%PDF-1.5 % Great job! Recall that these researchers categorized participants as having low or high self-esteem, put them into a negative or positive mood, and measured their intentions to have unprotected sex. Recently, LeBel et al. However, checking the articles revealed one missing article and one duplicate article. Number of articles, number articles with at least one error, number of articles with at least one large error, and number of articles with at least one gross error for each journal separately for articles in which outliers are removed and for articles that did not report any removal of outliers. 318 0 obj <>stream But before we look at how to understand this information lets first set SPSS up to report it. Because the number of errors in an article is dependent of the number of reported statistics, we used a negative binomial regression in which we controlled for the number of reported statistics (log) to predict the number of errors (for all, large, and gross errors separately). We preregistered our hypotheses and methods and analyzed the data at the level of articles. In this section, we focus on presenting descriptive statistical results in writing, in graphs, and in tablesfollowing American Psychological Association (APA) guidelines for written research reports. HUr0{f@d2c;iNzbc:5xl2i8$EH v72p~ :aUH6"b ZJ~M-x]M*bx9M}KKS$K _ Again this is more art than science and comes down to how you interpret the image. For comparing the magnitude of p-values and sample sizes across the two types of articles, we used a non-parametric Wilcoxon test and a bootstrap procedure. One-way ANCOVA in SPSS Statistics | Understanding and reporting the And when it comes to writing it up, again you just say what you see. Like graphs, tables can be used to present large amounts of information clearly and efficiently. Another explanation might be that articles in which nothing is reported about removing outliers, actually did involve the removal of outliers (or other data points). This will allow us to check for independent errors. Number of statistics, number of errors, number of large errors, and number of gross errors for each journal separately for articles in which outliers were removed and for articles that did not report any removal of outliers. You can report these results in a similar manner to the one-way ANOVA, but substituting in adjusted means rather than original means. Ive been stuck on conducting a regression analysis for days! Almost there! Otherwise, your data has met the assumption of collinearity and can be written up something like this: Tests to see if the data met the assumption of collinearity indicated that multicollinearity was not a concern (IQ Scores, Tolerance = .96, VIF = 1.04; Extroversion, Tolerance = .96, VIF = 1.04).
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