1
vote
1answer
69 views

Which statistical method should I use?

I wish to analyse the following : Independent Variable (IV): User of online financial reports Perceived usefulness and Perceived Quality (Sub to Relevance, Reliability, Understandability, ...
-1
votes
0answers
21 views

Formula for computing variable from Likert-type scale

I have this model: $$4F + 4.8N = a + bM +cP + dH$$ where $F$, $N$, $M$, $P$, $H$ are variables measured on a 7-point Likert's type scale and $b, c, d$, are coefficients and $a$ is a constant. I am ...
1
vote
2answers
71 views

Help with Anova of categorical and continuous variable in R and SPSS output

I am having some trouble running an Anova on categorical variables in R and matching SPSS output. What I need to do is run an anova on the dataset below (its a made up data set). But, I need to know ...
0
votes
1answer
79 views

Why does SPSS throw out variables in OLS (and how can I prevent this from happening)?

My dataset consists of 4,000 companies from 24 countries. Each company has certain features, the IV's. Consider the variable list below: green is the DV, red the IV's and blue are dummies (one for ...
0
votes
0answers
23 views

Impact of some dimensions of one construct on the another construct in a 2-construct model

I have made a model consisting of two constructs, say parents and children, each with several dimensions and set of items (variables). I have used a mixture of Exploratory Factor Analysis (EFA) and ...
1
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0answers
23 views

Test regression parameter against a constant in SPSS

This is a pretty basic question, but I can't find an answer by searching for different statements of the same problem. Is there a straightforward way to test if a regression parameter is different ...
0
votes
1answer
33 views

spss: working with two binary/dummy variables

Am trying to set a few binary/dummy variables against each other, i.e. propensity_to_dance and gender. I assume that it' ok to ...
0
votes
0answers
21 views

spss 20 for mac: how to get probabilities after running a binary logistic regression [duplicate]

I have a binary variable that I'm investigating in SPSS, inclination_to_dance. I have another linear variable as well, ...
5
votes
4answers
297 views

What regression analysis should I perform on my data and why?

I am a law student researching which factors influence the CSR (corporate social responsibility, GSE_RAW) behavior of companies. As my studies didn't offer any ...
0
votes
0answers
48 views

How do I perform a Mixed model analysis on my data in SPSS?

In my thesis I'm trying to discover which factors influence the CSR (corporate social responsibility, GSE_RAW) behavior of companies. Two groups of possible factors ...
2
votes
1answer
157 views

Why do coefficients and significance levels change so much in my OLS? Do I need MIXED model instead?

Please consider the following OLS model: As a rule of thumb, a VIF score of max. 5 is considered acceptable collinearity in most fields. So for the better part I believed this model to be quite ...
0
votes
3answers
114 views

How to report SPSS OLS output?

Consider the model below: In many research papers, significance of statistical results are indicated by *, **, and ...
0
votes
0answers
20 views

Output of logistic regression model [duplicate]

I have built a logistic regression model using SPSS to predict a variable (0 or 1) The coefficients are as below: -0.005, 0.132, 1.349, -1.321,-0.265,-0.981, intercept = -1.522 when I sub in the ...
0
votes
1answer
59 views

Standardizing standardized data?

Let's assume I standardize my data in SPSS through converting them to z-values. Then I save my dataset and load it into AMOS to do some regressions. Now, the data is already standardized, but AMOS ...
0
votes
3answers
100 views

Best method to analyse whole population data

I have data of an entire population (N=27). I would like to find out which variables (of many) have the greatest effect on one certain dependent variable, and how much of its variance can they ...
0
votes
1answer
112 views

Multinomial log. regression in SPSS with a dummy independent variable

This is my test design which is simply a grouping variable: When I choose to regress a gender variable (w/m) onto this grouping variable with a multinomial logisitic regression model I'll observe ...
0
votes
2answers
261 views

Linear Regression Analysis using SPSS (I think)

I am trying to conduct a study into whether or not female board presence affects firm performance. My background is accountancy and business NOT maths or statistics and so I don't really understand ...
0
votes
0answers
104 views

Does SPSS give factor scores for mean subtracted variables?

From the Johnson's book, I can see the orthogonal factor model is as follows: $X-\mu=LF+\epsilon$ So if I use SPSS for extracting factor scores from a factor analysis of several variables, then am I ...
1
vote
1answer
146 views

Correlate continuous data with dichotomous data, with correction for an ordinal variable?

I want to study association b/w continuous data (age) and dichotomous data (complication: yes/no), with "correction" for an ordinal variable (intra-operative nerve laesion). I have a database of 427 ...
0
votes
1answer
77 views

How to regress a time series of proportions?

Every month, an organization surveys some of its customers (the total number of customers is also known). The sampled customers answer a survey with a dozen or so questions; sometimes, customers ...
0
votes
0answers
118 views

Performing regression and correlation in SPSS

I hope you are doing good, This is Khawaja Fawad Latif - Sir, i am enrolled in PhD and currently working on my Rresearch Proposal. Sir i have this one question if you could kindly answer my query i ...
0
votes
2answers
140 views

CI for logistic regression

What does it means if no CI was given for binary logistic regression analysis in SPSS output?
0
votes
1answer
115 views

Dealing with multicollinearity by separating common variance

On this page, I read about multiple ways to deal with multicollinearity. I determined that the last method suggested may be best for my purposes. I copied it below: Treat the common variance as a ...
0
votes
0answers
171 views

Why are these hierarchical linear regression results in R and SPSS different?

When I try to use the data and example for HLR from this example dataset taken from this post in the R Tutorial Series on hierarchical linear regression the results don't match when I try to use the ...
1
vote
1answer
145 views

Correlation of variable corrected for age in SPSS

We have measured reading speed in patients with diabetic eye disease. What we have found is that reading speed is faster in younger patients and in those who has better vision as you would expected. ...
0
votes
3answers
153 views

SPSS Interesting analysis types: Beyond the basics

Following a previous question I made I'd like to state once more that this is my first attempt at analyzing data with SPSS. I have encoded and transformed my data properly and I also used some of the ...
1
vote
2answers
100 views

Regression with missing values

Please help. I have 3 IVS and 1 DV in my model. The 3 IVs are rated by 150 Middle Managers while 50 Directors rate the DV. I need to conduct multiple regression. However for cases (rows in SPSS), ...
1
vote
0answers
244 views

Entering panel-data (cross-sectional time-series data) into SPSS

I don't know how to enter pooled data (I have data about 42 countries over 7 years per variable) into SPSS and then run a regression. So far, SPSS does not assign the observations to a certain ...
1
vote
1answer
415 views

Ordinal regression with categorical covariates and predictors

I am trying to do an ordinal logistic regression (ordinal outcome variables with more than 2 categories) with nominal (more than 2 categories for some) predictor variables, as well as nominal (more ...
1
vote
0answers
168 views

Help on Regression Analysis (ROC, multinomial)

I am currently looking at continuous data and seeking a correlation with the presence (and severity, ie, normal, mild, moderate, severe) of a disease entity. Now, so far, running Spearman on SPSS, ...
5
votes
2answers
390 views

Cox regression when reference group had zero events

I would appreciate some advise on an a problem I ran into. I use SPSS for statistical analysis of a study. The study look into how a blood test predicts mortality with patients followup of 1 year. ...
2
votes
2answers
736 views

Comparing regression coefficient with same model but two distinct samples

I am currently completing my dissertation. My study is cross-cultural and looks at predictors and inhibitors to adoption of technology in two countries (Thailand and Australia). I have a hypothesised ...
0
votes
0answers
25 views

Interpretation of a non-significant Rsquare change in multiple regression [duplicate]

Possible Duplicate: Significance of coefficients in linear regression: significant t-test vs non-significant F-statistic So in running a multiple regression in SPSS with 6 continous ...
3
votes
2answers
211 views

Converting SPSS syntax for regression to Stata commands

I am running a series of regressions to eliminate the effects of IQ, language ability and age from my variables (task performance). To do this, the variable is entered as the dependent variable (e.g. ...
2
votes
2answers
111 views

Factor analysis or just stick with compare means?

I would be grateful if somebody could assist me with the questions below This is for my dissertation (I am relatively new to SPSS and indeed to statistics). I have a small set of cases (N=41) of ...
2
votes
0answers
237 views

Seeking an effect-size measure for simple effects in binary logistic regression in SPSS [closed]

I am trying to get an effect-size measure for simple effects in a binary logistic regression. I am using the GENLIN procedure in SPSS; here is the syntax: ...
1
vote
1answer
609 views

What does a chi-square test mean when no p-value is returned?

I did multinomial logistic regression using SPSS chi-square is .000 , df is 0 and significance =. So what does it mean significance = .?
0
votes
0answers
202 views

nonparametric multiplicative regression (nonparametric logistic regression) in SPSS [closed]

How can I perform nonparametric multiplicative regression (NPMR, nonparametric logistic regression) in SPSS? Can you let me know the procedure step by step?
0
votes
1answer
138 views

Comparing means - 2 repeated measures variables, controlling for covariate with heterogeneous slope

I have a 2 level repeated measures DV of accuracy, and a covariate of response bias. As response bias increases, accuracy level 1 increases while level 2 decreases. I want to see if there is a ...
2
votes
1answer
333 views

How to perform RMSE analysis in SPSS?

My thesis coach wants me to perform a predictive analysis based on OLS. What I understand is the following: divide the dataset into a training set and a holdout set, for instance 50-50 perform OLS ...
1
vote
2answers
291 views

What terms should I include in a linear regression model?

Consider the following OLS output. My question is: If you have to define a linear equation from the regression, do you then only include significant variables? If so, the equation according to the ...
5
votes
3answers
530 views

How to control for market return in an (SPSS) OLS?

Please consider the following panel dataset: ...
1
vote
2answers
798 views

SPSS dummy variables in OLS

I have a timeseries dataset holding stock data for a large set of companies. Assume the following subset, where obsDay is the observation day (148 days in reality) ...
2
votes
1answer
229 views

Measuring the moderating effect in my analysis?

I'm trying to analyze if the volume and sentiment (valence) of tweets has an effect on the sales of a product (in my case movies). The DV is sales with IV NumberOfTweets, Valence, DaysSinceRelease. ...
3
votes
1answer
64 views

How to handle news coverage ratio in a regression analysis?

I have collected data from Twitter, Google and Wikipedia to look for any correlations (and perhaps predictive value) against the stock market. I have collected daily Twitter, Google and Wikipedia ...
7
votes
2answers
2k views

Bonferroni correction with Pearson's correlation and linear regression

I am running stats on 5 IVs (5 personality traits, extroversion, agreeableness, conscientiousness, neuroticism, openness) against 3 DVs Attitude to PCT, Attitude to CBT, Attitude to PCT vs CBT. I also ...
3
votes
1answer
343 views

How to interpret relatively good -2LL value & Nagelkerke $R ^2$ without any significant IVs

My model's chi square says my 'full' model isn't significantly better than the null model. But my -2LL is 80 (isn't this pretty low?) and my Nagelkerke $R^2$ is .20. On the other hand, there isn't a ...
3
votes
1answer
2k views

How to perform regression on panel-data with timelag in SPSS / PASW?

For my thesis, I have gathered search volume data (svi) from Google and message data from Twitter (tweets is the number of daily ...
1
vote
1answer
583 views

binary logistic regression analysis (method=ENTER) model has all beta values are statistically non-significant

My binary logistic regression analysis (method=ENTER) model has all beta values are statistically non-significant. Should I include these predictors in the final binary logistic regression equation?
3
votes
3answers
2k views

Robust standard errors in multiple regression

I use Andrew F. Hayes' macro for SPSS (HCREG at http://www.afhayes.com/spss-sas-and-mplus-macros-and-code.html) to perform multiple regression analyses with robust standard errors. The information I ...

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