Dear all,
Can we say that the study will give more impact if we use t-values of two-tailed even though our hypotheses are rather one-tail tests?
Can we, for example; the hypotheses of our study is directional and therefore we should use one tail sig. value. From the results of bootstrapping it shows that the t-values are non-significance if we use the cut-off of two tailed but accepted if one-tailed values are used. Therefore, can we just proceed using t-values for one-tailed?
Thanks.
Raha
T-Values
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Use of one-tailed or two-tailed tests
Hi,
You should use one- or two-tailed tests depending on if your hypothesis states the direction of the relationship (i.e. positive/negative, use one-tailed) or does not state a direction (i.e. just that there is a relationship, use two-tailed).
You should use one- or two-tailed tests depending on if your hypothesis states the direction of the relationship (i.e. positive/negative, use one-tailed) or does not state a direction (i.e. just that there is a relationship, use two-tailed).
Dr PJ Rosenberger III
Lecturer in Marketing
Marketing Group
University of Newcastle
Business Offices
10 Chittaway Road
Ourimbah NSW 2258
Australia
Lecturer in Marketing
Marketing Group
University of Newcastle
Business Offices
10 Chittaway Road
Ourimbah NSW 2258
Australia
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- PLS Junior User
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- Real name and title: Kim Arthur
Re: T-Values, one-tailed or two-tailed, bootstrap
Hi all,
Thank you Dr Christian Nitzl for providing the following t-values:
The critical t-values for a two-tail test are:
90% significance t-value = 1.64
95% significance t-value = 1.96
99% significance t-value = 2.58
For a one-tailed test the critical t-values are:
90% significance t-value = 1.28
95% significance t-value = 1.64
99% significance t-value = 1.96
I'm new to research and have the following questions:
Question 1: I have noticed a number of researchers in their Master/PhD theses had one-tailed hypotheses (e.g.: A is positively related to B. "OR" A has positive influence on B.). And the significance level in their theses was often set at 0.05. However, when running hypothesis testing Bootstrapping, the two-tailed test type was used, which gives them t-value 1.96, instead of 1.645 if one-tail test type is used. Why is this so?
Question 2: I have also noticed the default test type for bootstrapping in SmartPLS is two-tailed. Should I follow the default two-tailed, like everyone else, or should I change to one-tailed test which perhaps suits my study better? My study involves only one-tailed hypotheses and sets significance level at 5%.
Question 3: For running PLS Algorithm, should I select Factor or Path weighting scheme?
I greatly appreciate your help to demystify my query.
Kim
Thank you Dr Christian Nitzl for providing the following t-values:
The critical t-values for a two-tail test are:
90% significance t-value = 1.64
95% significance t-value = 1.96
99% significance t-value = 2.58
For a one-tailed test the critical t-values are:
90% significance t-value = 1.28
95% significance t-value = 1.64
99% significance t-value = 1.96
I'm new to research and have the following questions:
Question 1: I have noticed a number of researchers in their Master/PhD theses had one-tailed hypotheses (e.g.: A is positively related to B. "OR" A has positive influence on B.). And the significance level in their theses was often set at 0.05. However, when running hypothesis testing Bootstrapping, the two-tailed test type was used, which gives them t-value 1.96, instead of 1.645 if one-tail test type is used. Why is this so?
Question 2: I have also noticed the default test type for bootstrapping in SmartPLS is two-tailed. Should I follow the default two-tailed, like everyone else, or should I change to one-tailed test which perhaps suits my study better? My study involves only one-tailed hypotheses and sets significance level at 5%.
Question 3: For running PLS Algorithm, should I select Factor or Path weighting scheme?
I greatly appreciate your help to demystify my query.
Kim