise this is a standardised mean difference of about . In this article, we will discuss how to calculate Point Biserial correlation in R Programming Language. scipy. open statistical software for the desktop and cloud. Under Type of power analysis, choose ‘A priori…’, which will be used to identify the sample size required given the alpha level, power, number of predictors and. The Point-Biserial Correlation test was used for gender, KPS, language, conditions affecting lung capacity, and previous BH radiotherapy history, whereas the Pearson test was utilized for lung volume and age. the point-biserial correlation (only independent samples t-test). To determine if there is a difference between two samples, the rank sums of the two samples are used rather than the means as in the t-test for independent samples . cov. The point-biserial correlation coefficient is 0. Computes the Covariance Matrix of the vDataFrame. Properties: Point-Biserial Correlation. This is inconsequential with large samples. pandas. 0 15. I need to investigate the correlation between a numerical (integers, probably not normally distributed) and a binary (1,0) IV in Python. The Formula for Spearman Rank Correlation. scipy. 0. A point-biserial correlation is used to measure the strength and direction of the association that exists between one continuous variable and one dichotomous variable. The point biserial correlation is used to measure the relationship between a binary variable, x, and a continuous variable, y. Correlations of -1 or +1 imply a determinative. Basically, It is used to measure the relationship between a binary variable and a continuous variable. , stronger higher the value. in the same circumstances when a repeated-measures t test would be used d. 218163. 1 The point-biserial correlation between the covariates of age and gender was weak (r = . P Value from Pearson (R) Calculator. Sample correlation table. Point-Biserial The point-biserial correlation coefficient, referred to as r pb, is a special case of Pearson in which one variable is quantitative and the other variable is dichotomous and nominal. Simply run a CORRELATIONS between your dichotomous and.